CN118260901A

CN118260901A - Method and device for determining bit balling risk based on real-time logging data

Info

Publication number: CN118260901A
Application number: CN202211683751.9A
Authority: CN
Inventors: 黄凯; 赵飞; 于洋; 崔奕; 史肖燕; 丁燕
Original assignee: China National Petroleum Corp; CNPC Engineering Technology R&D Co Ltd
Current assignee: China National Petroleum Corp; CNPC Engineering Technology R&D Co Ltd
Filing date: 2022-12-27
Publication date: 2024-06-28

Abstract

The invention discloses a method and a device for determining bit balling risk based on real-time logging data. The method comprises the following steps: acquiring drilling engineering data in a specified depth range and logging engineering data meeting the composite drilling requirement according to the current borehole depth; acquiring real-time mechanical drilling rate according to the logging engineering data and a preset well depth interval threshold value; determining the mechanical specific energy and drilling efficiency at the current wellbore depth according to the mechanical drilling rate, the logging engineering data and the drilling engineering data; predicting whether the current borehole has bit balling risk according to the change conditions of the mechanical drilling speed, the mechanical specific energy and the drilling efficiency. The risk of bit balling can be timely and accurately predicted, and potential hazards are avoided.

Description

Method and device for determining bit balling risk based on real-time logging data

Technical Field

The invention relates to the technical field of oil and gas drilling engineering, in particular to a method and a device for determining bit balling risk based on real-time logging data.

Background

The emphasis of current and future energy production is gradually moving towards deep, ultra-deep and unconventional development. Along with the continuous deepening of the well depth, the drilling is more complicated when meeting the stratum, the rock compaction degree is high, the grindability is strong, the drillability is lower, the engineering difficulty is high, the drilling speed is low, the period is long, and the cost is high. The drilling efficiency is improved, and the drilling cost is reduced, so that the method has become an important subject for accelerating and enhancing the efficiency.

Polycrystalline diamond compact (Polycrystalline Diamond Compact, PDC) bits are currently the most widely used type of bit, and although PDC bits are not prone to risk of cone and tooth loss, the risk of bit balling is greater. In the drilling process, if the drill bit is unreasonable in shape selection or the configuration of key drilling parameters is not suitable, the risk of the drill bit from being balled is high. The mechanical drilling speed can obviously be reduced after the bit balling occurs, if the water hole is blocked, the pressure of the vertical pipe can be increased or fluctuated, the torque can be greatly fluctuated, and other risk conditions can be possibly caused during the drill starting, so that the bit balling risk occurrence condition can be recognized as early as possible, and the prevention and treatment measures can be favorably used, thereby improving the bit balling.

Disclosure of Invention

The inventor discovers that although in recent years, some analysis and research aiming at the formation cause of the bit balling are carried out, but the analysis method is mainly focused on the related research about the analysis of the formation cause and the mechanism of the bit balling, the current analysis method is generally based on the analysis and arrangement of the data after drilling, or the analysis and judgment are carried out based on the experience of a drilling field engineer, the reference drilling parameters are less, a method for judging the occurrence probability of the bit balling based on the analysis and calculation of the real-time data of the field logging is not formed, the occurrence risk of the bit balling cannot be timely and accurately judged, and the existing analysis method is difficult to popularize and apply in the drilling field.

The present invention has been made in view of the above problems, and it is an object of the present invention to provide a method and apparatus for determining the risk of bit balling based on real-time logging data that overcomes or at least partially solves the above problems.

The embodiment of the invention provides a method for determining bit balling risk based on real-time logging data, which comprises the following steps:

Acquiring drilling engineering data in a specified depth range and logging engineering data meeting the composite drilling requirement according to the current borehole depth;

acquiring real-time mechanical drilling speed according to the logging engineering data and a preset well depth interval threshold value;

Determining the mechanical specific energy and drilling efficiency at the current wellbore depth according to the mechanical drilling rate, the logging engineering data and the drilling engineering data;

predicting whether the current borehole has bit balling risk according to the change conditions of the mechanical drilling speed, the mechanical specific energy and the drilling efficiency.

In some alternative embodiments, the acquiring drilling engineering data and logging engineering data meeting the composite drilling requirements in a specified depth range according to the current wellbore depth comprises:

Acquiring logging engineering data and drilling engineering data in a specified depth range according to the current borehole depth;

Extracting logging engineering data meeting the composite drilling requirements according to the set composite drilling extraction rules; the compound drilling extraction rule comprises that the position of a drill bit is equal to the well depth, the rotating speed of a rotary table is greater than zero, and the weight on bit is greater than zero.

In some optional embodiments, after the acquiring logging engineering data within the specified depth range, the method further includes:

and filtering ineffective logging engineering data from the acquired logging engineering data in the specified depth range.

In some alternative embodiments, acquiring the real-time rate of penetration based on the logging engineering data and a preset well depth interval threshold comprises:

According to well depth data included in the logging engineering data, well depth variation and corresponding time variation are obtained according to the well depth interval being greater than or equal to a preset well depth interval threshold; obtaining real-time mechanical drilling speed according to the well depth variation and the corresponding time variation;

and filtering the real-time mechanical drilling speed according to a preset time interval threshold value to obtain the filtered real-time mechanical drilling speed.

In some alternative embodiments, determining the mechanical specific energy and drilling efficiency at the current wellbore depth from the rate of penetration, the logging engineering data, and the drilling engineering data comprises:

acquiring the drill bit diameter corresponding to the current borehole depth according to the corresponding relation between the borehole depth and the drill bit diameter in the drilling engineering data;

Determining a mechanical specific energy and drilling efficiency at a current wellbore depth from the bit diameter, the rate of penetration, and a rotational speed of a rotary table, weight on bit, and torque included in the logging engineering data.

In some alternative embodiments, determining the mechanical specific energy and drilling efficiency at the current wellbore depth from the bit diameter, the rate of penetration, and the rotational speed of the rotary table, weight on bit, and torque included in the logging engineering data comprises:

determining the bit area bit_area according to the bit diameter bit_r: bit_area=pi×bit_r2;

determining the depth of cut doc according to the rate of penetration rop and the rotational speed rpm of the rotary table: 16.67 determining a coefficient for the depth of cut;

Determining drilling strength ds according to the weight on bit wob, the bit diameter bit_r and the cutting depth doc:

determining the mechanical specific energy mse according to the weight on bit wob, the bit area bit_area, the mechanical drilling rate rop, the rotary table rotating speed rpm and the torque:

Determining the drilling efficiency de from the mechanical specific energy mse and the drilling strength ds:

In some alternative embodiments, predicting whether a current wellbore is at risk of bit balling based on the variation in the rate of penetration, mechanical specific energy, and drilling efficiency comprises:

if the variation trend of the mechanical drilling speed is declining, the variation trend of the mechanical specific energy is rising and the variation trend of the drilling efficiency is declining, determining that the current borehole has a bit balling risk; or (b)

And if the variation trend of the mechanical drilling speed is declining, the variation trend of the mechanical specific energy is rising, the variation trend of the drilling efficiency is declining, and the variation trend of the riser pressure is rising or no variation trend, determining that the current borehole has bit balling risk.

if the variation trend of the mechanical drilling speed is descending and the descending amplitude is larger than a preset first descending amplitude threshold, the variation trend of the mechanical specific energy is ascending and the ascending amplitude is larger than a preset first ascending amplitude threshold, and the variation trend of the drilling efficiency is descending and the descending amplitude is larger than a preset second descending amplitude threshold, determining that the current borehole has a bit balling risk; or (b)

If the variation trend of the mechanical drilling speed is descending and the descending amplitude is larger than a preset first descending amplitude threshold, the variation trend of the mechanical specific energy is ascending and the ascending amplitude is larger than a preset first ascending amplitude threshold, the variation trend of the drilling efficiency is descending and the descending amplitude is larger than a preset second descending amplitude threshold, the variation trend of the riser pressure is ascending and the ascending amplitude is larger than a preset second ascending amplitude threshold or the variation trend of the riser pressure is non-variation trend, and the current borehole is determined to have bit balling risk.

The embodiment of the invention provides a device for determining bit balling risk based on real-time logging data, which comprises the following steps:

The data acquisition module is used for acquiring drilling engineering data in a designated depth range and logging engineering data meeting the composite drilling requirement according to the current borehole depth;

The parameter determining module is used for acquiring real-time mechanical drilling speed according to the logging engineering data and a preset well depth interval threshold value; determining the mechanical specific energy and drilling efficiency at the current wellbore depth according to the mechanical drilling rate, the logging engineering data and the drilling engineering data;

and the risk determining module is used for predicting whether the current borehole has a bit balling risk according to the change conditions of the mechanical drilling speed, the mechanical specific energy and the drilling efficiency.

The embodiment of the invention provides a computer storage medium, wherein computer executable instructions are stored in the computer storage medium, and the method for determining the bit balling risk based on real-time logging data is realized when the computer executable instructions are executed by a processor.

An embodiment of the present invention provides an electronic device, including: the system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the method for determining the bit balling risk based on the real-time logging data when executing the program.

The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:

According to drilling engineering data in a designated depth range of the current borehole depth and logging engineering data meeting the compound drilling requirement, parameters such as mechanical drilling speed, mechanical specific energy, drilling efficiency and the like at the current borehole depth are determined, whether the current borehole has a bit balling risk or not is predicted based on the change conditions of the parameters.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.

The technical scheme of the invention is further described in detail through the drawings and the embodiments.

Drawings

The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:

FIG. 1 is a flow chart of a method for determining bit balling risk based on real-time logging data in accordance with a first embodiment of the present invention;

FIG. 2 is a flow chart of a method for determining bit balling risk based on real-time logging data in accordance with a second embodiment of the present invention;

FIG. 3 is a diagram showing one example of drilling parameters in accordance with a second embodiment of the present invention;

FIG. 4 is a diagram illustrating a second example of drilling parameters according to a second embodiment of the present invention;

FIG. 5 is a third exemplary diagram of drilling parameters according to a second embodiment of the present invention;

fig. 6 is a schematic structural diagram of an apparatus for determining risk of bit balling based on real-time logging data in an embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

Bit balling refers to the sticking of drill cuttings, soft mud, filter cakes to some or all areas around the bit, so that the sticking objects fill the cone gap of the cone bit or are embedded in the tooth gap, or some of the sticking objects block the nozzle water hole or chip removal return grooves, so that the bit can be fully wrapped even if further development is carried out. After the drill bit is subjected to balling in the drilling process, the working condition of the drill bit is deteriorated, the jolt is easy to generate after balling, the drilling pressure applying difficulty is increased, and the tooth breakage or the bearing pin damage of the roller bit is easy to cause; the anti-rotation balance of the PDC drill bit can be broken, the early damage of the cutting composite sheet of the PDC drill bit is easy to cause, and the collapse and the detachment damage of the PDC drill bit composite sheet can be even caused, so that a certain potential hazard is formed for the PDC drill bit which enters the well subsequently.

In order to solve the problem that the risk of the occurrence of the bit balling cannot be timely and accurately predicted in the prior art, the embodiment of the invention provides a bit balling risk prediction method based on real-time logging data.

Example 1

The first embodiment of the invention provides a method for determining the risk of bit balling based on real-time logging data, wherein the flow is shown in fig. 1, and the method comprises the following steps:

Step S101: and acquiring drilling engineering data in a specified depth range and logging engineering data meeting the composite drilling requirement according to the current borehole depth.

Acquiring logging engineering data and drilling engineering data in a specified depth range according to the current borehole depth; extracting logging engineering data meeting the composite drilling requirements according to the set composite drilling extraction rules; the composite drilling extraction rule comprises that the position of a drill bit is equal to the well depth, the rotating speed of a rotary table is greater than zero, and the weight on bit is greater than zero.

And collecting real-time logging engineering data in a specified range of the deepest well depth, such as the nearest 5 meters, according to the well depth of the current well. For example, if the current well depth is 4000 meters, well logging engineering data of 3995-4000 meters are collected. Logging engineering data may include: time (accurate to seconds), torque, carousel rotational speed, hook height, weight on bit, well depth, bit position, inlet flow, outlet flow, time of mechanical drilling, rate of mechanical drilling, riser pressure, and the like.

In the drilling engineering data, drill bit diameter data of different depths of a well are mainly obtained according to the corresponding relation between the depths of the well and the diameters of the drill bit.

Optionally, after acquiring the logging engineering data in the specified depth range, the method further includes: and filtering ineffective logging engineering data from the acquired logging engineering data in the specified depth range. For example, some logging data is invalid, it may be filtered out, e.g., some data is always zero or some data is empty may be considered invalid data.

By confirming the validity of logging engineering data and filtering the logging engineering data in accordance with the compound drilling requirements, the obtained data can be more optimized, and the subsequent prediction is more accurate.

Step S102: and acquiring the real-time mechanical drilling speed according to the logging engineering data and a preset well depth interval threshold value.

According to well depth data included in logging engineering data, obtaining well depth variation and corresponding time variation according to the well depth interval being greater than or equal to a preset well depth interval threshold; obtaining real-time mechanical drilling speed according to the well depth variation and the corresponding time variation;

and filtering the real-time mechanical drilling speed according to a preset time interval threshold value to obtain the filtered real-time mechanical drilling speed. Filtering the real-time rate of penetration typically filters out data for which the time interval is not satisfactory.

The well depth interval threshold can be set according to the requirement, for example, the well depth interval threshold can be set to be 0.1 meter or other values, and the real-time mechanical drilling rate is calculated according to the extracted logging engineering data meeting the composite drilling requirement and the well depth interval is greater than or equal to 0.1 meter. Wherein, the rate of penetration rop can be calculated by the following formula: rop=Δdepth/Δtime; delta depth is the well depth variation and delta time is the time variation. For example, at 4000 meters deep, 500 seconds are required to drill from 4000 meters to 4000.1 meters, then rop=0.1/500. When the data is filtered, the time interval threshold liquid can be set according to the requirement, for example, 300 seconds, and the filtering is carried out according to the calculated time interval of each piece of data, namely, the time interval of two adjacent mechanical drilling speeds, so that abnormal data with the time interval smaller than 300 seconds are filtered.

Step S103: the mechanical specific energy and drilling efficiency at the current wellbore depth are determined based on the rate of penetration, the logging engineering data, and the drilling engineering data.

Acquiring the bit diameter corresponding to the current borehole depth according to the corresponding relation between the well depth and the bit diameter in the drilling engineering data; the mechanical specific energy and drilling efficiency at the current wellbore depth are determined from the bit diameter, rate of penetration and rotational speed of the rotary table, weight on bit and torque included in the logging engineering data. The method can be obtained specifically by the following steps:

Determining the bit area bit_area according to the bit diameter bit_r: bit_area=pi_bit_r ²;

The unit of each parameter may be selected as required, for example, the unit diameter bit_r of the drill bit is mm, the unit rate rop of the mechanical drilling is m/hr, the unit rotational speed rpm of the rotary table is r/min, the unit weight wob is kN, the unit torque is kn.m, etc., which are not exemplified herein.

Step S104: predicting whether the current borehole has bit balling risk according to the change conditions of the mechanical drilling speed, the mechanical specific energy and the drilling efficiency.

In the step, a Mann-Kendall trend test method can be used for testing the change condition, such as the change trend and/or the change amplitude, of the drilling parameters selected in the range of 5 meters at the deepest experience, judging whether the current borehole has the risk of bit balling according to the change condition, and the used drilling parameters can be adjusted according to the requirement.

In some alternative embodiments, the prediction can be performed according to the change conditions of the mechanical drilling speed, the mechanical specific energy and the drilling efficiency, and if the change trend of the mechanical drilling speed is descending, the change trend of the mechanical specific energy is ascending and the change trend of the drilling efficiency is descending, the current borehole is determined to have bit balling risk;

Preferably, if the variation trend of the mechanical drilling speed is decreasing and the decreasing amplitude is greater than a preset first decreasing amplitude threshold, the variation trend of the mechanical specific energy is increasing and the increasing amplitude is greater than a preset first increasing amplitude threshold, and the variation trend of the drilling efficiency is decreasing and the decreasing amplitude is greater than a preset second decreasing amplitude threshold, determining that the current borehole has a bit balling risk;

In some alternative embodiments, predictions may be made based on the rate of penetration, specific mechanical energy, and drilling efficiency, and if the rate of penetration is decreasing, the specific mechanical energy is increasing, the drilling efficiency is decreasing, the riser pressure is increasing, or there is no change, the current borehole is determined to be at risk of bit balling.

Preferably, if the variation trend of the mechanical drilling speed is decreasing and the decrease amplitude is greater than the preset first decrease amplitude threshold, the variation trend of the mechanical specific energy is increasing and the increase amplitude is greater than the preset first increase amplitude threshold, the variation trend of the drilling efficiency is decreasing and the decrease amplitude is greater than the preset second decrease amplitude threshold, the variation trend of the riser pressure is increasing and the increase amplitude is greater than the preset second increase amplitude threshold, or the variation trend of the riser pressure is no variation trend, determining that the current borehole has the risk of bit balling.

The bit balling risk index can be given according to the change trend of each parameter and displayed on a software interface to prompt a user.

In the method of the embodiment, the actual requirements of field application are met, the real-time logging data of the current borehole are adopted, the bit balling risk prediction index model is established in real time through a modeling method, the change trend of the parameters for bit balling risk prediction is calculated based on the real-time data, and the bit balling risk occurrence probability is judged, so that the possibility of judging the bit balling risk in real time according to the characteristics and the change rule of drilling engineering is realized, and a field engineer is prompted to take precautionary measures in advance.

The method can adopt a Mancoldel trend test method, can obtain an ideal prediction result without the need of inputting data to follow certain distribution, has small disturbance degree of abnormal values, and is suitable for identifying logging engineering data with obvious change or larger floating; the method comprehensively considers key logging engineering data such as the mechanical drilling speed, the rotating speed of the rotary table, the torque, the drilling pressure, the vertical pipe pressure and the like, and predicts the possibility of occurrence of the bit balling risk more accurately.

Example two

The second embodiment of the invention provides a specific implementation process of a method for determining a bit balling risk based on real-time logging data, wherein the flow is shown in fig. 2, and the method comprises the following steps:

Step S201: and acquiring logging engineering data and drilling engineering data in a specified depth range according to the current borehole depth.

When logging engineering data is acquired, some data in a larger range can be acquired firstly, for example, 5000-6000 m real-time logging engineering data is acquired, and then data in a required range, for example 5995-6000 m data, is acquired according to prediction requirements.

Step S202: and filtering ineffective logging engineering data from the acquired logging engineering data in the specified depth range.

Step S203: and extracting logging engineering data meeting the composite drilling requirements according to the set composite drilling extraction rules.

An example of extracting logging engineering data meeting the composite drilling requirements may be as shown in table 1 below.

TABLE 1

Data generation time (createtime), hook load (weight on hook), riser pressure (spp), torque (torque), rotary table rotational speed (rpm), hook height (block height), weight on bit (wob), bit position (bitposn), well depth (depth), inlet flow (flow_in), outlet flow (flow_out), time interval (timediff), well depth interval (depthdiff), rate of penetration (rop), and the like are included in table 1.

Step S204: and determining the real-time mechanical drilling speed according to the logging engineering data and a preset well depth interval threshold value.

Step S205: and filtering the real-time mechanical drilling speed according to a preset time interval threshold value to obtain the filtered real-time mechanical drilling speed.

Step S206: the mechanical specific energy and drilling efficiency at the current wellbore depth are determined based on the rate of penetration, the logging engineering data, and the drilling engineering data.

According to the acquired real-time logging engineering data, carrying 5 meters each time according to each meter cycle, calculating drilling parameters for predicting the risk of bit balling, for example, calculating mechanical drilling rate rop, cutting depth doc, drilling intensity ds in the range of 5000-5200 meters, then obtaining data such as mechanical specific energy mse, drilling efficiency de and the like, drawing the drilling parameters into curves, reflecting the change conditions of the drilling parameters,

Referring to the example graph of drilling parameter curves shown in fig. 3, the change situation of each drilling parameter in the range of 5000-5200 meters of a well depth of a well is shown, including parameters such as drilling efficiency de, cutting depth doc, drilling strength ds, mechanical specific energy mse, mechanical drilling rate rop and the like, the horizontal axis represents the well depth, the vertical axis represents corresponding parameter values, and the drilling parameter curves for risk prediction of bit balling are included.

Referring to the example graph of drilling parameter curves shown in fig. 4, the change situation of each drilling parameter in the range of 5000-5200 meters of a well depth of a well is shown, including parameters such as drilling efficiency de, cutting depth doc, drilling strength ds, mechanical specific energy mse, mechanical drilling rate rop and the like, the horizontal axis represents the well depth, the vertical axis represents corresponding parameter values, and the drilling parameter curves for risk prediction of bit balling are included.

Referring to the exemplary graph of drilling parameters shown in fig. 5, the variation of drilling parameters in the range of 5180-5200 meters of well depth of a borehole is illustrated, including drilling efficiency de, depth of cut doc, drilling strength ds, mechanical specific energy mse, rate of penetration rop, riser pressure spp, and the like, the horizontal axis represents well depth, and the vertical axis represents corresponding parameter values, including drilling parameter curves for bit balling risk prediction.

Step S207: predicting whether the current borehole has bit balling risk according to the change conditions of the mechanical drilling speed, the mechanical specific energy and the drilling efficiency.

As can be seen from fig. 5, at 5188 meters, the mechanical drilling rate (rop) trend is decreasing, the mechanical specific energy (mse) trend is increasing, the drilling efficiency (de) trend is decreasing, the riser pressure (spp) trend is unchanged, and there is a high possibility that the risk of bit balling occurs, and further parameter adjustment processing is required. And the bit balling risk index can be given according to the judging result and displayed on a software interface so as to prompt a user.

Based on the same inventive concept, the embodiment of the invention further provides a device for determining the risk of bit balling based on real-time logging data, which can be arranged in an electronic device with a calculation processing function, and the structure of the device is shown in fig. 6, and the device comprises:

the data acquisition module 11 is used for acquiring drilling engineering data in a designated depth range and logging engineering data meeting the composite drilling requirement according to the current borehole depth;

the parameter determining module 12 is used for acquiring real-time mechanical drilling speed according to logging engineering data and a preset well depth interval threshold value; determining the mechanical specific energy and the drilling efficiency at the current borehole depth according to the mechanical drilling speed, the logging engineering data and the drilling engineering data;

The risk determination module 13 is used for predicting whether the current borehole has a bit balling risk according to the change conditions of the mechanical drilling speed, the mechanical specific energy and the drilling efficiency.

The embodiment of the invention also provides a computer storage medium, wherein the computer storage medium is stored with computer executable instructions, and the method for determining the bit balling risk based on the real-time logging data is realized when the computer executable instructions are executed by a processor.

The embodiment of the invention also provides electronic equipment, which comprises: the method for determining the bit balling risk based on the real-time logging data comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor realizes the method for determining the bit balling risk based on the real-time logging data when executing the program.

The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.

Unless specifically stated otherwise, terms such as processing, computing, calculating, determining, displaying, or the like, may refer to an action and/or process of one or more processing or computing systems, or similar devices, that manipulates and transforms data represented as physical (e.g., electronic) quantities within the processing system's registers or memories into other data similarly represented as physical quantities within the processing system's memories, registers or other such information storage, transmission or display devices. Information and signals may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits, symbols, and chips that may be referenced throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.

It should be understood that the specific order or hierarchy of steps in the processes disclosed are examples of exemplary approaches. Based on design preferences, it is understood that the specific order or hierarchy of steps in the processes may be rearranged without departing from the scope of the present disclosure. The accompanying method claims present elements of the various steps in a sample order, and are not meant to be limited to the specific order or hierarchy.

In the foregoing detailed description, various features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments of the subject matter require more features than are expressly recited in each claim. Rather, as the following claims reflect, invention lies in less than all features of a single disclosed embodiment. Thus the following claims are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate preferred embodiment of this invention.

Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.

The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. The processor and the storage medium may reside as discrete components in a user terminal.

For a software implementation, the techniques described in this disclosure may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions of the present application. These software codes may be stored in memory units and executed by processors. The memory unit may be implemented within the processor or external to the processor, in which case it can be communicatively coupled to the processor via various means as is known in the art.

The foregoing description includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, as used in the specification or claims, the term "comprising" is intended to be inclusive in a manner similar to the term "comprising," as interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean "non-exclusive or".

Claims

1. A method of determining bit balling risk based on real-time logging data, comprising:

2. The method of claim 1, wherein the obtaining drilling engineering data and logging engineering data meeting the composite drilling requirements in a specified depth range based on the current wellbore depth comprises:

3. The method of claim 2, wherein after the acquiring logging project data within the specified depth range, further comprising:

4. The method of claim 1, wherein obtaining a real-time rate of penetration based on the logging engineering data and a preset well depth interval threshold comprises:

5. The method of claim 1, wherein determining the mechanical specific energy and drilling efficiency at the current wellbore depth from the rate of penetration, the logging engineering data, and drilling engineering data comprises:

6. The method of claim 5, wherein determining the mechanical specific energy and drilling efficiency at the current wellbore depth from the bit diameter, the rate of penetration, and the rotational speed of the rotary table, weight on bit, and torque included in the logging engineering data comprises:

7. The method of any of claims 1-6, wherein predicting whether a current wellbore is at risk of bit balling based on the variation in the rate of penetration, mechanical specific energy, and drilling efficiency comprises:

8. The method of any of claims 1-6, wherein predicting whether a current wellbore is at risk of bit balling based on the variation in the rate of penetration, mechanical specific energy, and drilling efficiency comprises:

9. An apparatus for determining bit balling risk based on real-time logging data, comprising:

10. A computer storage medium having stored therein computer executable instructions which when executed by a processor implement the method of determining bit balling risk based on real time logging data of any of claims 1-8.

11. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, which when executed implements the method of determining bit balling risk based on real-time logging data as in any of claims 1-8.