CA2250030C - Method of assaying downhole occurrences and conditions - Google Patents

Method of assaying downhole occurrences and conditions Download PDF

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Publication number
CA2250030C
CA2250030C CA002250030A CA2250030A CA2250030C CA 2250030 C CA2250030 C CA 2250030C CA 002250030 A CA002250030 A CA 002250030A CA 2250030 A CA2250030 A CA 2250030A CA 2250030 C CA2250030 C CA 2250030C
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Prior art keywords
bit
work
signals
signal
incremental
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CA2250030A1 (en
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Lee Morgan Smith
William A. Goldman
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Halliburton Energy Services Inc
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Halliburton Energy Services Inc
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    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B44/00Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B12/00Accessories for drilling tools
    • E21B12/02Wear indicators
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B44/00Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
    • E21B44/005Below-ground automatic control systems
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
    • E21B49/003Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells by analysing drilling variables or conditions
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/22Fuzzy logic, artificial intelligence, neural networks or the like

Abstract

A method of assaying work of a bit (10) of a given size and design comprises the steps of drilling a hole with the bit (10) from an initial point (I) to a terminal point (T) and recording the distance between the initial and terminal points. Electrical incremental actual force signals (18) are generated, each corresponding to a force of the bit (10) over a respective increment of the distance between the initial and terminal points. Electrical incremental distance signals (14) are also generated, each corresponding to the length of the increment for a respective one of the incremental actual force signals (18). The incremental actual force signals and incremental distance signals are processed to produce a value corresponding to the total work done by the bit in drilling from the initial point to the terminal point. Using such a work assay, a number of other downhole occurrences and/or conditions can be assayed.

Description

METHOD-OF ASSAYING DOWNHOLE
OCCURRENCES AND CONDITIONS
BACKGROUND OF THE INVENTION
From the very beginning of the oil and gas well drilling industry, as we know it, one of the biggest challenges has been the fact that it is impossible to actually see what is going on downhole. There are any number of downhole conditions and/or occurrences which can be of great importance in determining how to proceed with the operation. It goes without saying that all methods for attempting to assay such downhoie conditions and/or occurrences are indirect.
to To that extent, they are all less than ideal, and there is a constant effort in the industry to develop simpler andlor more accurate methods.
In general, the approach of the art has been to focus on a particular downhole condition or occurrence and develop a way of assaying that particular thing. For example, U.S. Patent No. 5,305,836, discloses a method whereby the wear of a bit currently in use can be electronically modeled, based on the lithology of the hole being drilled by that bit. This helps the operator know when it is time to replace the bit.
The process of determining what type of bit to use in a given part of a given formation has, traditionally, been, at best, based only on very broad, general considerations, and at worst, more a matter of art and guess work than of science.
__ Other examples could be given for other kinds of conditions and/or occurrences.
Furthermore, there are still other conditions and/or occurrences which
2 would be helpful to know. However, because they are less necessary, and in view of the priority of developing better ways of assaying those things which are more important, little or no attention has been given to methods of assaying these other conditions.
SUMMARY OF THE INVENTION
Surprisingly, to applicant's knowledge, no significant attention has been given to a method for assaying the work a bit does in drilling a hole from an initial point to a terminal point. The present invention provides a very pragmatic method of doing so. The particular method of the present invention is relatively easy to implement, and perhaps more importantly, the work assay provides a common ground for developing assays of many other conditions and occurrences.
More specifically, a hole is drilled with a bit of the size and design in question from an initial point to a terminal point. As used herein, "initial point"
need not (but can) represent the point at which the bit is first put to work in the hole. Likewise, the "terminal point" need not (but can) represent the point at which the bit is pulled and replaced. The initial and terminal points can be any two points between which the bit in question drills, and between which the data necessary for the subsequent steps can be generated.
In any event, the distance between the initial and terminal points is __ recorded and divided into a number of, preferably small, increments. A
plurality of electrical incremental actual force signals, each corresponding to the force of the bit over a respective increment of the distance between the initial and
3 --terminal points, are generated. A plurality of electrical incremental distances signals, each corresponding to the length of the increment for a respective one of the incremental actual force signals, are also generated. The incremental actual force signals and the incremental distance signals are processed by a computer to produce a value corresponding to the total work done by the bit in drilling from the initial point to the terminal point.
In preferred embodiments of the invention, the work assay may then be used to develop an assay of the mechanical efficiency of the bit as well as a continuous rated work relationship between work and wear for the bit size and design in question. These, in turn, can be used to develop a number of other things.
For example, the rated work relationship includes a maximum-wear-maximum-work point, sometimes referred to herein as the "work rating," which represents the total amount of work the bit can do before it is worn to the point where it is no longer realistically useful. This work rating, and the relationship of which it is a part, can be used, along with the efficiency assay, in a process of determining whether a bit of the size and design in question can drill a given interval of formation. Other bit designs can be similarly evaluated, whereafter an educated, scientific choice can be made as to which bit or series of bits should be used to drill that interval.
Another preferred embodiment of the invention using the rated work ,_ relationship includes a determination of the abrasivity of the rock drilled in a given section of a hole. This, in turn, can be used to refine some of the other conditions assayed in accord with various aspects of the present invention, such
4 PCTIUS97/04543 as the bit selection process referred to above.
The rated work relationship can also be used to remotely model wear of a bit in current use in a hole, and the determination of abrasivity can be used to refine this modeling if the interval the bit is drilling is believed, e.g. due to experiences with nearby "offset wells," to contain relatively abrasive rock.
BRIEF DESCRIPTION OF THE DRAWINGS
Fig. 1 is a diagram generally illustrating various processes which can be performed in accord with the present invention.
Fig. 2 is a graphic illustration of the rated work relationship.
Fig. 3 is a graphic illustration of work loss due to formation abrasivity.
Fig. 4 is a graphic illustration of a relationship between rock compressive strength and bit efficiency.
Fig. 5 is a graphic illustration of a relationship between cumulative work done by a bit and reduction in the efficiency of that bit due to wear.
Fig. 6 is diagram generally illustrating a bit selection process.
Fig. 7 is a graphic illustration of power limits.
DETAILED DESCRIPTION
Referring to Fig. 1, the most basic aspect of the present invention _ involves assaying work of a well drilling bit 10 of a given size and design.
A well bore or hole 12 is drilled, at least partially with the bit 10. More specifically, bit 10 will have drilled the hole 12 between an initial point I and a terminal point T.

In this illustrative embodiment, the initial point I is the point at which the bit 10 was first put to work in the hole 12, and the terminal point T is the point at which the bit 10 was withdrawn. However, for purposes of assaying work per se, points I and T can be any two points which can be identified, between which the
5 bit 10 has drilled, and between which the necessary data, to be described below, can be generated.
The basic rationale is to assay the work by using the well known relationship:
Fb~ ~1 ) 1 o where:
S2b = bit work Fb = total force at the bit D = distance drilled The length of the interval of the hole 12 between points I and T can be determined and recorded as one of a number of well data which can be generated upon drilling the well 12, as diagrammatically indicated by the line 14.
To convert it into an appropriate form for inputting into and processing by the computer 16, this length, i.e. distance between points I and T, is preferably subdivided into a number of small increments of distance, e.g. of about one-half foot each. For each of these incremental distance values, a corresponding a electrical incremental distance signal is generated and inputted into the -_ computer 16, as indicated by line 18. As used herein, in reference to numerical values and electrical signals, the term "corresponding" will mean "functionally related," and it will be understood that the function in question could, but need d ii i i
6 not, be a simple equivalency relationship. "Corresponding precisely to" will mean that the signal translates directly to the value of the very parameter in question.
In order to determine the work, a plurality of electrical incremental actual S force signals, each corresponding to the force of the bit over a respective increment of the distance between points I and T, are also generated. However, because of the difficulties inherent in directly determining the total bit force, signals corresponding to other parameters from the well data 14, for each increment of the distance, are inputted, as indicated at 18. These can, theoretically, be capable of determining the true total bit force, which includes the applied axial force, the torsional force, and any applied lateral force.
However, unless lateral force is purposely applied (in which case it is known), i.e. unless stabilizers are absent from the bottom hole assembly, the lateral force is so negligible that it can be ignored.
In one embodiment, the well data used to generate the incremental actual force signals are:
- weight on bit (w), e.g. in Ib.;
- hydraulic impact force of drilling fluid (F;), e.g. in Ib.;
- rotary speed, in rpm (N);
- torque (T), e.g. in ft.*Ib.;
- penetration rate (R), e.g. in ft./hr. and;
- lateral force, if applicable (F,), e.g. in Ib.
With these data for each increment, respectively, converted to corresponding signals inputted as indicated at 18, the computer 16 is _.
programmed or configured to process those signals to generate the incremental actual force signals to perform the electronic equivalent of solving the following equation:
~2b = [(w + F;) + 120nNTIR + F,]D (2) where the lateral force, F,, is negligible, that term, and the corresponding electrical signal, drop out.
Surprisingly, it has been found that the torsional component of the force is the most dominant and important, and in less preferred embodiments of the invention, the work assay may be performed using this component of force alone, in which case the corresponding equation becomes:
f2b = [120rrNTIR]D
(3) In an alternate embodiment, in generating the incremental actual force signals, the computer 16 may use the electronic equivalent of the equation:
~2b = 2rrTId~D (4) where d represents depth of cut per revolution, and is, in turn, defined by the relationship:
d~ = R/60N
The computer 16 is programmed or configured to then process the incremental actual force signals and the respective incremental distance signals to produce an electrical signal corresponding to the total work done by the bit 10 in drilling between the points I and T, as indicated at block 34. This signal ,_ may be readily converted to a humanly perceivable numerical value outputted by computer 16, as indicated by the line 36, in the well known manner.
The processing of the incremental actual force signals and incremental WO 97!36084 PCT/US97/04543 distance signals to produce total work 34 may be done in several different ways.
For example:
In one version, the computer processes the incremental actual force signals and the incremental distance signals to produce an electrical weighted average force signal corresponding to a weighted average of the force exerted by the bit between the initial and terminal points. By "weighted average" is meant that each force value corresponding to one or more of the incremental actual force signals is "weighted" by the number of distance increments at which that force applied. Then, the computer simply performs the electronic equivalent of multiplying the weighted average force by the total distance between points I and T to produce a signal corresponding to the total work value.
In another version, the respective incremental actual force signal and incremental distance signal for each increment are processed to produce a respective electrical incremental actual work signal, whereafter these incremental actual work signals are cumulated to produce an electrical total work signal corresponding to the total work value.
In still another version, the computer may develop a forceldistance function from the incremental actual force signals and incremental distance signals, and then perform the electronic equivalent of integrating that function.
Not only are the three ways of processing the signals to produce a total work signal equivalent, they are also exemplary of the kinds of alternative y_ processes which will be considered equivalents in connection with other processes forming various parts of the present invention, and described below.
Technology is now available for determining when a bit is vibrating excessively while drilling. If it-is determined that this has occurred over at least a portion of the interval between points I and T, then it may be preferable to suitably program and input computer 16 so as to produce respective incremental actual force signals for the increments in question, each of which corresponds to the average bit force for the respective increment. This may be done by using the average (mean) value for each of the variables which go into the determination of the incremental actual force signal.
Wear of a drill bit is functionally related to the cumulative work done by the bit. In a further aspect of the present invention, in addition to determining the work done by bit 10 in drilling between points I and T, the wear of the bit 10 in drilling that interval is measured. A corresponding electrical wear signal is generated and inputted into the computer as part of the historical data 15, 18.
(Thus, for this purpose, point I should be the point the bit 10 is first put to work in the hole 12, and point T should be the point at which bit 10 is removed.) The same may be done for additional wells 24 and 26, and their respective bits 28 and 30.
Figure 2 is a graphic representation of what the computer 16 can do, electronically, with the signals corresponding to such data. Figure 2 represents a graph of bit wear versus work. Using the aforementioned data, the computer 16 can process the corresponding signals to correlate respective work and wear signals and pertorm the electronic equivalent of locating a point on this graph for each of the holes 12, 24 and 26, and its respective bit. For example, point 10' may represent the correlated work and wear for the bit 10, point 28' may represent the correlated work and wear for the bit 28, and point 30' may represent the correlated work end wear for the bit 30. Other points p,, p2 and p3 represent the work and wear for still other bits of the same design and size not shown in Figure 1.
By processing the signals corresponding to these points, the computer 5 16 can generate a function, defined by suitable electrical signals, which function, when graphically represented, takes the form of a smooth curve generally of the form of curve c, it will be appreciated, that in the interest of generating a smooth and continuous curve, such curve may not pass precisely through all of the individual points corresponding to specific empirical data. This continuous to "rated work relationship" can be an output 39 in its own right, and can also be used in various other aspects of the invention to be described below.
it is helpful to determine an end point p~ which represents the maximum bit wear which can be endured before the bit is no longer realistically useful and, from the rated work relationship, determining the corresponding amount of work.
Thus, the point pm~ represents a maximum-wear-maximum-work point, sometimes referred to herein as the "work rating" of the type of bit in question.
It may also be helpful to develop a relationship represented by the mirror image of curve c,, i.e. curve cz, which plots remaining useful bit life versus work done from the aforementioned signals.
The electrical signals in the computer which correspond to the functions represented by the curves c, and c2 are preferably transformed into a visually ,_ perceptible form, such as the curves as shown in Fig. 2, when outputted at 39.
As mentioned above in another context, bit vibrations may cause the bit force to vary significantly over individual increments. In developing the rated work relationship, it is preferable in such cases, to generate a respective peak force signal corresponding to the maximum force of the bit over each such increment. A limit corresponding to the maximum allowable force for the rock a strength of that increment can also be determined as explained below. For any such bit which is potentially considered for use in developing the curve c,, a value corresponding to the peak force signal should be compared to the limit, and if that value is greater than or equal to the limit, the respective bit should be excluded from those from which the rated work relationship signals are generated. This comparison can, of course, be done electronically by computer l0 16, utilizing an electrical limit signal corresponding to the aforementioned limit.
The rationale for determining the aforementioned limit is based on an analysis of the bit power. Since work is functionally related to wear, and power is the rate of doing work, power is functionally related to (and thus an indication of) wear rate.
Since power, P = Fb D/t (g) = Fb R (6a) where t = time R = penetration rate, a fundamental relationship also exists between penetration rate and power.
For adhesive and abrasive wear of rotating machine parts, published studies indicate that the wear rate is proportional to power up to a critical power ,_ limit above which the wear rate increases rapidly and becomes severe or catastrophic. The wear of rotating machine parts is also inversely proportional to the strength of the weaker material. The drilling process is fundamentally different from lubricated rotating machinery in that the applied force is always proportional to the strength of the weaker material.
In Fig. 7, wear rate for the bit design in question is plotted as a function of power for high and low rock compressive strengths in curves cs and cs, respectively. It can be seen that in either case wear rate increases linearly with power to a respective critical point pH or p~ beyond which the wear rate increases exponentially. This severe wear is due to increasing frictional forces, elevated temperature, and increasing vibration intensity (impulse loading).
Catastrophic wear occurs at the ends eH and e~ of the curves under steady state to conditions, or may occur between pH and eH (or between p~ and e~) under high impact loading due to excessive vibrations. Operating at power levels beyond the critical points pH, p~ exposes the bit to accelerated wear rates that are no longer proportional to power and significantly increases the risk of catastrophic wear. A limiting power curve c~ may be derived empirically by connecting the critical points at various rock strengths. Note that this power curve is also a function of cutter (or tooth) metallurgy and diamond quality, but these factors are negligible, as a practical matter. The curve c, defines the limiting power that avoids exposure of the bit to severe wear rates.
Once the limiting power for the appropriate rock strength is thus determined, the corresponding maximum force limit may be extrapolated by simply dividing this power by the rate of penetration.
Alternatively, the actual bit power could be compared directly to the power limit.
Of course, all of the above, including generation of signals corresponding WO 97/36084 PCTlCTS97/04543 to curves cs, cs and c,, extrapalation of a signal corresponding to the maximum force limit, and comparing the limit signal, may be done electronically by computer 16 after it has been inputted with signals corresponding to appropriate historical data.
Other factors can also affect the intensity of the vibrations, and these may also be taken into account in preferred embodiments. Such other factors include the ratio of weight on bit to rotary speed, drill string geometry and rigidity, hole geometry, and the mass of the bottom hole assembly below the neutral point in the drill string.
The manner of generating the peak force signal may be the same as that described above in generating incremental actual force signals for increments in which there is no vibration problem, i.e. using the electronic equivalents of equations (2), (3), or (4)+(5), except that for each of the variables, e.g. w, the maximum or peak value of that variable for the interval in question will be used (but for R, for which the minimum value should be used).
One use of the rated work relationship is in further developing information on abrasivity, as indicated at 48. Abrasivity, in turn, can be used to enhance several other aspects of the invention, as described below.
As for the abrasivity per se, it is necessary to have additional historical data, more specifically abrasivity data 50, from an additional well or hole 52 which has been drilled through an abrasive stratum such as "hard stringer" 54, y_ and the bit 56 which drilled the interval including hard stringer 54.
It should be noted that, as used herein, a statement that a portion of the formation is "abrasive" means that the rock in question is relatively abrasive, e.g.

quartz or sandstone, by way of comparison to shale. Rock abrasivity is essentially a function of the rock surface configuration and the rock strength.
The configuration factor is not necessarily related to grain size, but rather than to grain angularity or "sharpness."
Turning again to Fig. 1, the abrasivity data 50 include the same type of data 58 from the well 52 as data 14, i.e. those well data necessary to determine work, as well as a wear measurement 60 for the bit 56. In addition, the abrasivity data include the volume 62 of abrasive medium 54 drilled by bit 56.
The latter can be determined in a known manner by analysis of well logs from l0 hole 62, as generally indicated by the black box 64.
As with other aspects of this invention, the data are converted into respective electrical signals inputted into the computer 16 as indicated at 66.
The computer 16 quantifies abrasivity by processing the signals to perForm the electronic equivalent of solving the equation:
~ _ (rated ' ~b)Nabr where:
~ = abrasivity ~2b = actual bit work (for amount of wear of bit 56) rated = rated work (for the same amount of wear) Vabr = volume of abrasive medium drilled For instance, suppose that a bit has done 1,000 ton-miles of work and is y_ pulled with 50% wear after drilling 200 cubic feet of abrasive medium.
Suppose also that the historical rated work relationship for that particular bit indicates that the wear should be only 40% at 1,000 ton-miles and 50% at 1,200 ton-miles of 15 w work as indicated in Fig. 3. - In other words, the extra 10% of abrasive wear corresponds to an additional 200 ton-miles of work. Abrasivity is quantified as ' a reduction in bit life of 200 ton-miles per 200 cubic feet of abrasive medium drilled or 1 (ton*mile/ft3). This unit of measure is dimensionally equivalent to laboratory abrasivity tests. The volume percent of abrasive medium can be determined from well logs that quantify lithologic component fractions. The volume of abrasive medium drilled may be determined by multiplying the total volume of rock drilled by the volume fraction of the abrasive component.
Alternatively, the lithological data may be taken from logs from hole 52 by measurement while drilling techniques as indicated by black box 64.
The rated work relationship 38 and, if appropriate, the abrasivity 48, can further be used to remotely model the wear of a bit 68 of the same size and design as bits 10, 28, 30 and 56 but in current use in drilling a hole 70. In the exemplary embodiment illustrated in Fig. 1, the interval of hole 70 drilled by bit 68 extends from the surface through and beyond the hard stringer 54.
Using measurement while drilling techniques, and other available technology, the type of data generated at 14 can be generated on a current basis for the well 70 as indicated at 72. Because this data is generated on a current basis, it is referred to herein as "real time data." The real time data is converted into respective electrical signals inputted into computer 16 as indicated at 74. Using the same process as for the historical data, i.e. the - process indicated at 34, the computer can generate incremental actual force signals and corresponding incremental distance signals for every increment drilled by bit 68. Further, the computer can process the incremental actual force a ii i i i signals and the incremental distance signals for bit 68 to produce a respective electrical incremental actual work signal for each increment drilled by bit 68, and periodically cumulate these incremental actual work signals. This in turn produces an electrical current work signal corresponding to the work which has currently been done by bit 68. Then, using the signals corresponding to the rated work relationship 38, the computer can periodically transform the current work signal to an electrical current wear signal indicative of the wear on the bit in use, i.e. bit 68.
These basic steps would be performed even if the bit 68 was not believed to be drilling through hard stringer 54 or other abrasive stratum. Preferably, when the current wear signal reaches a predetermined limit, corresponding to a value at or below the work rating for the size and design bit in question, bit 68 is retrieved.
Because well 70 is near well 52, and it is therefore logical to conclude that bit 68 is drilling through hard stringer 54, the abrasivity signal produced at 48 is processed to adjust the current wear signal produced at 74 as explained in the abrasivity example above.
Once again, it may also be helpful to monitor for excessive vibrations of the bit 68 in use. If such vibrations are detected, a respective peak force signal should be generated, as described above, for each respective increment in which such excessive vibrations are experienced. Again, a limit corresponding to the maximum allowable force for the rock strength of each of these increments is also determined and a corresponding signal generated. Computer 16 electronically compares each such peak force signal to the respective limit WO 97136084 ~ PCT/US97I04S43 signal to assay possible wear in~ excess of that corresponding to the. current wear signal. Remedial action can betaken. For example, one may reduce the operating power level, i.e. the weight on bit and/or rotary speed.
In any case, the cxurertt wear signal is preferably outputted in some type of visually perceptible form as indicated at 76.
As indicated, preferred embodiments include real time wear modeling of a bit currently in use, based at least in part on data generated in that very drilling operation. However, it will be appreciated that, in less preferred embodiments, the work 54, rated work. relationship 66, andlor abrasivity 48 generated by the present invention will still be useful in at least estimating the time at which the bit should be retrieved; whether or not drilling conditions, such as weight-on-bit, rotary speed, etc. should be altered from time to time; and the like. The same is true of efficiency 78, to be described more fully below, which, as also described more fully below, can likewise be used in generating the v~ar model 74.
In addition to the rated work relationship 38, the work signals produced at 34 can also be used to assay the mechanical efficiency of bit size and type 10, as indicated at 78.
Specifically, a respective electrical incremental minimum force signal is generated for each increment of a well interv8l, such as I to T, which has been drilled by bit 10. The computer 16 can do this by processing the appropriate signals to perform the electronic equivalent of solving the equation:
F~~ = Q~
C8) where:

WO 97/36084 ~ CA 02250030 2005-02-24 j pCT/US97/04543 F~;" = minimum force required to drill increment a; = in-situ rock compressive strength Ab = total cross-sectional-area of bit The total _in-situ rock strength opposing the total drilling force may be expressed as:
ai ' flail + faaia + flan and, I=ft+fa+fi (10) where:
a; = in-situ rock strength opposing the total bit force ft = torsional fraction of the total bit force (applied force) a~ = in-situ rock strength opposing the torsional bit force fa = axial fraction of the total bit force (applied force) a~ = in-situ rock strength opposing the axial bit force f, = lateral fraction of the total bit force (reactive force, often zero mean value, negligible with BHA
stabilization) a;, = in-situ rock strength opposing the lateral bit force.
Since the torsional fraction dominates the total drilling force (i.e. ft is 2o approximately equal to 1 ), in the in-situ rock strength is essentially equal to the torsional rock strength, or a; = a~~
A preferred method of modeling a, is explained in U.S. Patent No.
5,767,399, entitled "Method of Assaying Compressive Strength of Rock.

19 w The minimum force signals~correspond to the minimum force theoretically required to fail the rock in each respective increment, i.e. hypothesizing a bit with ideal efficiency.
Next, these incremental minimum force signals and the respective incremental distance signals are processed to produce a respective incremental minimum work signal for each increment, using the same process as described in connection with box 34.
Finally, the incremental actual work signals and the incremental minimum work signals are processed to produce a respective electrical incremental actual efficiency signal for each increment of the interval I-T (or any other well increment subsequently so evaluated). This last step may be done by simply processing said signals to perform the electronic equivalent of taking the ratio of the minimum work signal to the actual work signal for each respective increment.
It will be appreciated, that in this process, and many of the other process portions described in this specification, certain steps could be combined by the computer 1fi. For example, in this latter instance, the computer could process directly from those data signals which have been described as being used to generate force signals, and then -- in turn -- work signals, to produce the efficiency signals, and any such "short cut" process will be considered the equivalent of the multiple steps set forth herein for clarity of disclosure and __ paralleled in the claims, the last-mentioned being one example only.
As a practical matter, computer 16 can generate each incremental actual efficiency signal by processing other signals already defined herein to perform the electronic equivalent of solving the following equation:
Eb = (Qitft + Qiafa + anf~) A~(2nT/d~ + w + F~ + f~) (11 ) However, although equation 11 is entirely complete and accurate, it represents a certain amount of overkill, in that some of the variables therein 5 may, as a practical matter, be negligible. Therefore, the process may be simplified by dropping out the lateral efficiency, resulting in the equation:
Eb = (Qnft '~' Qiafa) ~/(2TtT/dc + w + F;) (12) or even further simplified by also dropping out axial efficiency and other negligible terms, resulting in the equation:
10 Eb = Q~c(d~)(~2n) (13) Other equivalents to equation (11 ) include:
Eb = Ab(Q~cft2lFt + CJiafe2/Fe + Qnf~z/F,) (14) The efficiency signals may be outputted in visually perceptible form, as indicated at 80.
15 As indicated by line 82, the efficiency model can also be used to embellish the real time wear modeling 74, described above. More particularly, the actual or real time work signals for the increments drilled by bit 68 may be processed with respective incremental minimum work signals from reference hole 52 to produce a respective electrical real time incremental efficiency signal 20 for each such increment of hole 70, the processing being as described above.
As those of skill in the art will appreciate (and as is the case with a number of ,_ the sets of signals referred to herein) the minimum work signals could be produced based on real time data from hole 70 instead of, or in addition to, data from reference hole 52.

These real time incremental efficiency signals are compared, preferably electronically by computer 16, to the respective incremental "actual"
efficiency signals based on prior bit and well data. If the two sets of efficiency signals diverge over a series of increments, the rate of divergence can be used to determine whether the divergence indicates a drilling problem, such as catastrophic bit failure or balling up, on the one hand, or an increase in rock abrasivity, on the other hand. This could be particularly useful in determining, for example, whether bit 68 in fact passes through hard stringer 54 as anticipated and/or whether or not bit 68 passes through any additional hard stringers. Specifically, if the rate of divergence is high, i.e. if there is a relatively abrupt change, a drilling problem is indicated. On the other hand, if the rate of divergence is gradual, an increase in rock abrasivity is indicated.
A decrease in the rate of penetration (without any change in power or rock strength) indicates that such an efficiency divergence has begun.
Therefore, it is helpful to monitor the rate of penetration while bit 68 is drilling, and using any decreases) in the rate of penetration as a trigger to so compare the real time and actual efficiency signals.
Efficiency 78 can also be used to other purposes, as graphically indicated in Figs. 4 and 5. Referring first to Fig. 4, a plurality of electrical compressive strength signals, corresponding to difference rock compressive strengths actually experienced by the bit, may be generated. Each of these compressive strength signals is then correlated with one of the incremental actual efficiency signals corresponding to actual efficiency of the bit in an increment having the respective rock compressive strength. These correlated signals are graphically WO 97!36084 PCT/US97/04543 represented by points s, through ss in Fig. 4. By processing these, computer can extrapolate one series of electrical signals corresponding to a continuous efficiency-strength relationship, graphically represented by the curve c3, for the bit size and design in question. In the interest of extrapolating a smooth and continuous function c3, it may be that the curve c3 does not pass precisely through each of the points from which it was extrapolated, i.e. that the one series of electrical signals does not include precise correspondents to each pair of correlated signals s, through s5.
Through known engineering techniques, it is possible to determine a rock compressive strength value, graphically represented by L,, beyond which the bit design in question cannot drill, i.e. is incapable of significant drilling action and/or at which bit failure will occur. The function c3 extrapolated from the correlated signals may be terminated at the value represented by L,. In addition, it may be helpful, again using well known engineering techniques, to determine a second limit or cutoff signal, graphically represented by Lz, which represents an economic cutoff, i.e. a compressive strength beyond which it is economically impractical to drill, e.g. because the amount of progress the bit can make will not justify the amount of wear. Referring also to Fig. 5, it is possible for computer 16 to extrapolate, from the incremental actual efficiency signals and the one series of signals represented by curve c3, another series of electrical signals, graphically represented by curve c4 in Fig. 5, corresponding ,_ to a continuous relationship between cumulative work done and efficiency reduction due to wear for a given rock strength. This also may be developed from historical data. The end point pmax, representing the maximum amount of work which can be done before bit~failure, is the same as the like-labeled point in Fig. 2. Other curves similar to c4 could be developed for other rock strengths in the range covered by Fig. 4.
Referring again to Figure 1, it is also possible for computer 16 to process signals already described below to produce a signal corresponding to the rate of penetration, abbreviated "ROP," and generally indicated at 81. As mentioned above, there is a fundamental relationship between penetration rate and power.
This relationship is, more specifically, defined by the equation:
R = PnmEb~QiAb l0 it will be appreciated that all the variables in this equation from which the penetration rate, R, are determined, have already been defined, and in addition, will have been converted into corresponding electrical signals inputted into computer 16. Therefore, computer 16 can determine penetration rate by processing these signals to perform the electronic equivalent of solving equation 15.
The most basic real life application of this is in predicting penetration rate, since means are already known for actually measuring penetration rate while drilling. One use of such a prediction would be to compare it with the actual penetration rate measured while drilling, and if the comparison indicates a significant difference, checking for drilling problems.
A particularly interesting use of the rated work relationship 38, efficiency ,- 78 and its corollaries, and ROP 81 is in determining whether a bit of the design in question can drill a significant distance in a given interval of formation, and if so, how far and/or how fast. This can be expanded to assess a number of different bit designs in this respect, and for those bit designs for which one or more of the bits in question can drill the interval, an educated bit selection can be made on a cost-per-unit-length-of-formation-drilled basis. The portion of the electronic processing of the signals involved in such determinations of whether or not, or how far, a bit can drill in a given formation, are generally indicated by the bit selection block 42 in Fig. 1. The fact that these processes utilize the rated work relationship 38, efficiency 78, and ROP 81 is indicated by the lines 44, 83, and 82, respectively. The fact that these processes result in outputs is indicated by the line 46.
Figure 6 diagrams a decision tree, interfaced with the processes which can be performed by computer 16 at 42, for a preferred embodiment of this aspect of the invention. The interval of interest is indicated by the line H
in Fig.
1, and due to its proximity to holes 52 and 70, presumptively passes through hard stringer 54.
I S First, as indicated in block 90, the maximum rock compressive strength for the interval H of interest is compared to a suitable limit, preferably the value at LZ in Fig. 4, for the first bit design to be evaluated. The computer 16 can do this by comparing corresponding signals. If the rock strength in the interval H
exceeds this limit, then the bit design in question is eliminated from consideration. Otherwise, the bit has "O.K." status, and we proceed to block 92.
The interval H in question will have been subdivided into a number of very small increments, and corresponding electrical signals will have been inputted into the computer 16. For purposes of the present discussion, we will begin with the first two such increments. Through the processes previously described in connection with block 78 in Fig. 1~, an efficiency signal for a new bit of the first type can be chosen for the rock strength of the newest increment in interval H, which in this early pass will be the second of the aforementioned two increments.
Preferably, computer 16 will have been programmed so that those increments of interval H which presumptively pass through hard stringer 54 will be identifiable. In a process diagrammatically indicated by block 94, the computer determines whether or not the newest increment, here the second increment, is abrasive. Since the second increment will be very near the surface or upper end of interval H, the answer in this pass will be "no."
The process thus proceeds directly to block 98. If this early pass through the loop is the first pass, there wilt be no value for cumulative work done in preceding increments. If, on the other hand, a first pass was made with only one increment, there may be a value for the work done in that first increment, and an adjustment of the efficiency signal due to efficiency reduction due to that prior work may be done at block 98 using the signals diagrammatically indicated in Fig. 5. However, even in this latter instance, because the increments are so small, the work and efficiency reduction from the first increment will be negligible, and any adjustment made is insignificant.
As indicated at block 99, the computer will then process the power limit, efficiency, in situ rock strength, and bit cross sectional area signals, to model the ,_ rate of penetration for the first two increments (if this is the very first pass through the loop) or for the second increment (if a first pass was made using the first increment only). In any case, each incremental ROP signal may be stored.

Alternatively, each incremenfial ROP signal may be transformed to produce a corresponding time signal, for the time to drill the increment in question, and the time signals may be stored. It should be understood that this step need not be performed just after step box 98, but could, for example, be performed between S step boxes 102 and 104, described below.
Next, as indicated at block 100, the computer will process the efficiency signals for the first two increments (or for the second increment if the first one was so processed in an earlier pass) to produce respective electrical incremental predicted work signals corresponding to the work which would be done by the bit in drilling the respective increments. This can be done, in essence, by a reversal of the process used to proceed from block 34 to block in Fig. 1.
As indicated at block 102, the computer then cumulates the incremental predicted work signals for these first two increments to produce a cumulative predicted work signal.
As indicated at block 104, signals corresponding to the lengths of the first two increments are also cumulated and electronically compared to the length of the interval H. For the first two increments, the sum will not be greater than or equal to the length of H, so the process proceeds to block 106. The computer will electronically compare the cumulative work signal determined at block 102 with a signal corresponding to the work rating, i.e. the work value for pm~
(Fig.
2) previously determined at block 38 in Fig. 1. For the first two increments, the cumulative work will be negligible, and certainly not greater than the work rating.
Therefore, as indicated by line 109, we stay in the main loop and return to block 27 _.
92 where another efficiency signal is generated based on the rock strength of the next, i.e. third, increment. The third increment will not yet be into hard stringer 54, so the process will again proceed directly from block 94 to block 98.
Here, the computer will adjust the efficiency signal for the third increment based on the prior cumulative work signal generated at block 102 in the preceding pass through the loop, i.e. adjusting for work which would be done if the bit had drilled through the first two increments. The process then proceeds as before.
For those later increments, however, which do lie within hard stringer 54, the programming of computer 16 will, at the point diagrammatically indicated by block 94, trigger an adjustment for abrasivity, based on signals corresponding to data developed as described hereinabove in connection with block 48 in Fig.
1, before proceeding to the adjustment step 98.
If, at some point, the portion of the process indicated by block 106 shows a cumulative work signal greater than or equal to the work rating signal, we know that more than one bit of the first design will be needed to drill the interval H. At this point, in preferred embodiments, as indicated by step block 107, the stored ROP signals are averaged and then processed to produce a signal corresponding to the time it would have taken for the first bit to drill to the point in question. (If the incremental ROP signals have already been converted into incremental time signals, then, of course, the incremental time signals will simply be summed.) In any event, we will assume that we are now starting another bit - of this first design, so that, as indicated by block 108, the cumulative work signal will be set back to zero before proceeding back to block 92 of the loop.
On the other hand, eventually either the first bit of the first design or some a n i i i i other bit of that first design witl result in an indication at block 104 that the sum of the increments is greater than or equal to the length of the interval H, i.e. that the bit or set of bits has hypothetically drilled the interval of interest. In this case, the programming of computer 16 will cause an appropriate indication, and wi II also cause the process to proceed to block 110, which diagrammatically represents the generation of a signal indicating the remaining life of the last bit of that design. This can be determined from the series of signals diagrammatically represented by curve cz in Fig. 2.
Next, as indicated by step block 111, the computer performs the same l0 function described in connection with step block 107, i.e. produce a signal indicating the drilling time for the last bit in this series (of this design).
Next, as indicated by block 112, the operator will determine whether or not the desired range of designs has been evaluated. As described thus far, only a first design will have been evaluated. Therefore, the operator will select 1 S a second design, as indicated at block 114. Thus, not only is the cumulative work set back to zero, as in block 108, but signals corresponding to different efficiency data, rated work relationship, abrasivity data, etc., for the second design will be inputted, replacing those for the first design, and used in restarting the process. Again, as indicated by 115, the process of evaluating the 20 second design will proceed to the main loop only if the compressive strength cutoff for the second design is not exceeded by the rock strength within the interval H.
At some point, at block 112, the operator will decide that a suitable range of bit designs has been evaluated. We then proceed to block 116, i.e. to select the bit which will result in the minimum cost per foot for drilling interval H. It should be noted that this does not necessarily mean a selection of the bit which can drill the farthest before being replaced. For example, there may be a bit which can drill the entire interval H, but which is very expensive, and a second bit design, for which two bits would be required to drill the interval, but with the total cost of these two bits being less than the cost of one bit of the first design.
In this case, the second design would be chosen.
More sophisticated permutations may be possible in instances where it is fairly certain that the relative abrasivity in different sections of the interval will vary. For example, if it will take at least three bits of any design to drill the interval H, it might be possible to make a selection of a first design for drilling approximately down to the hard stringer 54, a second and more expensive design for drilling through hard stringer 54, and a third design for drilling below hard stringer 54.
The above describes various aspects of the present invention which may work together to form a total system. However, in some instances, various individual aspects of the invention, generally represented by the various blocks within computer 16 in Fig. 1, may be beneficially used without necessarily using all of the others. Furthermore, in connection with each of these various aspects of the invention, variations and simplifications are possible, particularly in less preferred embodiments.
-_ Accordingly, it is intended that the scope of the invention be limited only by the following claims.

Claims (47)

CLAIMS:
1. A method of assaying work of an earth boring bit of a given size and design, comprising the steps of:
drilling a hole with the bit from an initial point to a terminal point through a given formation interval;
recording the distance between the initial and terminal points;
generating a plurality of electrical incremental actual force signals each corresponding to a force of the bit over a respective increment of the distance between the initial and terminal points;
generating a plurality of electrical incremental distance signals, each corresponding to the length of the increment for a respective one of said incremental actual force signals;
processing the incremental actual force signals and the incremental distance signals to produce a value corresponding to the total work done by the bit in drilling from the initial point to the terminal point, and using said value of total work done by the bit in the selection of a bit for drilling a hole in a formation analogous to said given formation interval.
2. The method of claim 1 comprising:
processing the incremental actual force signals and the incremental distance signals to produce an electrical weighted average force signal corresponding to a weighted average of the force exerted by the bit between the initial and terminal points; and multiplying the weighted average force by the distance between the initial and terminal points to produce said total work value,
3. The method of claim 1 comprising;
processing the incremental actual force signals and the incremental distance signals to produce a respective electrical incremental actual work signal for each of said increments; and cumulating said incremental actual work signals to produce an electrical total work signal corresponding to said total work value.
4. The method of claim 1 comprising:
developing a force/distance function by processing the incremental actual force signals and incremental distance signals, and integrating the function.
5. The method of claim 1 wherein bit vibrations cause the bit force to vary over the increment, and each incremental actual force signal corresponds to an average force of the bit for the respective increment.
6. The method of claim 1 wherein each incremental actual force signal is generated from electrical signals corresponding, respectively, to bit rotation speed, bit torque, and rate of bit penetration.
7. The method of claim 6 wherein each incremental actual force signal is also generated from electrical signals corresponding, respectively, to weight on bit and hydraulic impact force.
8. The method of-claim 7 wherein each incremental actual force signal is also generated from an electrical signal corresponding to a lateral force applied to the bit while drilling the respective increment.
9. The method of claim 1 wherein each incremental actual force signal is generated from electrical signals corresponding, respectively, to bit torque and depth of cut per revolution.
10. The method of claim 1 further comprising rating the wear for bits of said size and design, wherein a plurality of such holes are drilled with respective such bits, and respective total work determined for each of the bits, and comprising the further steps of -generating a respective total work signal corresponding to the total work for each of said bits;
retrieving each of the bits from its respective hole after it has reached the respective terminal point;
measuring the wear of each bit after retrieval and generating a respective wear signal;
correlating the total work signal and the wear signal for each bit;
and extrapolating from the correlated total work and wear signals to generate a series of electrical signals corresponding to a continuous rated work relationship between work and wear for the bit size and design.
11. The method of claim 10 wherein said series of signals is transformed into visually perceptible form.
12. The method of claim 10 wherein bit vibrations cause the bit force to vary over the increment, and each incremental actual force signal corresponds to an average force of the bit for the respective increment.
13. The method of claim 12 further comprising:
generating a respective peak force signal corresponding to a maximum force of the bit over the respective increment;
determining a limit corresponding to a maximum allowable force for the rock strength of the respective increment; and comparing a value corresponding to the peak force signal to the limit to assay possible excessive wear.
14. The method of claim 13 wherein, if the value corresponding to the peak force signal is greater than or equal to the limit, excluding the respective bit from those from which the rated work relationship signals are generated.
15. The method of claim 13 comprising producing an electrical limit signal corresponding to the limit and electronically comparing to the limit and peak force signals.
16. The method of claim 10 wherein the rated work relationship so generated includes a correlated maximum-wear-maximum-work point.
17. The method of claim 16 comprising determining whether a first bit of said size and design can drill a given interval of formation, comprising the further steps of:
generating at least two electrical bit efficiency signals, corresponding to the rock strengths in respective, successive increments of said interval;
processing the efficiency signals to produce respective electrical incremental predicted work signals corresponding to the work which would be done by the bit in drilling the respective increments;
processing the incremental predicted work signals to produce an electrical cumulative predicted work signal corresponding to the work which could be done by the bit drilling the increments;
comparing the sum of the lengths of the increments with the length of the interval;
if the sum of the lengths of the increments is less than the length of the interval, comparing the cumulative predicted work signal to an electrical signal corresponding to the work component of the maximum-wear-maximum-work point.
18. The method of claim 17 wherein the cumulative predicted work signal is less than the signal corresponding to the work component of the maximum-wear-maximum-work point, and further comprising:

so generating at least one further efficiency signal for a next successive interval;
adjusting the further efficiency signal for efficiency reductions due to work in prior increments;
so processing the adjusted further efficiency signal to produce a respective further incremental predicted work signal;
so processing all the incremental predicted work signals to produce a new cumulative predicted work signal corresponding to the work which could be done by the bit in drilling all the increments;
so comparing the sum of the lengths of the increments to the length of the interval.
19. The method of claim 18 wherein the sum of the lengths of the increments is less than the length of the interval, and further comprising:
comparing the new cumulative predicted work signal to the signal corresponding to the work component of the maximum-wear-maximum-work point.
20. The method of claim 19 wherein the new cumulative predicted work signal is less than the signal corresponding to the work component of the maximum-wear-maximum-work point, and further comprising repeating the steps of claim 18.
21. The method of claim 19 wherein the new cumulative predicted work signal is greater than or equal to the signal corresponding to the work component of the maximum-wear-maximum-work point, and further comprising repeating the steps of claim 17 for a new bit of the same size and design, but for a new interval less than the original interval by the sum of the lengths of the increments for the first bit.
22. The method of claim 18 wherein the sum of the lengths of the increments is greater than or equal to the length of the interval, and further comprising repeating the steps of claim 17 for a first bit of a different design.
23. The method of claim 22 further comprising, for each increment, generating a signal corresponding to the penetration rate for that increment by processing signals corresponding, respectively, to a limiting power for the rock strength in question, the efficiency for the increment in question, the rock strength in the increment in question, and the transverse cross-sectional area of the bit; and, for each bit, processing the incremental penetration rate signals to produce a signal corresponding to the drilling time for the bit.
24. The method of claim 23 further comprising selecting, from the bit designs able to drill the interval in question, the bit design having the minimum cost per foot.
25. The method of claim 22 further comprising processing the new cumulative predicted work signal and the signal corresponding to the work component of the maximum-wear-maximum-work point to produce an electrical signal corresponding to the remaining useful life of the bit.
26. The method of claim 18 comprising, prior to the steps of claim 17, for at least one reference bit of the size and design of the first bit:
generating a respective electrical incremental minimum force signal corresponding to the minimum force theoretically required to fail the rock in each of said increments;
processing the incremental minimum force signals and the incremental distance signals for the reference bit to produce a respective incremental minimum work signal for each of said increments for the reference bit;
processing the incremental actual force signals and the incremental distance signals to produce a respective incremental actual work signal for each of said increments for the reference bit;
processing the incremental actual work signals and the incremental minimum work signals to produce a respective electrical incremental actual efficiency signal for each increment;
generating a plurality of electrical compressive strength signals corresponding to different rock compressive strengths; correlating each compressive strength signal with one of said incremental actual efficiency signals corresponding to efficiency of the reference bit in an increment having the respective rock compressive strength; and extrapolating from the correlated compressive strength and incremental actual efficiency signals for the reference bit to generate one series of electrical signals corresponding to a continuous efficiency-strength relationship for the bit size and design;
then, in performing the steps of claim 17 and 18; using said one series to determine the magnitude of the bit efficiency signals so generated.
27. The method of claim 26 further comprising, prior to the steps of claim 17, from said efficiency-strength relationship, determining a compressive strength cutoff above which the bit design should not attempt to drill, and comparing the cutoff to the rock strengths in said given interval, and proceeding with the steps of claim 17 for said first bit only if the rock strengths in said given interval are less than or equal to said cutoff.
28. The method of claim 26 further comprising, prior to the steps of claim 17;
from said incremental actual efficiency signals for the reference bit and said one series of signals, extrapolating at least one other series of electrical signals corresponding to a continuous relationship between cumulative work done and efficiency reduction due to wear for a respective one of the rock strengths in said given interval; and in performing the steps of claims 17 and 18, using said other series to so adjust the efficiency signals.
29. The method of claim 17 further comprising:
assaying the abrasivity of the rock in the interval; and further adjusting the incremental predicted work signals for increased wear due to abrasivity.
30. The method of claim 10 wherein each of said holes is drilled through a relatively non-abrasive medium, and further comprising determining the abrasivity of the rock drilled in a given section of another hole with another such bit by:
measuring the wear of said other bit after drilling said section of said other hole;
from said rated work relationship, selecting a value corresponding to the wear of the other bit and generating the corresponding electrical rated work signal;
determining the volume of the abrasive rock drilled in said section of said other hole and generating a corresponding electrical abrasive volume signal;
generating an electrical actual work signal corresponding to the work done by said other bit in drilling said section of said other hole; and processing the actual work signal for said other bit, the rated work signal for said other bit, and the abrasive volume signal to produce an electrical abrasivity signal.
31. The method of claim 30 wherein the volume of abrasive rock drilled in said other hole is determined by processing electrical signals corresponding to lithological data.
32. The method of claim 31 wherein the lithological data are taken from logs from nearby wells.
33. The method of claim 31 wherein the lithological data are taken from said other hole by measurement while drilling techniques.
34. The method of claim 10 further comprising remotely modelling wear of such a bit in use in a current hole being drilled by:
so generating respective incremental actual force signals and incremental distance signals for every increment drilled by said bit-in-use;
processing the incremental actual force signals and the incremental distance signals for the bit-in-use to produce a respective electrical incremental actual work signal for each increment drilled by said bit-in-use;
periodically cumulating said incremental actual work signals to produce an electrical current work signal corresponding to the work which has currently been done by the bit-in-use; and using said rated work relationship, periodically transforming said current work signal to an electrical current wear signal indicative of the wear on the bit-in-use.
35. The method of claim 34 further comprising retrieving said bit-in-use when said current wear signal reaches a predetermined limit.
36. The method of claim 34 wherein, if a reference section of a reference hole, adjacent said current hole, drilled by a reference bit, contained relatively abrasive material:
measuring the wear of the reference bit;
from said rated work relationship, selecting a value corresponding to the wear of the reference bit and generating the corresponding electrical rated work signal;
determining the volume of the abrasive rock drilled in said reference section and generating a corresponding electrical abrasive volume signal;
generating an electrical actual work signal corresponding to the work done by the reference bit; and processing the actual work signal for said reference bit, the rated work signal for said reference bit, and the abrasive volume signal to produce an electrical abrasivity signal; and processing the abrasivity signal to adjust the current wear signal.
37. The method of claim 34 wherein vibrations of the bit in use cause the bit force to vary over the increment, and further comprising:

generating a respective peak force signal corresponding to a maximum force of the bit over the respective increment;
determining a limit corresponding to a maximum allowable force for the rock strength of the respective increment;
comparing a value corresponding to the peak force signal to the respective limit to assay possible wear in excess of that corresponding to the current wear signal.
38. The method of claim 1 further comprising assaying the mechanical efficiency of the bit.
39. The method of claim 35 comprising generating a respective electrical incremental actual efficiency signal, for each increment, corresponding to the efficiency of the bit under normal drilling conditions.
40. The method of claim 39 comprising:
generating a respective electrical incremental minimum force signal corresponding to the minimum force theoretically required to fail the rock in each of said increments;
processing the incremental minimum force signals and the incremental distance signals to produce a respective incremental minimum work signal for each of said increments;
processing the incremental actual force signals and the incremental distance signals to produce a respective incremental actual work signal for each of said increments; and processing the incremental actual work signals and the incremental minimum work signals to produce the respective electrical incremental actual efficiency signal for each increment.
41. The method of claim 40 further comprising:
for an additional hole currently being drilled by an additional such bit, generating electrical real time incremental distance and force signals and so processing those signals to produce a series of electrical real time incremental work signals;
processing the real time incremental work signals with the respective incremental minimum work signals to produce a respective electrical real time incremental efficiency signal for each increment;
comparing the real time incremental efficiency signals to the respective incremental actual efficiency signals;
if the incremental real time efficiency and incremental actual efficiency signals diverge over a series of said increments, using the rate of divergence to determine whether the divergence indicates a drilling problem or an increase in rock abrasivity.
42. The method of claim 41 further comprising monitoring the rate of penetration while drilling, and using a decrease in the rate of penetration as a trigger to so compare the real time incremental efficiency and incremental actual efficiency signals.
43. The method of claim 40 further comprising:
generating a plurality of electrical compressive strength signals corresponding to different rock compressive strengths; correlating each compressive strength signal with one of said incremental actual efficiency signals corresponding to actual efficiency of the bit in an increment having the respective rock compressive strength; and extrapolating from the correlated compressive strength and incremental actual efficiency signals to generate one series of electrical signals corresponding to a continuous efficiency-strength relationship for the bit size and design.
44. The method of claim 43 further comprising:
from said efficiency-strength relationship, determining a compressive strength cutoff above which the bit design should not attempt to drill.
45. The method of claim 43 further comprising:
from said incremental actual efficiency signals and said one series of signals, extrapolating at least one other series of electrical signals corresponding to a continuous relationship between cumulative work done and efficiency reduction due to wear for a respective one of the rock strengths in said given interval.
46. The method of claim 39 comprising generating the actual efficiency signal by processing electrical signals corresponding respectively to:
- depth of cut of the bit;
- axial contact area of the bit;
- weight on the bit;
- torque;
- in situ rock strength opposing torsional bit force;
- in situ rock strength opposing axial bit force; and - total transverse cross-sectional area of the bit;
all for the respective increment.
47. The method of claim 39 comprising generating the actual efficiency signal by processing electrical signals corresponding respectively to:
- in situ rock strength opposing torsional bit force;
- depth of cut of the bit;
- torque; and - total transverse cross-sectional area of the bit;
all for the respective increment.
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Families Citing this family (151)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6612382B2 (en) * 1996-03-25 2003-09-02 Halliburton Energy Services, Inc. Iterative drilling simulation process for enhanced economic decision making
US7032689B2 (en) * 1996-03-25 2006-04-25 Halliburton Energy Services, Inc. Method and system for predicting performance of a drilling system of a given formation
US5794720A (en) * 1996-03-25 1998-08-18 Dresser Industries, Inc. Method of assaying downhole occurrences and conditions
US6052649A (en) * 1998-05-18 2000-04-18 Dresser Industries, Inc. Method and apparatus for quantifying shale plasticity from well logs
GB2341916B (en) * 1998-08-17 2002-11-06 Varco Internat Inc Operator workstation for use on a drilling rig including integrated control and information
US20030051917A1 (en) * 1998-08-31 2003-03-20 Halliburton Energy Services, Inc. Roller cone bits, methods, and systems with anti-tracking variation in tooth orientation
US20040140130A1 (en) * 1998-08-31 2004-07-22 Halliburton Energy Services, Inc., A Delaware Corporation Roller-cone bits, systems, drilling methods, and design methods with optimization of tooth orientation
US7334652B2 (en) * 1998-08-31 2008-02-26 Halliburton Energy Services, Inc. Roller cone drill bits with enhanced cutting elements and cutting structures
US20040045742A1 (en) * 2001-04-10 2004-03-11 Halliburton Energy Services, Inc. Force-balanced roller-cone bits, systems, drilling methods, and design methods
US20040230413A1 (en) * 1998-08-31 2004-11-18 Shilin Chen Roller cone bit design using multi-objective optimization
US20040236553A1 (en) * 1998-08-31 2004-11-25 Shilin Chen Three-dimensional tooth orientation for roller cone bits
EP1371811B1 (en) * 1998-08-31 2011-03-30 Halliburton Energy Services, Inc. Roller cone drill bit, method of designing the same and rotary drilling system
US8437995B2 (en) * 1998-08-31 2013-05-07 Halliburton Energy Services, Inc. Drill bit and design method for optimizing distribution of individual cutter forces, torque, work, or power
US6412577B1 (en) * 1998-08-31 2002-07-02 Halliburton Energy Services Inc. Roller-cone bits, systems, drilling methods, and design methods with optimization of tooth orientation
WO2000012859A2 (en) * 1998-08-31 2000-03-09 Halliburton Energy Services, Inc. Force-balanced roller-cone bits, systems, drilling methods, and design methods
US6095262A (en) * 1998-08-31 2000-08-01 Halliburton Energy Services, Inc. Roller-cone bits, systems, drilling methods, and design methods with optimization of tooth orientation
US6269892B1 (en) 1998-12-21 2001-08-07 Dresser Industries, Inc. Steerable drilling system and method
US6386297B1 (en) 1999-02-24 2002-05-14 Baker Hughes Incorporated Method and apparatus for determining potential abrasivity in a wellbore
US6276465B1 (en) 1999-02-24 2001-08-21 Baker Hughes Incorporated Method and apparatus for determining potential for drill bit performance
US6353799B1 (en) 1999-02-24 2002-03-05 Baker Hughes Incorporated Method and apparatus for determining potential interfacial severity for a formation
US6349595B1 (en) 1999-10-04 2002-02-26 Smith International, Inc. Method for optimizing drill bit design parameters
JP2001117909A (en) * 1999-10-21 2001-04-27 Oki Electric Ind Co Ltd Transposing circuit for matrix form data
US9482055B2 (en) 2000-10-11 2016-11-01 Smith International, Inc. Methods for modeling, designing, and optimizing the performance of drilling tool assemblies
US6785641B1 (en) * 2000-10-11 2004-08-31 Smith International, Inc. Simulating the dynamic response of a drilling tool assembly and its application to drilling tool assembly design optimization and drilling performance optimization
US20050273304A1 (en) * 2000-03-13 2005-12-08 Smith International, Inc. Methods for evaluating and improving drilling operations
US7020597B2 (en) * 2000-10-11 2006-03-28 Smith International, Inc. Methods for evaluating and improving drilling operations
US7464013B2 (en) * 2000-03-13 2008-12-09 Smith International, Inc. Dynamically balanced cutting tool system
US7693695B2 (en) * 2000-03-13 2010-04-06 Smith International, Inc. Methods for modeling, displaying, designing, and optimizing fixed cutter bits
US7251590B2 (en) * 2000-03-13 2007-07-31 Smith International, Inc. Dynamic vibrational control
US8036866B1 (en) 2000-06-16 2011-10-11 Baker Hughes Incorporated Case-based drilling knowledge management system
US6424919B1 (en) 2000-06-26 2002-07-23 Smith International, Inc. Method for determining preferred drill bit design parameters and drilling parameters using a trained artificial neural network, and methods for training the artificial neural network
US8589124B2 (en) * 2000-08-09 2013-11-19 Smith International, Inc. Methods for modeling wear of fixed cutter bits and for designing and optimizing fixed cutter bits
US6634441B2 (en) 2000-08-21 2003-10-21 Halliburton Energy Services, Inc. System and method for detecting roller bit bearing wear through cessation of roller element rotation
US6631772B2 (en) 2000-08-21 2003-10-14 Halliburton Energy Services, Inc. Roller bit rearing wear detection system and method
GB2396428B8 (en) * 2000-08-28 2005-03-19 Halliburton Energy Serv Inc Method and system for predicting performance of a drilling system for a given formation
US9765571B2 (en) * 2000-10-11 2017-09-19 Smith International, Inc. Methods for selecting bits and drilling tool assemblies
US6817425B2 (en) 2000-11-07 2004-11-16 Halliburton Energy Serv Inc Mean strain ratio analysis method and system for detecting drill bit failure and signaling surface operator
US6722450B2 (en) 2000-11-07 2004-04-20 Halliburton Energy Svcs. Inc. Adaptive filter prediction method and system for detecting drill bit failure and signaling surface operator
US6648082B2 (en) 2000-11-07 2003-11-18 Halliburton Energy Services, Inc. Differential sensor measurement method and apparatus to detect a drill bit failure and signal surface operator
US7357197B2 (en) 2000-11-07 2008-04-15 Halliburton Energy Services, Inc. Method and apparatus for monitoring the condition of a downhole drill bit, and communicating the condition to the surface
US6712160B1 (en) 2000-11-07 2004-03-30 Halliburton Energy Services Inc. Leadless sub assembly for downhole detection system
US7003439B2 (en) 2001-01-30 2006-02-21 Schlumberger Technology Corporation Interactive method for real-time displaying, querying and forecasting drilling event and hazard information
US6619411B2 (en) * 2001-01-31 2003-09-16 Smith International, Inc. Design of wear compensated roller cone drill bits
US7066284B2 (en) 2001-11-14 2006-06-27 Halliburton Energy Services, Inc. Method and apparatus for a monodiameter wellbore, monodiameter casing, monobore, and/or monowell
CA2478324C (en) * 2002-04-01 2011-09-06 Martin Zimmerling Reducing effect of magnetic and electromagnetic fields on an implant's magnet and/or electronics
DE10254942B3 (en) * 2002-11-25 2004-08-12 Siemens Ag Method for automatically determining the coordinates of images of marks in a volume data set and medical device
CA2531717A1 (en) * 2003-07-09 2005-01-27 Smith International, Inc. Methods for modeling, designing, and optimizing the performance of drilling tool assemblies
US7195086B2 (en) * 2004-01-30 2007-03-27 Anna Victorovna Aaron Anti-tracking earth boring bit with selected varied pitch for overbreak optimization and vibration reduction
US7434632B2 (en) * 2004-03-02 2008-10-14 Halliburton Energy Services, Inc. Roller cone drill bits with enhanced drilling stability and extended life of associated bearings and seals
US7548873B2 (en) * 2004-03-17 2009-06-16 Schlumberger Technology Corporation Method system and program storage device for automatically calculating and displaying time and cost data in a well planning system using a Monte Carlo simulation software
US7258175B2 (en) * 2004-03-17 2007-08-21 Schlumberger Technology Corporation Method and apparatus and program storage device adapted for automatic drill bit selection based on earth properties and wellbore geometry
US7546884B2 (en) * 2004-03-17 2009-06-16 Schlumberger Technology Corporation Method and apparatus and program storage device adapted for automatic drill string design based on wellbore geometry and trajectory requirements
US7946356B2 (en) * 2004-04-15 2011-05-24 National Oilwell Varco L.P. Systems and methods for monitored drilling
GB2413403B (en) 2004-04-19 2008-01-09 Halliburton Energy Serv Inc Field synthesis system and method for optimizing drilling operations
ITMI20051579A1 (en) * 2004-08-16 2006-02-17 Halliburton Energy Serv Inc DRILLING TIPS WITH ROTATING CONES WITH OPTIMIZED BEARING STRUCTURES
US7636671B2 (en) * 2004-08-30 2009-12-22 Halliburton Energy Services, Inc. Determining, pricing, and/or providing well servicing treatments and data processing systems therefor
US20060100836A1 (en) * 2004-11-09 2006-05-11 Amardeep Singh Performance forecasting and bit selection tool for drill bits
US7412331B2 (en) * 2004-12-16 2008-08-12 Chevron U.S.A. Inc. Method for predicting rate of penetration using bit-specific coefficient of sliding friction and mechanical efficiency as a function of confined compressive strength
US7555414B2 (en) * 2004-12-16 2009-06-30 Chevron U.S.A. Inc. Method for estimating confined compressive strength for rock formations utilizing skempton theory
US7243735B2 (en) * 2005-01-26 2007-07-17 Varco I/P, Inc. Wellbore operations monitoring and control systems and methods
US7142986B2 (en) * 2005-02-01 2006-11-28 Smith International, Inc. System for optimizing drilling in real time
US7954559B2 (en) 2005-04-06 2011-06-07 Smith International, Inc. Method for optimizing the location of a secondary cutting structure component in a drill string
EP1931854A1 (en) 2005-08-08 2008-06-18 Halliburton Energy Services, Inc. Methods and systems for designing and/or selecting drilling equipment using predictions of rotary drill bit walk
US7860693B2 (en) 2005-08-08 2010-12-28 Halliburton Energy Services, Inc. Methods and systems for designing and/or selecting drilling equipment using predictions of rotary drill bit walk
US20070093996A1 (en) * 2005-10-25 2007-04-26 Smith International, Inc. Formation prioritization optimization
US20070185696A1 (en) * 2006-02-06 2007-08-09 Smith International, Inc. Method of real-time drilling simulation
US7464771B2 (en) * 2006-06-30 2008-12-16 Baker Hughes Incorporated Downhole abrading tool having taggants for indicating excessive wear
US7404457B2 (en) * 2006-06-30 2008-07-29 Baker Huges Incorporated Downhole abrading tools having fusible material and methods of detecting tool wear
US7424910B2 (en) * 2006-06-30 2008-09-16 Baker Hughes Incorporated Downhole abrading tools having a hydrostatic chamber and uses therefor
US7484571B2 (en) * 2006-06-30 2009-02-03 Baker Hughes Incorporated Downhole abrading tools having excessive wear indicator
US7472022B2 (en) * 2006-08-31 2008-12-30 Schlumberger Technology Corporation Method and system for managing a drilling operation in a multicomponent particulate system
US7857047B2 (en) * 2006-11-02 2010-12-28 Exxonmobil Upstream Research Company Method of drilling and producing hydrocarbons from subsurface formations
WO2008095005A1 (en) * 2007-01-31 2008-08-07 Halliburton Energy Services, Inc. Rotary drill bits with protected cutting elements and methods
GB2454701B (en) * 2007-11-15 2012-02-29 Schlumberger Holdings Methods of drilling with a downhole drilling machine
GB2468251B (en) * 2007-11-30 2012-08-15 Halliburton Energy Serv Inc Method and system for predicting performance of a drilling system having multiple cutting structures
MX2010006477A (en) 2007-12-14 2010-10-04 Halliburton Energy Serv Inc Methods and systems to predict rotary drill bit walk and to design rotary drill bits and other downhole tools.
US8269501B2 (en) * 2008-01-08 2012-09-18 William Marsh Rice University Methods for magnetic imaging of geological structures
US8301383B2 (en) * 2008-06-02 2012-10-30 Schlumberger Technology Corporation Estimating in situ mechanical properties of sediments containing gas hydrates
US20100078216A1 (en) * 2008-09-25 2010-04-01 Baker Hughes Incorporated Downhole vibration monitoring for reaming tools
CA2680942C (en) * 2008-09-30 2013-06-25 Precision Energy Services, Inc. Downhole drilling vibration analysis
WO2010039342A1 (en) * 2008-10-03 2010-04-08 Halliburton Energy Services Inc. Method and system for predicting performance of a drilling system
US8016050B2 (en) * 2008-11-03 2011-09-13 Baker Hughes Incorporated Methods and apparatuses for estimating drill bit cutting effectiveness
US8082104B2 (en) * 2009-01-23 2011-12-20 Varel International Ind., L.P. Method to determine rock properties from drilling logs
US8028764B2 (en) * 2009-02-24 2011-10-04 Baker Hughes Incorporated Methods and apparatuses for estimating drill bit condition
AU2010217782C1 (en) * 2009-02-27 2018-11-08 Epiroc Drilling Tools Llc Drill bit for earth boring
US8498853B2 (en) * 2009-07-20 2013-07-30 Exxonmobil Upstream Research Company Petrophysical method for predicting plastic mechanical properties in rock formations
US11157883B2 (en) * 2009-09-29 2021-10-26 The Boeing Company Step analysis process steps within a fleet performance optimization tool
CN101789190B (en) * 2009-11-03 2011-08-17 成都盛特石油装备模拟技术开发有限公司 Distributed well drilling simulation system
CN101702273B (en) * 2009-11-10 2011-08-17 成都盛特石油装备模拟技术开发有限公司 Portable drilling simulation system
US20110108325A1 (en) * 2009-11-11 2011-05-12 Baker Hughes Incorporated Integrating Multiple Data Sources for Drilling Applications
BR112012016547A2 (en) * 2010-01-05 2016-04-19 Halliburton Energy Services Inc drill and reamer interaction model method and system
US8899350B2 (en) * 2010-12-16 2014-12-02 Caterpillar Inc. Method and apparatus for detection of drill bit wear
US20120272174A1 (en) * 2011-04-21 2012-10-25 National Oilwell Varco, L.P. System and method for drilling a borehole using streaming reference data
WO2012148965A2 (en) 2011-04-25 2012-11-01 Newtech Drilling Products, Llc Drill bit for boring earth and other hard materials
US9222350B2 (en) 2011-06-21 2015-12-29 Diamond Innovations, Inc. Cutter tool insert having sensing device
US9593567B2 (en) 2011-12-01 2017-03-14 National Oilwell Varco, L.P. Automated drilling system
US9359881B2 (en) 2011-12-08 2016-06-07 Marathon Oil Company Processes and systems for drilling a borehole
US9297205B2 (en) 2011-12-22 2016-03-29 Hunt Advanced Drilling Technologies, LLC System and method for controlling a drilling path based on drift estimates
US11085283B2 (en) * 2011-12-22 2021-08-10 Motive Drilling Technologies, Inc. System and method for surface steerable drilling using tactical tracking
US8210283B1 (en) 2011-12-22 2012-07-03 Hunt Energy Enterprises, L.L.C. System and method for surface steerable drilling
US8596385B2 (en) 2011-12-22 2013-12-03 Hunt Advanced Drilling Technologies, L.L.C. System and method for determining incremental progression between survey points while drilling
US9169697B2 (en) 2012-03-27 2015-10-27 Baker Hughes Incorporated Identification emitters for determining mill life of a downhole tool and methods of using same
US9465140B2 (en) 2012-06-22 2016-10-11 Exxonmobil Upstream Research Company Petrophysical method for predicting shear strength anisotropy in fine-grained rock formations
US20150300092A1 (en) * 2012-08-20 2015-10-22 Halliburton Energy Services, Inc. Slow Drilling Assembly and Method
US9411071B2 (en) 2012-08-31 2016-08-09 Exxonmobil Upstream Research Company Method of estimating rock mechanical properties
US9022140B2 (en) 2012-10-31 2015-05-05 Resource Energy Solutions Inc. Methods and systems for improved drilling operations using real-time and historical drilling data
US10048403B2 (en) 2013-06-20 2018-08-14 Exxonmobil Upstream Research Company Method and system for generation of upscaled mechanical stratigraphy from petrophysical measurements
US8996396B2 (en) * 2013-06-26 2015-03-31 Hunt Advanced Drilling Technologies, LLC System and method for defining a drilling path based on cost
US10094210B2 (en) 2013-10-01 2018-10-09 Rocsol Technologies Inc. Drilling system
WO2015051027A1 (en) * 2013-10-01 2015-04-09 Geir Hareland Drilling system
WO2015053876A1 (en) 2013-10-08 2015-04-16 Exxonmobil Upstream Research Company Automatic dip picking from wellbore azimuthal image logs
CA2926786C (en) 2013-11-08 2019-11-26 Halliburton Energy Services, Inc. Dynamic wear prediction for fixed cutter drill bits
GB2537541A (en) * 2014-02-07 2016-10-19 Halliburton Energy Services Inc Model for estimating drilling tool wear
US9957781B2 (en) 2014-03-31 2018-05-01 Hitachi, Ltd. Oil and gas rig data aggregation and modeling system
US11106185B2 (en) 2014-06-25 2021-08-31 Motive Drilling Technologies, Inc. System and method for surface steerable drilling to provide formation mechanical analysis
CN106661926B (en) 2014-08-26 2019-03-29 哈利伯顿能源服务公司 Interaction between downhole well tool and rock stratum based on shape modeling
US10280731B2 (en) 2014-12-03 2019-05-07 Baker Hughes, A Ge Company, Llc Energy industry operation characterization and/or optimization
CN104851352B (en) * 2015-01-22 2017-12-26 中国石油技术开发公司 A kind of PLC control system of rig installation simulation system
CN104766522B (en) * 2015-01-22 2017-12-26 中国石油技术开发公司 A kind of accident analogy method of drilling simulation equipment
CN104766523B (en) * 2015-01-22 2017-12-26 中国石油技术开发公司 A kind of method for being used to simulate the raising lowering operation of land rig derrick and base
EP3059385A1 (en) * 2015-02-23 2016-08-24 Geoservices Equipements Systems and methods for determining and/or using estimate of drilling efficiency
US10280729B2 (en) * 2015-04-24 2019-05-07 Baker Hughes, A Ge Company, Llc Energy industry operation prediction and analysis based on downhole conditions
GB2554264A (en) 2015-06-18 2018-03-28 Halliburton Energy Services Inc Drill bit cutter having shaped cutting element
US10963600B2 (en) * 2015-07-09 2021-03-30 Conocophillips Company Rock strength and in-situ stresses from drilling response
AU2015402206A1 (en) * 2015-07-13 2017-12-21 Landmark Graphics Corporation Underbalanced drilling through formations with varying lithologies
US10135779B2 (en) * 2016-03-18 2018-11-20 Adobe Systems Incorporated Levels of competency in an online community
US11933158B2 (en) 2016-09-02 2024-03-19 Motive Drilling Technologies, Inc. System and method for mag ranging drilling control
US10605054B2 (en) 2017-02-15 2020-03-31 General Electric Co. System and method for generating a schedule to extract a resource from a reservoir
US11761320B2 (en) 2017-05-15 2023-09-19 Landmark Graphics Corporation Method and system to drill a wellbore and identify drill bit failure by deconvoluting sensor data
US10794150B2 (en) * 2017-06-16 2020-10-06 Forum Us, Inc. Predicting and optimizing drilling equipment operating life using condition based maintenance
US10968730B2 (en) * 2017-07-25 2021-04-06 Exxonmobil Upstream Research Company Method of optimizing drilling ramp-up
WO2019036122A1 (en) 2017-08-14 2019-02-21 Exxonmobil Upstream Research Company Methods of drilling a wellbore within a subsurface region and drilling control systems that perform the methods
US20190138970A1 (en) * 2017-11-07 2019-05-09 General Electric Company Contextual digital twin
WO2019147689A1 (en) 2018-01-23 2019-08-01 Baker Hughes, A Ge Company, Llc Methods of evaluating drilling performance, methods of improving drilling performance, and related systems for drilling using such methods
WO2019183412A1 (en) 2018-03-21 2019-09-26 Massachusetts Institute Of Technology Systems and methods for detecting seismo-electromagnetic conversion
WO2019217653A1 (en) 2018-05-09 2019-11-14 Massachusetts Institute Of Technology Systems and methods for focused blind deconvolution
US10845354B2 (en) 2018-05-21 2020-11-24 Newpark Drilling Fluids Llc System for simulating in situ downhole drilling conditions and testing of core samples
RU2703359C1 (en) * 2018-12-13 2019-10-16 Общество с ограниченной ответственностью (ООО) "ЛУКОЙЛ-ПЕРМЬ" Engineering simulator of well production and transportation process
US10808517B2 (en) 2018-12-17 2020-10-20 Baker Hughes Holdings Llc Earth-boring systems and methods for controlling earth-boring systems
WO2020247010A1 (en) * 2019-06-06 2020-12-10 Massachusetts Institute Of Technology Sequential estimation while drilling
WO2021002830A1 (en) * 2019-06-30 2021-01-07 Halliburton Energy Services, Inc. Integrated collar sensor for measuring performance characteristics of a drill motor
NO20211056A1 (en) 2019-06-30 2021-09-03 Halliburton Energy Services Inc Integrated collar sensor for measuring mechanical impedance of the downhole tool
NO20211057A1 (en) 2019-06-30 2021-09-03 Halliburton Energy Services Inc Integrated collar sensor for measuring health of a downhole tool
WO2021002827A1 (en) 2019-06-30 2021-01-07 Halliburton Energy Services, Inc. Integrated collar sensor for a downhole tool
SE544076C2 (en) * 2019-07-05 2021-12-14 Epiroc Rock Drills Ab Method and system for estimating wear of a drill bit
CN110851991B (en) * 2019-11-18 2023-07-14 核工业二〇八大队 Underground water flow numerical simulation method
CN110821459A (en) * 2019-11-19 2020-02-21 西南石油大学 Simple high-temperature-resistant high-pressure-resistant visual seam hole physical model
CN112922589B (en) * 2021-02-03 2023-08-22 中国石油天然气股份有限公司 Pinch-out line determining method, pinch-out line determining device, terminal and storage medium
CN113009592B (en) * 2021-03-03 2022-02-25 中国石油大学(北京) Evaluation method and correction method for conglomerate stratum rock abrasiveness parameters
US11753926B2 (en) * 2021-07-01 2023-09-12 Saudi Arabian Oil Company Method and system for predicting caliper log data for descaled wells
CN114233268B (en) * 2021-11-30 2023-05-26 中国地质大学(武汉) Tunnel excavation water inflow prediction method based on horizontal directional drilling investigation hole

Family Cites Families (123)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US126802A (en) * 1872-05-14 Improvement in bolt-threading machines
US536570A (en) * 1895-03-26 Raisin-seeder
US530836A (en) * 1894-12-11 Friedrich adolf gottsch
US1209299A (en) 1914-12-30 1916-12-19 Sharp Hughes Tool Company Rotary boring-drill.
US1263802A (en) 1917-08-13 1918-04-23 Clarence Edw Reed Boring-drill.
US1394769A (en) 1920-05-18 1921-10-25 C E Reed Drill-head for oil-wells
US1485642A (en) 1922-04-11 1924-03-04 Diamond Drill Contracting Comp Expanding rotary reamer
US3593807A (en) 1969-12-11 1971-07-20 Frank J Klima Drilling apparatus
US3660649A (en) 1970-09-28 1972-05-02 Tenneco Oil Co Apparatus and method for computing drilling costs
US3742966A (en) * 1971-03-10 1973-07-03 E Franzen Collapsible shelter for mounting on a transportation vehicle
US3752966A (en) * 1971-05-28 1973-08-14 Santa Fe Int Corp Drill bit utilization optimizer
US3761701A (en) 1971-07-14 1973-09-25 Amoco Prod Co Drilling cost indicator
US4354233A (en) 1972-05-03 1982-10-12 Zhukovsky Alexei A Rotary drill automatic control system
IT1021726B (en) 1973-10-09 1978-02-20 Tampella Oy Ab DRILLING SYSTEM FOR ROCK DRILLS AND DRILLING MACHINES FOR THE REALIZATION OF THIS SYSTEM
US4056153A (en) 1975-05-29 1977-11-01 Dresser Industries, Inc. Rotary rock bit with multiple row coverage for very hard formations
GB1515092A (en) 1976-02-25 1978-06-21 Schlumberger Ltd Shaly sand evaluation by gamma ray spectrometry
US4064749A (en) * 1976-11-11 1977-12-27 Texaco Inc. Method and system for determining formation porosity
US4195699A (en) 1978-06-29 1980-04-01 United States Steel Corporation Drilling optimization searching and control method
SU1055863A1 (en) 1978-09-06 1983-11-23 Предприятие П/Я М-5973 Method and apparatus for controlling a drilling unit
AU554337B2 (en) 1981-03-11 1986-08-14 Metalogic Control Ltd. Adaptive control of a dynamic system
FR2520882A1 (en) 1982-02-02 1983-08-05 Schlumberger Prospection PROCESS FOR THE PRODUCTION OF A CHARACTERISTIC REGISTRATION IN PARTICULAR OF THE FACITIES OF GEOLOGICAL FORMATIONS CROSSED BY A SURVEY
DE3207012C2 (en) 1982-02-26 1984-08-30 Valentin V. Malachovka Moskovskaja oblast' Žilikov Method for controlling the drilling process when drilling in rock and device for carrying out the method
US4718011A (en) 1982-11-01 1988-01-05 Western Atlas International, Inc. Well logging data acquisition, telemetry and control method and system
US4903527A (en) 1984-01-26 1990-02-27 Schlumberger Technology Corp. Quantitative clay typing and lithological evaluation of subsurface formations
GB8411361D0 (en) * 1984-05-03 1984-06-06 Schlumberger Cambridge Researc Assessment of drilling conditions
US4694686A (en) * 1984-06-18 1987-09-22 Borg-Warner Corporation Cutting tool wear monitor
US4627276A (en) * 1984-12-27 1986-12-09 Schlumberger Technology Corporation Method for measuring bit wear during drilling
US4794534A (en) 1985-08-08 1988-12-27 Amoco Corporation Method of drilling a well utilizing predictive simulation with real time data
US4617825A (en) 1985-09-12 1986-10-21 Halliburton Company Well logging analysis methods for use in complex lithology reservoirs
US4733733A (en) 1986-02-11 1988-03-29 Nl Industries, Inc. Method of controlling the direction of a drill bit in a borehole
GB2188354B (en) * 1986-03-27 1989-11-22 Shell Int Research Rotary drill bit
US4793421A (en) 1986-04-08 1988-12-27 Becor Western Inc. Programmed automatic drill control
US4758956A (en) 1986-04-25 1988-07-19 Amoco Corporation System for replacing defective portions of log data
US4981037A (en) * 1986-05-28 1991-01-01 Baroid Technology, Inc. Method for determining pore pressure and horizontal effective stress from overburden and effective vertical stresses
US4794535A (en) 1986-08-18 1988-12-27 Automated Decisions, Inc. Method for determining economic drill bit utilization
US4845628A (en) * 1986-08-18 1989-07-04 Automated Decisions, Inc. Method for optimization of drilling costs
US4916616A (en) 1986-12-08 1990-04-10 Bp Exploration, Inc. Self-consistent log interpretation method
FR2611804B1 (en) 1987-02-27 1989-06-16 Forex Neptune Sa METHOD FOR CONTROLLING WELL DRILLING OPERATIONS
FR2620819B1 (en) * 1987-09-17 1993-06-18 Inst Francais Du Petrole METHOD OF DETERMINING THE WEAR OF A BIT DURING DRILLING
US4875530A (en) 1987-09-24 1989-10-24 Parker Technology, Inc. Automatic drilling system
US4914591A (en) * 1988-03-25 1990-04-03 Amoco Corporation Method of determining rock compressive strength
SU1654515A1 (en) 1988-03-29 1991-06-07 Специальное конструкторское бюро по долотам Производственного объединения "Куйбышевбурмаш" Roller-cutter drilling bit
US4876886A (en) * 1988-04-04 1989-10-31 Anadrill, Inc. Method for detecting drilling events from measurement while drilling sensors
GB2217012B (en) * 1988-04-05 1992-03-25 Forex Neptune Sa Method of determining drill bit wear
SU1691497A1 (en) 1988-05-30 1991-11-15 Производственное Объединение "Грознефть" Tricone boring bit
US4852399A (en) * 1988-07-13 1989-08-01 Anadrill, Inc. Method for determining drilling conditions while drilling
US5012674A (en) * 1988-10-31 1991-05-07 Amoco Corporation Method of exploration for hydrocarbons
US5042596A (en) * 1989-02-21 1991-08-27 Amoco Corporation Imbalance compensated drill bit
CA1333282C (en) 1989-02-21 1994-11-29 J. Ford Brett Imbalance compensated drill bit
US5010789A (en) 1989-02-21 1991-04-30 Amoco Corporation Method of making imbalanced compensated drill bit
US5660239A (en) 1989-08-31 1997-08-26 Union Oil Company Of California Drag analysis method
GB2241266A (en) 1990-02-27 1991-08-28 Dresser Ind Intersection solution method for drill bit design
GB9004952D0 (en) * 1990-03-06 1990-05-02 Univ Nottingham Drilling process and apparatus
US5239467A (en) 1990-05-21 1993-08-24 Amoco Corporation Method for enhancing geophysical data by nonlinear compression of the dynamic range
GB9015433D0 (en) * 1990-07-13 1990-08-29 Anadrill Int Sa Method of determining the drilling conditions associated with the drilling of a formation with a drag bit
US5216612A (en) 1990-07-16 1993-06-01 R. J. Reynolds Tobacco Company Intelligent computer integrated maintenance system and method
US5205164A (en) 1990-08-31 1993-04-27 Exxon Production Research Company Methods for determining in situ shale strengths, elastic properties, pore pressures, formation stresses, and drilling fluid parameters
FI88744C (en) 1991-04-25 1993-06-28 Tamrock Oy For the purposes of this Regulation
US5334833A (en) 1991-06-14 1994-08-02 Schlumberger Technology Corporation Sensitivity function technique for modeling nuclear tools
EP0539272B1 (en) 1991-10-21 1997-03-05 Schlumberger Limited Method and apparatus for detecting and quantifying hydrocarbon bearing laminated reservoirs on a workstation
US5369570A (en) 1991-11-14 1994-11-29 Parad; Harvey A. Method and system for continuous integrated resource management
NO930044L (en) * 1992-01-09 1993-07-12 Baker Hughes Inc PROCEDURE FOR EVALUATION OF FORMS AND DRILL CONDITIONS
US5251286A (en) 1992-03-16 1993-10-05 Texaco, Inc. Method for estimating formation permeability from wireline logs using neural networks
US5305836A (en) 1992-04-08 1994-04-26 Baroid Technology, Inc. System and method for controlling drill bit usage and well plan
US5416697A (en) 1992-07-31 1995-05-16 Chevron Research And Technology Company Method for determining rock mechanical properties using electrical log data
US5282384A (en) * 1992-10-05 1994-02-01 Baroid Technology, Inc. Method for calculating sedimentary rock pore pressure
US5474142A (en) * 1993-04-19 1995-12-12 Bowden; Bobbie J. Automatic drilling system
US5693910A (en) * 1993-04-30 1997-12-02 Arlington Industries, Inc. Easy-insertion integrally hinged C-shaped connector
US5330016A (en) 1993-05-07 1994-07-19 Barold Technology, Inc. Drill bit and other downhole tools having electro-negative surfaces and sacrificial anodes to reduce mud balling
US5442950A (en) * 1993-10-18 1995-08-22 Saudi Arabian Oil Company Method and apparatus for determining properties of reservoir rock
US5456141A (en) * 1993-11-12 1995-10-10 Ho; Hwa-Shan Method and system of trajectory prediction and control using PDC bits
US5605198A (en) 1993-12-09 1997-02-25 Baker Hughes Incorporated Stress related placement of engineered superabrasive cutting elements on rotary drag bits
US5449047A (en) * 1994-09-07 1995-09-12 Ingersoll-Rand Company Automatic control of drilling system
US5552891A (en) * 1994-10-31 1996-09-03 International Business Machines Corporation Automated mask alignment for UV projection expose system
US5845258A (en) 1995-06-16 1998-12-01 I2 Technologies, Inc. Strategy driven planning system and method of operation
US5539704A (en) 1995-06-23 1996-07-23 Western Atlas International, Inc. Bayesian sequential Gaussian simulation of lithology with non-linear data
US5704436A (en) 1996-03-25 1998-01-06 Dresser Industries, Inc. Method of regulating drilling conditions applied to a well bit
US5794720A (en) 1996-03-25 1998-08-18 Dresser Industries, Inc. Method of assaying downhole occurrences and conditions
US7032689B2 (en) 1996-03-25 2006-04-25 Halliburton Energy Services, Inc. Method and system for predicting performance of a drilling system of a given formation
US5767399A (en) 1996-03-25 1998-06-16 Dresser Industries, Inc. Method of assaying compressive strength of rock
US6109368A (en) 1996-03-25 2000-08-29 Dresser Industries, Inc. Method and system for predicting performance of a drilling system for a given formation
US6408953B1 (en) 1996-03-25 2002-06-25 Halliburton Energy Services, Inc. Method and system for predicting performance of a drilling system for a given formation
US6612382B2 (en) 1996-03-25 2003-09-02 Halliburton Energy Services, Inc. Iterative drilling simulation process for enhanced economic decision making
US5654938A (en) 1996-05-31 1997-08-05 Western Atlas International, Inc. Method for identifying alteration of earth formations using dipole acoustic logging
US5963910A (en) 1996-09-20 1999-10-05 Ulwick; Anthony W. Computer based process for strategy evaluation and optimization based on customer desired outcomes and predictive metrics
US5862513A (en) 1996-11-01 1999-01-19 Western Atlas International, Inc. Systems and methods for forward modeling of well logging tool responses
US5870690A (en) 1997-02-05 1999-02-09 Western Atlas International, Inc. Joint inversion processing method for resistivity and acoustic well log data
US5878372A (en) 1997-03-04 1999-03-02 Western Atlas International, Inc. Method for simultaneous inversion processing of well log data using a plurality of earth models
US5784333A (en) 1997-05-21 1998-07-21 Western Atlas International, Inc. Method for estimating permeability of earth formations by processing stoneley waves from an acoustic wellbore logging instrument
CA2246511A1 (en) 1997-09-04 1999-03-04 Smith International, Inc. Cutter element with non-rectilinear crest
US6026912A (en) 1998-04-02 2000-02-22 Noble Drilling Services, Inc. Method of and system for optimizing rate of penetration in drilling operations
US6155357A (en) 1997-09-23 2000-12-05 Noble Drilling Services, Inc. Method of and system for optimizing rate of penetration in drilling operations
US6044327A (en) 1997-11-13 2000-03-28 Dresser Industries, Inc. Method for quantifying the lithologic composition of formations surrounding earth boreholes
US6233498B1 (en) 1998-03-05 2001-05-15 Noble Drilling Services, Inc. Method of and system for increasing drilling efficiency
US5965810A (en) 1998-05-01 1999-10-12 Baroid Technology, Inc. Method for determining sedimentary rock pore pressure caused by effective stress unloading
US6052649A (en) 1998-05-18 2000-04-18 Dresser Industries, Inc. Method and apparatus for quantifying shale plasticity from well logs
WO2000012859A2 (en) 1998-08-31 2000-03-09 Halliburton Energy Services, Inc. Force-balanced roller-cone bits, systems, drilling methods, and design methods
EP1371811B1 (en) 1998-08-31 2011-03-30 Halliburton Energy Services, Inc. Roller cone drill bit, method of designing the same and rotary drilling system
US6169967B1 (en) 1998-09-04 2001-01-02 Dresser Industries, Inc. Cascade method and apparatus for providing engineered solutions for a well programming process
US6345673B1 (en) 1998-11-20 2002-02-12 Smith International, Inc. High offset bits with super-abrasive cutters
ATE254715T1 (en) 1999-01-13 2003-12-15 Vermeer Mfg Co AUTOMATED DRILLING PLANNING METHOD AND APPARATUS FOR HORIZONTAL DIRECTIONAL DRILLING
US6276465B1 (en) 1999-02-24 2001-08-21 Baker Hughes Incorporated Method and apparatus for determining potential for drill bit performance
GB2332227B (en) 1999-03-03 1999-11-10 Peter Richard Paul Cunningham Optimising well numbers in oil and gas fields
GB2354852B (en) 1999-10-01 2001-11-28 Schlumberger Holdings Method for updating an earth model using measurements gathered during borehole construction
US6349595B1 (en) * 1999-10-04 2002-02-26 Smith International, Inc. Method for optimizing drill bit design parameters
US6879947B1 (en) * 1999-11-03 2005-04-12 Halliburton Energy Services, Inc. Method for optimizing the bit design for a well bore
CA2340547C (en) 2000-03-13 2005-12-13 Smith International, Inc. Method for simulating drilling of roller cone bits and its application to roller cone bit design and performance
US6516293B1 (en) * 2000-03-13 2003-02-04 Smith International, Inc. Method for simulating drilling of roller cone bits and its application to roller cone bit design and performance
GB2370060B (en) 2000-03-13 2002-12-11 Smith International Method for simulating drilling of roller cone bits and its application to roller cone bit design and performance
US6785641B1 (en) * 2000-10-11 2004-08-31 Smith International, Inc. Simulating the dynamic response of a drilling tool assembly and its application to drilling tool assembly design optimization and drilling performance optimization
US6612384B1 (en) 2000-06-08 2003-09-02 Smith International, Inc. Cutting structure for roller cone drill bits
US6637527B1 (en) 2000-06-08 2003-10-28 Smith International, Inc. Cutting structure for roller cone drill bits
GB2371321B (en) 2000-06-08 2002-12-11 Smith International Cutting structure for roller cone drill bits
US6601660B1 (en) 2000-06-08 2003-08-05 Smith International, Inc. Cutting structure for roller cone drill bits
US6424919B1 (en) 2000-06-26 2002-07-23 Smith International, Inc. Method for determining preferred drill bit design parameters and drilling parameters using a trained artificial neural network, and methods for training the artificial neural network
US6530441B1 (en) 2000-06-27 2003-03-11 Smith International, Inc. Cutting element geometry for roller cone drill bit
US6527068B1 (en) 2000-08-16 2003-03-04 Smith International, Inc. Roller cone drill bit having non-axisymmetric cutting elements oriented to optimize drilling performance
GB2396428B8 (en) 2000-08-28 2005-03-19 Halliburton Energy Serv Inc Method and system for predicting performance of a drilling system for a given formation
GB2371625B (en) 2000-09-29 2003-09-10 Baker Hughes Inc Method and apparatus for prediction control in drilling dynamics using neural network
WO2002050571A2 (en) 2000-12-19 2002-06-27 Halliburton Energy Services, Inc. Processing well logging data with neural network
US7003439B2 (en) 2001-01-30 2006-02-21 Schlumberger Technology Corporation Interactive method for real-time displaying, querying and forecasting drilling event and hazard information
US7184991B1 (en) 2002-07-12 2007-02-27 Chroma Energy, Inc. Pattern recognition applied to oil exploration and production
GB0419588D0 (en) 2004-09-03 2004-10-06 Virtual Well Engineer Ltd "Design and control of oil well formation"

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US7035778B2 (en) 2006-04-25
US6374926B1 (en) 2002-04-23
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US20030187582A1 (en) 2003-10-02
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US20040059554A1 (en) 2004-03-25
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US8949098B2 (en) 2015-02-03
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US6131673A (en) 2000-10-17
CN1082128C (en) 2002-04-03
CN1214754A (en) 1999-04-21

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