Well wall stability and plastic zone integrated detection method

Abstract

The invention provides a borehole wall stability and plastic zone integrated detection method, which comprises the following steps: acquiring a first group of underground measurement data and a second group of underground measurement data, the first group of underground measurement data is obtained by using a first type of underground measurement equipment, and the second group of underground measurement data is obtained by using a second type of underground measurement equipment; the second set of downhole measurement data is obtained using a second type of downhole measurement device; establishing a first well wall stability mathematical model according to the first group of underground measurement data; establishing a second well wall stability mathematical model according to the second group of underground measurement data; data are acquired by using two different types of underground measuring equipment, so that the data source channel is greatly widened. Compared with traditional single equipment measurement, the underground information can be collected from multiple dimensions, data in multiple aspects such as stratum stress distribution and rock mechanical properties can be covered, a richer and more comprehensive data basis is provided for subsequent analysis, and the detection reliability is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the field of downhole detection technology, and in particular to a method for integrating well wall stability and plastic zone detection. Background Art

[0002] Traditionally, the detection of wellbore stability often relies on a single type of downhole measurement equipment to obtain data, and based on this, a simple mathematical model is constructed for evaluation. However, this method has significant limitations. Since the downhole information reflected by the data measured by a single device is relatively one-sided and cannot fully cover the various complex factors affecting the wellbore stability, the constructed stability mathematical model is inaccurate and it is difficult to accurately determine the actual stability of the wellbore.

[0003] At the same time, in terms of analyzing the plastic zone of the wellbore, previous technologies lacked effective integration with wellbore stability detection. Usually, the two are studied separately as independent issues, and the inherent relationship between wellbore stability and plastic zone is not fully considered, which makes the assessment of the overall condition of the wellbore lack of systematicness and integrity. This is not only not conducive to timely detection of potential wellbore instability risks, but may also lead to serious problems such as wellbore collapse and wellbore deformation during mining due to misjudgment of the plastic zone, thereby increasing mining costs, reducing mining efficiency, and even threatening the safety of workers and the stability of the surrounding environment.

[0004] Therefore, an integrated detection method of wellbore stability and plastic zone is proposed. Summary of the invention

[0005] In view of this, an embodiment of the present invention hopes to provide a method for integrated detection of wellbore stability and plastic zone to solve or alleviate the technical problems existing in the prior art and at least provide a beneficial option.

[0006] In order to solve the above technical problems, a technical solution adopted in the present application is: to provide an integrated detection method for wellbore stability and plastic zone, comprising the following steps: obtaining a first set of downhole measurement data and a second set of downhole measurement data, wherein the first set of downhole measurement data is obtained using a first type of downhole measurement equipment, and the second set of downhole measurement data is obtained using a second type of downhole measurement equipment; establishing a first wellbore stability mathematical model based on the first set of downhole measurement data; establishing a second wellbore stability mathematical model based on the second set of downhole measurement data; comparing the first wellbore stability mathematical model and the second wellbore stability mathematical model to obtain a wellbore stability mathematical model; determining whether the wellbore is in a stable state and analyzing the wellbore plastic zone condition based on the wellbore stability mathematical model.

[0007] As a further preference of this technical solution: Comparing the first wellbore stability mathematical model and the second wellbore stability mathematical model to obtain an oil well wellbore stability mathematical model includes: determining whether there is similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the similarity judgment condition; if there is no similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model, then combining the first wellbore stability mathematical model and the second wellbore stability mathematical model to obtain the oil well wellbore stability mathematical model.

[0008] As a further preference of this technical solution: The determining whether there is similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the similarity judgment condition includes: respectively extracting the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model; determining whether there is similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model.

[0009] As a further preference of this technical solution: The determining whether there is similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model includes: determining whether there is an overlapping part between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model according to the feature matching algorithm, and determining whether there is similarity according to the result.

[0010] As a further preference of this technical solution: determining whether there is similarity according to the result includes: if there is no overlapping part between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model, it is determined that there is no similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model; if there is an overlapping part between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model, then further according to the similarity threshold, it is determined whether the similarity between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model is greater than or equal to the similarity threshold; if the similarity between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model is less than the similarity threshold, it is determined that there is no similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model; if the similarity between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model is greater than or equal to the similarity threshold, it is determined that there is similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model.

[0011] As a further preference of this technical solution: merging the first wellbore stability mathematical model and the second wellbore stability mathematical model to obtain the oil well wellbore stability mathematical model includes: determining the weights between the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the fusion strategy; merging the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the weights between the first wellbore stability mathematical model and the second wellbore stability mathematical model to obtain the oil well wellbore stability mathematical model.

[0012] As a further preference of this technical solution: determining the weights between the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the fusion strategy includes: determining the importance score of the first wellbore stability mathematical model according to the first importance evaluation criterion; determining the importance score of the second wellbore stability mathematical model according to the second importance evaluation criterion; determining the weights between the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the importance score of the first wellbore stability mathematical model and the importance score of the second wellbore stability mathematical model.

[0013] To solve the above technical problems, another technical solution adopted by this application is: an integrated detection device for wellbore stability and plastic zone, including: a data acquisition module: used to acquire a first set of downhole measurement data and a second set of downhole measurement data, where the first set of downhole measurement data is obtained by a first type of downhole measurement device, and the second set of downhole measurement data is obtained by a second type of downhole measurement device; a model establishment module: connected to the data acquisition module, used to establish a first wellbore stability mathematical model according to the first set of downhole measurement data, and establish a second wellbore stability mathematical model according to the second set of downhole measurement data; a model comparison module: connected to the model establishment module, used to compare the first wellbore stability mathematical model and the second wellbore stability mathematical model to obtain an oil well wellbore stability mathematical model; a state analysis module: connected to the model comparison module, used to determine whether the oil well wellbore is in a stable state and analyze the situation of the plastic zone of the wellbore according to the oil well wellbore stability mathematical model.

[0014] To solve the above technical problems, another technical solution adopted by this application is: a computer device, the computer device includes a processor and a memory coupled to the processor, and program instructions are stored in the memory. When the program instructions are executed by the processor, the processor executes the steps of an integrated detection method for wellbore stability and plastic zone as described above.

[0015] To solve the above technical problems, another technical solution adopted by this application is: a storage medium storing program instructions capable of implementing an integrated detection method for wellbore stability and plastic zone as described above.

[0016] Due to the above technical solutions adopted in the embodiments of the present invention, it has the following advantages:

[0017] Data comprehensiveness: By using two different types of downhole measurement devices to acquire data, the data source channels are greatly broadened. Compared with traditional single-device measurement, downhole information can be collected from multiple dimensions, covering data in multiple aspects such as formation stress distribution and rock mechanical properties, providing a richer and more comprehensive data basis for subsequent analysis, and significantly improving the reliability of detection.

[0018] Model accuracy: The first wellbore stability mathematical model and the second wellbore stability mathematical model are respectively constructed based on two sets of different measurement data, and then the final oil well wellbore stability mathematical model is obtained through a rigorous comparison and fusion process. This multi-model construction and fusion method can comprehensively reflect the wellbore characteristics of different models, effectively make up for the limitations of a single model, make the final model more in line with the actual wellbore situation, and thus greatly improve the accuracy of wellbore stability assessment.

[0019] Scientific nature of similarity judgment: During the model comparison process, using similarity judgment conditions, a series of scientific steps from key feature extraction, overlapping part judgment to similarity threshold determination are carried out to accurately judge the similarity between models. This ensures that when merging models, only truly highly similar and valuable parts will be integrated, avoiding unreasonable model merging and further guaranteeing the quality of the final model.

[0020] Advantages of integrated analysis: It can, according to the final mathematical model of the stability of the oil well borehole wall, simultaneously determine whether the borehole wall is in a stable state and analyze the situation of the plastic zone of the borehole wall. It breaks the traditional mode of separately studying the two, fully considers the internal connection between the stability of the borehole wall and the plastic zone, realizes the systematic and integrated detection of the overall condition of the borehole wall, provides a more comprehensive and accurate decision-making basis for oil well exploitation, effectively reduces the exploitation risk, improves the exploitation efficiency, and reduces potential economic losses and safety hazards.

[0021] The above summary is only for the purpose of the specification and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments and features described above, further aspects, embodiments and features of the present invention will be readily apparent by reference to the drawings and the following detailed description. Brief Description of the Drawings

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0023] Figure 1 is a flowchart of the method of the present invention;

[0024] Figure 2 is a schematic diagram of the modules of the device of the present invention

[0025] Figure 3 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. Detailed Embodiments

[0026] The following will describe the embodiments of the present disclosure in detail with reference to the drawings.

[0027] It should be clear that the following uses specific specific examples to illustrate the implementation manners of the present disclosure, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the content disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all the embodiments. The present disclosure can also be implemented or applied through other different specific implementation manners, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope protected by the present disclosure.

[0028] It should be noted that the following describes various aspects of the embodiments within the scope of the appended claims. It should be obvious that the aspects described herein can be embodied in a wide variety of forms, and any specific structure and / or function described herein is illustrative only. Based on the present disclosure, those skilled in the art should understand that one aspect described herein can be implemented independently of any other aspect, and two or more of these aspects can be combined in various ways. For example, any number of aspects described herein can be used to implement the device and / or practice the method. Additionally, this device and / or method can be implemented using other structures and / or functionality in addition to one or more of the aspects described herein.

[0029] It should also be noted that the drawings provided in the following embodiments only schematically illustrate the basic concept of the present disclosure. The drawings only show the components related to the present disclosure and are not drawn according to the number, shape, and size of the components in actual implementation. The type, quantity, and ratio of each component in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0030] In addition, in the following description, specific details are provided to facilitate a thorough understanding of the examples. However, those skilled in the art will understand that the described aspects can be practiced without these specific details.

[0031] Figure 1 is a schematic flow diagram of a method for integrated detection of wellbore stability and plastic zone in an embodiment of the present invention. It should be noted that if there are substantially the same results, the method of this application is not limited to Figure 1 the flow sequence shown. As Figure 1 shown: A method for integrated detection of wellbore stability and plastic zone includes the following steps:

[0032] S100. Obtain the first set of downhole measurement data and the second set of downhole measurement data, where the first set of downhole measurement data is obtained using the first type of downhole measurement equipment, and the second set of downhole measurement data is obtained using the second type of downhole measurement equipment;

[0033] Specifically, it includes:

[0034] S110. Equipment preparation stage: Before conducting downhole measurements, it is necessary to carefully prepare two different types of downhole measurement equipment.

[0035] For the first type of downhole measurement equipment, such as equipment based on the acoustic wave measurement principle, check the working status of its acoustic wave transmitting and receiving modules to ensure that parameters such as the frequency and intensity of the transmitted acoustic waves meet the measurement requirements. At the same time, debug the signal processing circuit of the equipment to ensure that acoustic wave signals can be accurately collected and processed. In addition, it is also necessary to check the power supply system of the equipment to ensure that it can supply power stably during long-term operation downhole.

[0036] For the second type of downhole measurement equipment, equipment using the electrical logging method, check whether the electrodes are firmly connected and whether the surfaces of the electrodes are clean to ensure good electrical conductivity. Calibrate the electric field generating module and the measurement module of the equipment to ensure that the measured electrical parameters are accurate and reliable. Similarly, it is also necessary to conduct a comprehensive inspection of its power supply system.

[0037] S120. Lower the equipment into the well: Lower the two prepared downhole measurement equipment into the well through a suitable method. The drill pipe can be used to slowly send the equipment to the predetermined position downhole. During this process, pay attention to controlling the lowering speed to avoid damage to the equipment due to collision with the well wall. At the same time, monitor the status of the equipment in real time to ensure that it works properly during the downward movement.

[0038] S130. Data acquisition stage: When both pieces of equipment reach the predetermined measurement positions, start data acquisition. For the first type of downhole measurement equipment, taking the acoustic wave measurement equipment as an example, the equipment will emit acoustic wave signals at preset time intervals. These acoustic wave signals propagate in the downhole formation and will be reflected and refracted when encountering different geological interfaces. The receiving module of the equipment will receive the reflected acoustic wave signals and record parameters such as the propagation time and amplitude of the acoustic waves. These original acoustic wave data will be transmitted to the ground control center in real time. For the second type of downhole measurement equipment, such as electrical logging equipment, a stable electric field will be applied to the formation. By measuring electrical parameters such as current and voltage at different positions, information such as the resistivity and dielectric constant of the formation can be obtained. These electrical data will also be uploaded to the ground in a timely manner.

[0039] S140, Data transmission and preliminary processing: After the ground control center receives the data, it first performs an integrity check on the data to ensure that no data is lost. For acoustic measurement data, a digital filter is used to remove high-frequency noise and low-frequency interference signals. Then, based on the propagation characteristics of acoustic waves in different media, the rock mechanical properties and porosity and other parameters of the formation are calculated through algorithms. For electrical measurement data, the measured current and voltage values ​​are calibrated to eliminate measurement errors. Using the established formation electrical model, the calibrated electrical parameters are converted into information such as fluid saturation and lithology of the formation. After preliminary processing, the first set of downhole measurement data and the second set of downhole measurement data are stored in the database to provide data support for subsequent integrated detection of wellbore stability and plastic zone.

[0040] S200, establishing a first wellbore stability mathematical model according to the first group of downhole measurement data;

[0041] Data preprocessing: The first set of downhole measurement data may contain noise, outliers, and missing data due to the complex downhole environment. Therefore, the data needs to be preprocessed.

[0042] Data cleaning: Use specific algorithms and methods to identify and process noise data. For outliers, find them by setting reasonable judgment criteria, and then correct or directly eliminate them according to the specific situation. For missing data, use appropriate interpolation methods to supplement them to make the data more complete.

[0043] Data normalization: Different measurement parameters have different dimensions and value ranges, which will affect subsequent modeling. Therefore, data normalization is required to unify the data into a suitable range to eliminate the impact of dimensional differences.

[0044] Model selection and construction: Theoretical model basis: According to the geological conditions of the wellbore and the mechanical properties of the rock reflected in the first set of downhole measurement data, a suitable one is selected from a number of theoretical models as the basis for constructing the first mathematical model of wellbore stability. For example, if the rock mainly exhibits elastic deformation when subjected to force, a theoretical model related to elastic mechanics can be selected; if the rock is prone to plastic deformation, a plastic mechanics model can be considered.

[0045] Parameter determination: Combine the preprocessed data to determine the parameters in the selected model. These parameters reflect the physical and mechanical properties of the wellbore rock and can be obtained by testing rock samples in the laboratory, referring to empirical formulas from similar situations in the past, or performing inversion analysis.

[0046] Model construction: Substitute the determined parameters into the selected theoretical model to construct the first mathematical model for wellbore stability. This model can describe the mechanical response of the wellbore under various factors and evaluate the wellbore stability based on this.

[0047] Model verification and optimization: Verification method: Use the actual wellbore stability monitoring data or the data obtained from simulation experiments in the laboratory to verify the constructed first mathematical model for wellbore stability. Compare the predicted results of the model with the actual data to check the differences between the two.

[0048] Optimization strategy: If it is found through verification that there is a large deviation between the predicted results of the model and the actual situation, the model needs to be optimized. Methods such as adjusting the parameters in the model, improving the structure of the model, or considering introducing new influencing factors can be used to make the predicted results of the model more accurate and closer to the actual situation.

[0049] S300. Establish a second mathematical model for wellbore stability according to the second set of downhole measurement data;

[0050] In step S300, the construction steps of the second mathematical model for wellbore stability are the same as those of the first mathematical model for wellbore stability, so no more details will be elaborated here.

[0051] S400. Compare the first mathematical model for wellbore stability and the second mathematical model for wellbore stability to obtain a mathematical model for oil well wellbore stability;

[0052] Step S400 may include:

[0053] S410. Determine whether there is similarity between the first mathematical model for wellbore stability and the second mathematical model for wellbore stability according to the similarity judgment conditions;

[0054] S411. Extract the key features of the first mathematical model for wellbore stability and the key features of the second mathematical model for wellbore stability respectively;

[0055] S412. Determine whether there is similarity between the first mathematical model for wellbore stability and the second mathematical model for wellbore stability according to the key features of the first mathematical model for wellbore stability and the key features of the second mathematical model for wellbore stability;

[0056] The determination criterion for similarity is: According to the feature matching algorithm, determine whether there is an overlapping part between the key features of the first mathematical model for wellbore stability and the key features of the second mathematical model for wellbore stability, and determine whether there is similarity according to the result.

[0057] More specifically, if there is no overlapping part between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model, it is determined that there is no similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model;

[0058] If there is an overlapping part between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model, then further according to the similarity threshold, it is determined whether the similarity between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model is greater than or equal to the similarity threshold;

[0059] If the similarity between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model is less than the similarity threshold, it is determined that there is no similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model;

[0060] If the similarity between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model is greater than or equal to the similarity threshold, it is determined that there is similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model.

[0061] S420. If there is no similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model, then combine the first wellbore stability mathematical model and the second wellbore stability mathematical model to obtain the oil well wellbore stability mathematical model.

[0062] Step S420 may include:

[0063] S421. According to the fusion strategy, determine the weights between the first wellbore stability mathematical model and the second wellbore stability mathematical model;

[0064] More specifically, according to the first importance evaluation criterion, determine the importance score of the first wellbore stability mathematical model;

[0065] According to the second importance evaluation criterion, determine the importance score of the second wellbore stability mathematical model;

[0066] According to the importance score of the first wellbore stability mathematical model and the importance score of the second wellbore stability mathematical model, determine the weights between the first wellbore stability mathematical model and the second wellbore stability mathematical model.

[0067] S422. Combine the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the weights between them to obtain the oil well wellbore stability mathematical model.

[0068] S500. Determine whether the oil well wellbore is in a stable state and analyze the plastic zone situation of the wellbore according to the oil well wellbore stability mathematical model.

[0069] Figure 2 It is a schematic diagram of the functional modules of a system for integrated detection of wellbore stability and plastic zone in an embodiment of the present application. As Figure 2 shown, an integrated detection device for wellbore stability and plastic zone includes:

[0070] Data acquisition module: used to acquire the first set of downhole measurement data and the second set of downhole measurement data, where the first set of downhole measurement data is obtained by the first type of downhole measurement equipment, and the second set of downhole measurement data is obtained by the second type of downhole measurement equipment;

[0071] Model establishment module: connected to the data acquisition module, used to establish the first wellbore stability mathematical model according to the first set of downhole measurement data, and establish the second wellbore stability mathematical model according to the second set of downhole measurement data;

[0072] Model comparison module: connected to the model establishment module, used to compare the first wellbore stability mathematical model and the second wellbore stability mathematical model to obtain the oil well wellbore stability mathematical model;

[0073] State analysis module: connected to the model comparison module, used to determine whether the oil well wellbore is in a stable state and analyze the plastic zone situation of the wellbore according to the oil well wellbore stability mathematical model.

[0074] For other details of the technical solutions implemented by each module in the above-mentioned embodiment system, reference can be made to the description in an integrated detection method for wellbore stability and plastic zone in the above-mentioned embodiment, which will not be elaborated here.

[0075] It should be noted that each embodiment in this specification is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The same or similar parts among the embodiments can be referred to each other. For system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0076] An electronic device according to an embodiment of the present disclosure includes a memory and a processor. The memory is used to store non-transitory computer-readable instructions. Specifically, the memory may include one or more computer program products, and the computer program products may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc.

[0077] The processor may be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions. In an embodiment of the present disclosure, the processor is used to run the computer-readable instructions stored in the memory, so that the electronic device executes all or part of the steps of a wellbore stability and plastic zone integrated detection method according to various embodiments of the present disclosure described above.

[0078] Those skilled in the art should understand that, in order to solve the technical problem of how to obtain good user experience effects, known structures such as communication buses and interfaces may also be included in this embodiment, and these known structures should also be included in the protection scope of the present disclosure.

[0079] As Figure 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure. It shows a schematic structural diagram of an electronic device suitable for implementing the electronic device in the embodiments of the present disclosure. Figure 3 The shown electronic device is only an example and should not impose any limitation on the functions and usage scope of the embodiments of the present disclosure.

[0080] As Figure 3 shown, the electronic device may include a processor (such as a central processing unit, a graphics processing unit, etc.), which may perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) or a program loaded from a storage device into a random access memory (RAM). In the RAM, various programs and data required for the operation of the electronic device are also stored. The processor, ROM, and RAM are connected to each other through a bus. The input / output (I / O) interface is also connected to the bus.

[0081] Generally, the following devices may be connected to the I / O interface: input devices including, for example, sensors or visual information acquisition devices; output devices including, for example, display screens; storage devices including, for example, magnetic tapes, hard disks, etc.; and communication devices. The communication device may allow the electronic device to communicate with other devices (such as edge computing devices) wirelessly or wiredly to exchange data. Although Figure 3An electronic device with various devices is shown, but it should be understood that it is not required to implement or have all the shown devices. Instead, more or fewer devices may be implemented or had.

[0082] In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, an embodiment of the present disclosure includes a computer program product that includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device, or installed from a ROM. When the computer program is executed by a processor, all or part of the steps of a method for integrated detection of wellbore stability and plastic zone according to an embodiment of the present disclosure are executed.

[0083] For a detailed description of this embodiment, reference may be made to the corresponding descriptions in the foregoing embodiments, and details will not be repeated here.

[0084] A computer-readable storage medium according to an embodiment of the present disclosure stores non-temporary computer-readable instructions. When the non-temporary computer-readable instructions are run by a processor, all or part of the steps of a method for integrated detection of wellbore stability and plastic zone according to the foregoing embodiments of the present disclosure are executed.

[0085] The above-mentioned computer-readable storage media include, but are not limited to: optical storage media (such as CD-ROMs and DVDs), magneto-optical storage media (such as MOs), magnetic storage media (such as magnetic tapes or external hard drives), media with built-in rewritable non-volatile memories (such as memory cards), and media with built-in ROMs (such as ROM cartridges).

[0086] For a detailed description of this embodiment, reference may be made to the corresponding descriptions in the foregoing embodiments, and details will not be repeated here.

[0087] The basic principles of the present disclosure have been described above in conjunction with specific embodiments. However, it should be noted that the advantages, benefits, effects, etc. mentioned in the present disclosure are only examples and not limitations, and it cannot be considered that these advantages, benefits, effects, etc. are essential for each embodiment of the present disclosure. In addition, the above-mentioned specific details are only for illustrative and easy-to-understand purposes, and not for limitation. The above details do not limit the present disclosure to necessarily adopt the above specific details for implementation.

[0088] In this disclosure, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. The block diagrams of devices, apparatuses, equipment, and systems involved in this disclosure are only illustrative examples and do not intend to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open-ended words, meaning "including but not limited to", and can be used interchangeably with each other. The words "or" and "and" used herein refer to the word "and / or", and can be used interchangeably with each other, unless the context clearly indicates otherwise. The word "such as" used herein refers to the phrase "such as but not limited to", and can be used interchangeably with each other.

[0089] In addition, as used herein, "or" in a list of items beginning with "at least one" indicates a disjunctive list, so that for example, a listing of "at least one of A, B, or C" means A or B or C, or AB or AC or BC, or ABC (i.e., A and B and C). Further, the phrase "exemplary" does not mean that the examples described are preferred or better than other examples.

[0090] It should also be noted that in the systems and methods of this disclosure, each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent solutions of this disclosure.

[0091] Various changes, substitutions, and alterations to the technologies described herein can be made without departing from the teachings defined by the appended claims. In addition, the scope of the claims of this disclosure is not limited to the specific aspects of the processes, machines, manufactures, compositions of events, means, methods, and acts described above. Current or later-developed processes, machines, manufactures, compositions of events, means, methods, or acts that perform substantially the same function or achieve substantially the same result as the corresponding aspects described herein can be utilized. Accordingly, the appended claims include such processes, machines, manufactures, compositions of events, means, methods, or acts within their scope.

[0092] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use this disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of this disclosure. Therefore, this disclosure is not intended to be limited to the aspects shown herein, but rather to the broadest scope consistent with the principles and novel features disclosed herein.

[0093] The foregoing description has been presented for purposes of illustration and description. In addition, this description is not intended to limit embodiments of the present disclosure to the form disclosed herein. Although several example aspects and embodiments have been discussed above, those skilled in the art will recognize some of their variations, modifications, alterations, additions, and subcombinations.

Claims

1. An integrated detection method for wellbore stability and plastic zone, characterized in that Including the following steps: Obtain a first set of downhole measurement data and a second set of downhole measurement data, where the first set of downhole measurement data is obtained using a first type of downhole measurement device, and the second set of downhole measurement data is obtained using a second type of downhole measurement device; Establish a first wellbore stability mathematical model based on the first set of downhole measurement data; Establish a second wellbore stability mathematical model based on the second set of downhole measurement data; Compare the first wellbore stability mathematical model and the second wellbore stability mathematical model to obtain an oil well wellbore stability mathematical model; Determine whether the oil well wellbore is in a stable state and analyze the plastic zone situation of the wellbore according to the oil well wellbore stability mathematical model.

2. The method according to claim 1, wherein The comparing the first wellbore stability mathematical model and the second wellbore stability mathematical model to obtain an oil well wellbore stability mathematical model includes: Determine whether there is similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the similarity judgment condition; If there is no similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model, then merge the first wellbore stability mathematical model and the second wellbore stability mathematical model to obtain the oil well wellbore stability mathematical model.

3. The method according to claim 2, wherein The determining whether there is similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the similarity judgment condition includes: Extract the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model respectively; Determine whether there is similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model.

4. The method according to claim 3, wherein The determining whether there is similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model includes: Determine whether there is an overlapping part between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model according to the feature matching algorithm, and determine whether there is similarity according to the result.

5. The method according to claim 4, wherein The determining whether there is similarity according to the result includes: If there is no overlapping part between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model, then determine that there is no similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model; If there is an overlapping part between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model, then further determine whether the similarity between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model is greater than or equal to the similarity threshold according to the similarity threshold; If the similarity between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model is less than the similarity threshold, it is determined that there is no similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model; If the similarity between the key features of the first wellbore stability mathematical model and the key features of the second wellbore stability mathematical model is greater than or equal to the similarity threshold, it is determined that there is similarity between the first wellbore stability mathematical model and the second wellbore stability mathematical model.

6. The method according to claim 2, wherein The merging of the first wellbore stability mathematical model and the second wellbore stability mathematical model to obtain the oil wellbore stability mathematical model includes: Determining the weights between the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the fusion strategy; Merging the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the weights between the first wellbore stability mathematical model and the second wellbore stability mathematical model to obtain the oil wellbore stability mathematical model.

7. The method according to claim 6, characterized in that, The determining the weights between the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the fusion strategy includes: Determining the importance score of the first wellbore stability mathematical model according to the first importance evaluation criterion; Determining the importance score of the second wellbore stability mathematical model according to the second importance evaluation criterion; Determining the weights between the first wellbore stability mathematical model and the second wellbore stability mathematical model according to the importance score of the first wellbore stability mathematical model and the importance score of the second wellbore stability mathematical model.

8. An integrated detection device for wellbore stability and plastic zone, characterized in that, Includes: Data acquisition module: used to acquire the first set of downhole measurement data and the second set of downhole measurement data, where the first set of downhole measurement data is obtained by the first type of downhole measurement device, and the second set of downhole measurement data is obtained by the second type of downhole measurement device; Model establishment module: connected to the data acquisition module, used to establish a first wellbore stability mathematical model according to the first set of downhole measurement data, and establish a second wellbore stability mathematical model according to the second set of downhole measurement data; Model comparison module: connected to the model establishment module, used to compare the first wellbore stability mathematical model and the second wellbore stability mathematical model to obtain the oil wellbore stability mathematical model; State analysis module: connected to the model comparison module, used to determine whether the oil wellbore is in a stable state and analyze the plastic zone situation of the wellbore according to the oil wellbore stability mathematical model.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute a method for integrated detection of wellbore stability and plastic zone according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing a computer to execute a method for integrated detection of wellbore stability and plastic zone according to any one of claims 1-7.

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