Digital wellbore three-dimensional construction method and system based on multi-source data fusion and medium

Abstract

The invention discloses a digital wellbore three-dimensional construction method and system based on multi-source data fusion and a medium, and the method comprises the following steps: setting collection parameters, collecting wellbore multi-source data according to the corresponding collection parameters based on a plurality of sensors, preprocessing the wellbore multi-source data, and storing the preprocessed wellbore multi-source data into a database; the multi-source data comprises multi-arm hole diameter data, electromagnetic thickness measurement data, video measurement data and well deviation data; performing coordinate transformation on the preprocessed data to obtain three-dimensional data; fusing the three-dimensional data, constructing a digital wellbore model based on a fusion result, and obtaining model parameters; performing cross verification on the three-dimensional data of different dimensions to obtain a verification result; the model parameters of the data wellbore model are dynamically adjusted based on the verification result, and by obtaining wellbore multi-source data and conducting cross verification on data of different latitudes, the complex wellbore multi-solution situation is avoided, accurate construction of the digital wellbore is guaranteed, and the accuracy of analysis and judgment is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of three-dimensional construction of digital wellbore, and in particular to a three-dimensional construction method, system and medium for digital wellbore based on multi-source data fusion. Background Art

[0002] With the continuous deepening of oil and gas field development, due to the non-uniformity of the formation, wellbore aging, unstable water injection and other problems, the wellbore will eventually suffer from corrosion, deformation, rupture, fault and other damage, causing safety hazards. Further research found that wellbore damage will have a great impact and damage on downhole operations and oil and gas production. Damaged wellbores often have technical defects such as leakage and water injection dispersion, which will cause many disadvantages such as reduced oil production efficiency and failure of production enhancement technology. In the project, before downhole operations, the characteristic parameters of the downhole wellbore (corrosion, deformation, holes, fractures, etc.) are obtained as accurately as possible to reduce the risk of downhole operations and improve the efficiency of downhole operations. Traditional wellbore detection and interpretation methods cannot comprehensively and objectively evaluate the downhole wellbore. The multi-source data fusion method is used to make each detection method complement and verify each other, thereby forming a three-dimensional digital model of the downhole wellbore and improving the detection accuracy of the characteristic parameters of the downhole wellbore. Summary of the invention

[0003] The purpose of the present invention is to propose a digital wellbore three-dimensional construction method based on multi-source data fusion, comprising the following steps: setting acquisition parameters, collecting wellbore multi-source data based on a variety of sensors according to corresponding acquisition parameters, and pre-processing the wellbore multi-source data, wherein the multi-source data includes multi-arm caliper data, electromagnetic thickness measurement data, video measurement data and well deviation data;

[0004] The pre-processed multi-arm caliper data, electromagnetic thickness measurement data, video measurement data and well deviation data are coordinate-converted to obtain three-dimensional data corresponding to the multi-arm caliper data, electromagnetic thickness measurement data, video measurement data and well deviation data;

[0005] Fuse the three-dimensional data, build a digital wellbore model based on the fusion results, and obtain the model parameters;

[0006] Cross-validate three-dimensional data of different dimensions to obtain validation results;

[0007] The model parameters of the data wellbore model are dynamically adjusted based on the validation results.

[0008] Furthermore, the wellbore multi-source data is preprocessed, specifically including:

[0009] Set acquisition parameters and match multi-arm caliper sensors, electromagnetic thickness sensors, video measurement sensors and well deviation sensors based on the acquisition parameters;

[0010] Based on the multi-arm caliper sensor, electromagnetic thickness sensor, video measurement sensor and well deviation sensor, the corresponding multi-arm caliper data, electromagnetic thickness measurement data, video measurement data and well deviation data are collected;

[0011] Perform depth alignment, resampling and comparative analysis on multi-arm caliper data, electromagnetic thickness data, video measurement data and well deviation data of the same well section to screen out valid data;

[0012] Extract the features of effective data to obtain the wellbore inner diameter features, wellbore thickness features, wellbore video features and well deviation features;

[0013] The wellbore inner diameter features, wellbore thickness features, wellbore video features and well inclination features are normalized.

[0014] Furthermore, the optimized data at different latitudes are cross-validated to obtain the validation results, including:

[0015] Acquire multi-arm caliper data, electromagnetic thickness measurement data, video measurement data, and well deviation data, and sequentially number the multi-arm caliper data, electromagnetic thickness measurement data, video measurement data, and well deviation data to obtain a first group of data, a second group of data, a third group of data, and a fourth group of data;

[0016] The first set of data is fixed, and the first set of data is sequentially compared with the second set of data, the third set of data, and the fourth set of data to obtain a first comparison result;

[0017] The second set of data is fixed, and the second set of data is sequentially compared with the third set of data and the fourth set of data to obtain a second comparison result;

[0018] The third set of data is fixed, and the third set of data is compared with the fourth set of data to obtain a third comparison result;

[0019] A verification result is generated based on the first comparison result, the second comparison result, and the third comparison result.

[0020] Furthermore, the model parameters of the data wellbore model are dynamically adjusted based on the verification results, specifically including:

[0021] Compare the verification result with the set verification condition to obtain the difference value;

[0022] Comparing the difference value with a set difference threshold, the set difference threshold includes a first difference threshold and a second difference threshold, and the first difference threshold is less than the second difference threshold;

[0023] If the difference value is greater than the first difference threshold and less than the second difference threshold, a first adjustment coefficient is generated, and the model parameter is adjusted based on the first adjustment coefficient;

[0024] If the difference value is greater than or equal to the second difference threshold, a second adjustment coefficient is generated, and the model parameter is adjusted based on the second adjustment coefficient.

[0025] Furthermore, the three-dimensional data is fused, a digital wellbore model is constructed based on the fusion result, and the model parameters are obtained, including:

[0026] Obtain three-dimensional data corresponding to multi-arm wellbore data, electromagnetic thickness measurement data, video measurement data and well deviation data;

[0027] Analyze the weight coefficients corresponding to multi-arm wellbore data, electromagnetic thickness measurement data, video measurement data and well deviation data;

[0028] Based on different weight coefficients, weighted calculation is performed on multi-arm wellbore data, electromagnetic thickness measurement data, video measurement data or well deviation data to obtain weighted coefficients;

[0029] Optimize the processing of multi-arm caliper data, electromagnetic thickness measurement data, video measurement data or well deviation data based on weighted coefficients;

[0030] The optimized multi-arm caliper data, electromagnetic thickness measurement data, video measurement data or well deviation data are weightedly fused according to weighting coefficients to obtain fused data;

[0031] Based on the fused data, the characteristics of wellbore corrosion, deformation, holes, fractures, etc. are described and quantitatively measured to obtain the measurement results;

[0032] Generate three-dimensional wellbore model parameters based on the measurement results.

[0033] Furthermore, the characteristics of wellbore corrosion, deformation, holes, fractures, etc. are described and quantitatively measured, including:

[0034] Measure the inner diameter of the wellbore wall based on multi-arm wellbore data analysis;

[0035] Analyze the remaining thickness of the wellbore based on electromagnetic thickness measurement data, and analyze the thickness change information of the inner and outer walls in combination with multi-arm wellbore data;

[0036] The entire inner wall information of the wellbore is measured based on video measurement data, and the thickness change location is analyzed by combining multi-arm wellbore data and electromagnetic thickness measurement data.

[0037] The present invention also provides a digital wellbore three-dimensional construction system based on multi-source data fusion, comprising a processor, a memory and at least one program, wherein the program is stored in the memory and is configured to be executed by the processor, and the program includes instructions for executing the digital wellbore three-dimensional construction method based on multi-source data fusion as described in any one of the above.

[0038] The present invention also provides a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute to implement any one of the above-mentioned methods for constructing a three-dimensional digital wellbore based on multi-source data fusion.

[0039] Due to the application of the above technical solution, the present invention has the following advantages compared with the prior art:

[0040] The present invention obtains multi-source wellbore data and performs optimization processing to obtain multi-dimensional optimized data, and cross-validates the optimized data at different latitudes to avoid multiple solutions for complex wellbores, ensure accurate construction of digital wellbores, and improve the accuracy of analysis and judgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic diagram showing a flow chart of a method for constructing a three-dimensional digital wellbore based on multi-source data fusion provided by an embodiment of the present invention;

[0042] Figure 2 A flow chart of a multi-dimensional optimized data acquisition method for a digital wellbore three-dimensional construction method based on multi-source data fusion provided in this embodiment is shown;

[0043] Figure 3 A flow chart of a method for obtaining verification results of a digital wellbore three-dimensional construction method based on multi-source data fusion provided in this embodiment is shown. DETAILED DESCRIPTION

[0044] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0045] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0046] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0047] like Figure 1-Figure 3 As shown, an embodiment of the present invention provides a method for constructing a digital wellbore 3D based on multi-source data fusion, comprising the following steps:

[0048] S101, setting acquisition parameters, collecting wellbore multi-source data based on various sensors according to corresponding acquisition parameters, and preprocessing the wellbore multi-source data, the multi-source data including multi-arm wellbore diameter data, electromagnetic thickness measurement data, video measurement data and well deviation data;

[0049] S102, coordinate conversion is performed on the pre-processed multi-arm caliper data, electromagnetic thickness measurement data, video measurement data and well deviation data to obtain three-dimensional data corresponding to the multi-arm caliper data, electromagnetic thickness measurement data, video measurement data and well deviation data;

[0050] S103, fusing the three-dimensional data, building a digital wellbore model based on the fusion result, and obtaining model parameters;

[0051] S104, cross-validating the three-dimensional data of different dimensions to obtain a validation result;

[0052] S105, dynamically adjusting model parameters of the data wellbore model based on the verification result.

[0053] According to an embodiment of the present invention, preprocessing of wellbore multi-source data specifically includes:

[0054] S201, setting acquisition parameters, and matching the multi-arm caliper sensor, electromagnetic thickness sensor, video measurement sensor, and well deviation sensor based on the acquisition parameters;

[0055] S202, collecting corresponding multi-arm caliper data, electromagnetic thickness measurement data, video measurement data and well deviation data based on the multi-arm caliper sensor, electromagnetic thickness measurement sensor, video measurement sensor and well deviation sensor;

[0056] S203, performing depth alignment, resampling, and comparison analysis on multi-arm caliper data, electromagnetic thickness measurement data, video measurement data, and well deviation data of the same well section to screen out valid data;

[0057] S204, extracting features of valid data to obtain wellbore inner diameter features, wellbore thickness features, wellbore video features, and well deviation features;

[0058] S205, normalizing the wellbore inner diameter feature, wellbore thickness feature, wellbore video feature and well deviation feature.

[0059] According to an embodiment of the present invention, cross-validation is performed on optimized data at different latitudes to obtain validation results, which specifically include:

[0060] S301, acquiring multi-arm caliper data, electromagnetic thickness measurement data, video measurement data and well deviation data, and sequentially numbering the multi-arm caliper data, electromagnetic thickness measurement data, video measurement data and well deviation data to obtain a first group of data, a second group of data, a third group of data and a fourth group of data;

[0061] S302, fixing the first set of data, and sequentially comparing the first set of data with the second set of data, the third set of data, and the fourth set of data to obtain a first comparison result;

[0062] S303, fixing the second set of data, and comparing the second set of data with the third set of data and the fourth set of data in sequence to obtain a second comparison result;

[0063] S304, fixing the third set of data, and comparing the third set of data with the fourth set of data to obtain a third comparison result;

[0064] S305: Generate a verification result based on the first comparison result, the second comparison result, and the third comparison result.

[0065] According to an embodiment of the present invention, the model parameters of the data wellbore model are dynamically adjusted based on the verification results, specifically including:

[0066] Compare the verification result with the set verification condition to obtain the difference value;

[0067] Comparing the difference value with a set difference threshold, the set difference threshold includes a first difference threshold and a second difference threshold, and the first difference threshold is less than the second difference threshold;

[0068] If the difference value is greater than the first difference threshold and less than the second difference threshold, a first adjustment coefficient is generated, and the model parameter is adjusted based on the first adjustment coefficient;

[0069] If the difference value is greater than or equal to the second difference threshold, a second adjustment coefficient is generated, and the model parameter is adjusted based on the second adjustment coefficient.

[0070] According to an embodiment of the present invention, the three-dimensional data is fused, a digital wellbore model is constructed based on the fusion result, and model parameters are obtained, specifically including:

[0071] Obtain three-dimensional data corresponding to multi-arm wellbore data, electromagnetic thickness measurement data, video measurement data and well deviation data;

[0072] Analyze the weight coefficients corresponding to multi-arm wellbore data, electromagnetic thickness measurement data, video measurement data and well deviation data;

[0073] Based on different weight coefficients, weighted calculation is performed on multi-arm wellbore data, electromagnetic thickness measurement data, video measurement data or well deviation data to obtain weighted coefficients;

[0074] Optimize the processing of multi-arm caliper data, electromagnetic thickness measurement data, video measurement data or well deviation data based on weighted coefficients;

[0075] The optimized multi-arm caliper data, electromagnetic thickness measurement data, video measurement data or well deviation data are weightedly fused according to weighting coefficients to obtain fused data;

[0076] Based on the fused data, the characteristics of wellbore corrosion, deformation, holes, and fractures are described and quantitatively measured to obtain measurement results;

[0077] Generate three-dimensional wellbore model parameters based on the measurement results.

[0078] According to an embodiment of the present invention, the characteristics of wellbore corrosion, deformation, holes, and fractures are described and quantitatively measured, including:

[0079] Measure the inner diameter of the wellbore wall based on multi-arm wellbore data analysis;

[0080] Analyze the remaining thickness of the wellbore based on electromagnetic thickness measurement data, and analyze the thickness change information of the inner and outer walls in combination with multi-arm wellbore data;

[0081] The entire inner wall information of the wellbore is measured based on video measurement data, and the thickness change location is analyzed by combining multi-arm wellbore data and electromagnetic thickness measurement data.

[0082] In summary, the present invention obtains multi-source wellbore data and performs optimization processing to obtain multi-dimensional optimized data, and cross-validates the optimized data at different latitudes to avoid the occurrence of complex wellbore multiple solutions, ensure the precise construction of digital wellbore, and improve the accuracy of analysis and judgment.

[0083] This embodiment also provides a digital wellbore 3D construction system based on multi-source data fusion, including a processor, a memory and at least one program, wherein the program is stored in the memory and is configured to be executed by the processor, and the program includes instructions for executing any of the above-mentioned digital wellbore 3D construction methods based on multi-source data fusion.

[0084] The present invention also provides a computer-readable storage medium storing a computer program, which enables a computer to execute to implement any of the above-mentioned methods for constructing a three-dimensional digital wellbore based on multi-source data fusion.

[0085] Those skilled in the art will appreciate that, for ease of description, the example in which both the memory and the processor are provided with one is used for description. In an actual terminal or server, there may be multiple processors and memories. The memory may also be referred to as a storage medium or a storage device, etc., which is not limited in the embodiments of the present application.

[0086] It should be understood that in the embodiments of the present application, the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The processor may also be a general-purpose microprocessor, graphics processing unit (GPU), or one or more integrated circuits for executing related programs to implement the functions required to be executed in the embodiments of the present application.

[0087] The processor can also be an integrated circuit chip with signal processing capabilities. In the implementation process, the various steps of the present application can be completed by the integrated logic circuit of the hardware in the processor or the instructions in the form of software. The above-mentioned processor can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present application. The steps of the method disclosed in the embodiments of the present application can be directly embodied as a hardware decoding processor to be executed, or a combination of hardware and software modules in the decoding processor to be executed. The software module can be located in a random access memory, a flash memory and a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register and other mature storage media in the art. The storage medium is located in the memory, and the processor reads the information in the memory, and combines its hardware to complete the functions required to be performed by the unit included in the method, device and storage medium of the embodiment of the present application.

[0088] It should also be understood that the memory mentioned in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache.

[0089] By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DR RAM).

[0090] The memory may also be a read-only optical disc (Compact Disc Read-Only Memory, CD-ROM) or other optical disc storage, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory may be independent and connected to the processor via a bus. The memory may also be integrated with the processor, and the memory may store a program. When the program stored in the memory is executed by the processor, the processor is used to execute the various steps of the determination method in the above-mentioned embodiment of the present application.

[0091] It should be noted that when the processor is a general-purpose processor, DSP, ASIC, FPGA or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, the memory (storage module) is integrated into the processor. It should be noted that the memory described herein is intended to include but is not limited to these and any other suitable types of memory.

[0092] It should be understood that the term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0093] In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in a processor or an instruction in the form of software. The steps of the method disclosed in conjunction with the embodiment of the present application can be directly embodied as a hardware processor for execution, or a combination of hardware and software modules in a processor for execution. The software module can be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, and the processor reads the information in the memory, and completes the steps of the above method in conjunction with its hardware. To avoid repetition, it is not described in detail here.

[0094] Those skilled in the art will appreciate that the various illustrative logical blocks (ILBs) and steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0095] In the above embodiments, all or part of the embodiments may be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments may be implemented in the form of a program product of computer programming. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a processor, all or part of the processes or functions according to the embodiments of the present application are generated. The computer may be a general-purpose computer, a computer network, or other programmable device.

[0096] This embodiment also provides a computer-readable storage medium, which stores a computer program. The computer program enables a computer to execute to implement the above-mentioned digital wellbore three-dimensional construction method based on multi-source data fusion.

[0097] It should be noted that computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (e.g., coaxial cable, optical fiber) or wireless (e.g., infrared, wireless, microwave, etc.) means, or can be transmitted from one website, computer, server or data center to a mobile phone processor by wired means. Computer-readable storage media can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media. Available media can be magnetic media (e.g., floppy disk, hard disk), optical media (e.g., DVD), or semiconductor media (e.g., solid-state hard disk), etc.

[0098] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for constructing a digital wellbore in three dimensions based on multi-source data fusion, characterized in that: The following steps are involved: Set acquisition parameters, collect wellbore multi-source data based on multiple sensors according to corresponding acquisition parameters, and pre-process the wellbore multi-source data, wherein the multi-source data includes multi-arm wellbore diameter data, electromagnetic thickness measurement data, video measurement data and well deviation data; The pre-processed multi-arm caliper data, electromagnetic thickness measurement data, video measurement data and well deviation data are coordinate-converted to obtain three-dimensional data corresponding to the multi-arm caliper data, electromagnetic thickness measurement data, video measurement data and well deviation data; Fuse the three-dimensional data, build a digital wellbore model based on the fusion results, and obtain the model parameters; Cross-validate three-dimensional data of different dimensions to obtain validation results; The model parameters of the data wellbore model are dynamically adjusted based on the validation results.

2. The method for constructing a digital wellbore 3D based on multi-source data fusion according to claim 1, characterized in that: Preprocess the wellbore multi-source data, including: Set acquisition parameters and match multi-arm caliper sensors, electromagnetic thickness sensors, video measurement sensors and well deviation sensors based on the acquisition parameters; Based on the multi-arm caliper sensor, electromagnetic thickness sensor, video measurement sensor and well deviation sensor, the corresponding multi-arm caliper data, electromagnetic thickness measurement data, video measurement data and well deviation data are collected; Perform depth alignment, resampling and comparative analysis on multi-arm caliper data, electromagnetic thickness data, video measurement data and well deviation data of the same well section to screen out valid data; Extract the features of effective data to obtain the wellbore inner diameter features, wellbore thickness features, wellbore video features and well deviation features; The wellbore inner diameter features, wellbore thickness features, wellbore video features and well inclination features are normalized.

3. The method for constructing a digital wellbore in three dimensions based on multi-source data fusion according to claim 2, characterized in that: The optimized data at different latitudes are cross-validated to obtain the validation results, including: Acquire multi-arm caliper data, electromagnetic thickness measurement data, video measurement data, and well deviation data, and sequentially number the multi-arm caliper data, electromagnetic thickness measurement data, video measurement data, and well deviation data to obtain a first group of data, a second group of data, a third group of data, and a fourth group of data; The first set of data is fixed, and the first set of data is sequentially compared with the second set of data, the third set of data, and the fourth set of data to obtain a first comparison result; The second set of data is fixed, and the second set of data is sequentially compared with the third set of data and the fourth set of data to obtain a second comparison result; The third set of data is fixed, and the third set of data is compared with the fourth set of data to obtain a third comparison result; A verification result is generated based on the first comparison result, the second comparison result, and the third comparison result.

4. The method for constructing a digital wellbore in three dimensions based on multi-source data fusion according to claim 3, characterized in that: Dynamically adjust the model parameters of the data wellbore model based on the verification results, including: Compare the verification result with the set verification condition to obtain the difference value; Comparing the difference value with a set difference threshold, the set difference threshold includes a first difference threshold and a second difference threshold, and the first difference threshold is less than the second difference threshold; If the difference value is greater than the first difference threshold and less than the second difference threshold, a first adjustment coefficient is generated, and the model parameter is adjusted based on the first adjustment coefficient; If the difference value is greater than or equal to the second difference threshold, a second adjustment coefficient is generated, and the model parameter is adjusted based on the second adjustment coefficient.

5. The method for constructing a digital wellbore in three dimensions based on multi-source data fusion according to claim 4, characterized in that: The three-dimensional data is fused, and a digital wellbore model is constructed based on the fusion results, and the model parameters are obtained, including: Obtain three-dimensional data corresponding to multi-arm wellbore data, electromagnetic thickness measurement data, video measurement data and well deviation data; Analyze the weight coefficients corresponding to multi-arm wellbore data, electromagnetic thickness measurement data, video measurement data and well deviation data; Based on different weight coefficients, weighted calculation is performed on multi-arm wellbore data, electromagnetic thickness measurement data, video measurement data or well deviation data to obtain weighted coefficients; Optimize the processing of multi-arm caliper data, electromagnetic thickness measurement data, video measurement data or well deviation data based on weighted coefficients; The optimized multi-arm caliper data, electromagnetic thickness measurement data, video measurement data or well deviation data are weightedly fused according to weighting coefficients to obtain fused data; Based on the fused data, the characteristics of wellbore corrosion, deformation, holes, and fractures are described and quantitatively measured to obtain measurement results; Generate three-dimensional wellbore model parameters based on the measurement results.

6. The method for constructing a digital wellbore in three dimensions based on multi-source data fusion according to claim 5, characterized in that: Describe and quantitatively measure the characteristics of wellbore corrosion, deformation, holes, and fractures, including: Measure the inner diameter of the wellbore wall based on multi-arm wellbore data analysis; Analyze the remaining thickness of the wellbore based on electromagnetic thickness measurement data, and analyze the thickness change information of the inner and outer walls in combination with multi-arm wellbore data; The entire inner wall information of the wellbore is measured based on video measurement data, and the thickness change location is analyzed by combining multi-arm wellbore data and electromagnetic thickness measurement data.

7. A digital wellbore 3D construction system based on multi-source data fusion, characterized in that: The method comprises a processor, a memory and at least one program, wherein the program is stored in the memory and configured to be executed by the processor, and the program comprises instructions for executing the method for three-dimensional construction of a digital wellbore based on multi-source data fusion as described in any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which enables a computer to execute to implement the method for constructing a digital wellbore in three dimensions based on multi-source data fusion according to any one of claims 1 to 6.

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