Oil and gas underground multi-twin fusion method and well drilling track design adjustment method

Abstract

The invention provides an oil-gas underground multi-twin fusion method and a drilling track design adjustment method, and the method comprises the steps: obtaining three-dimensional geological sub-models in one-to-one correspondence with a plurality of first moments based on a pre-constructed three-dimensional geological model; based on a pre-constructed three-dimensional oil and gas reservoir model, obtaining three-dimensional oil and gas reservoir sub-models in one-to-one correspondence with the plurality of second moments; based on a pre-constructed three-dimensional wellbore model, three-dimensional wellbore sub-models in one-to-one correspondence with the multiple third moments are obtained; and according to the spatial relationship, fusing the three-dimensional geological sub-model, the three-dimensional oil and gas reservoir sub-model and the three-dimensional shaft sub-model to obtain the digital twinborn body of the target work area. For an oil and gas development area, geological attributes, fluid characteristics, wellbore data and the like with timestamps can be output according to the specific scene requirements of the digital twinborn for engineering application, and the final purposes of increasing speed, improving efficiency, improving quality and improving yield are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas exploration and development, and in particular to an oil and gas underground multi-twin fusion method and a drilling trajectory design and adjustment method. Background Art

[0002] Some related technologies provide methods for fusing various tables in a digital twin data set, some provide methods for model assembly by performing module decomposition, model coupling analysis, and model operation computing resource and time scale analysis on digital twin objects, and some provide methods for establishing digital twin models based on data of different dimensions of physical products. However, none of the related technologies involve the fusion technology of digital twins with multiple disciplines, dimensions, and frequencies for oil and gas.

[0003] Therefore, in order to meet the increasingly urgent needs for integrated, real-time data analysis in geological engineering, a method for fusion of multiple twins of oil and gas underground must be provided. Summary of the invention

[0004] The main purpose of the present invention is to provide a method for fusing multiple twins of underground oil and gas and a method for designing and adjusting a drilling trajectory, so as to realize the fusion of multiple twins of underground oil and gas.

[0005] The present invention provides a method for fusing multiple twins of underground oil and gas, comprising: based on a pre-constructed three-dimensional geological model, obtaining geological properties of strata in a target work area at multiple different first moments, and obtaining three-dimensional geological sub-models corresponding to the multiple first moments; based on a pre-constructed three-dimensional oil and gas reservoir model, obtaining fluid properties of fluid in the target work area at multiple different second moments, and obtaining three-dimensional oil and gas reservoir sub-models corresponding to the multiple second moments; based on a pre-constructed three-dimensional wellbore model, obtaining wellbore data of the target work area at multiple different third moments, and obtaining three-dimensional wellbore sub-models corresponding to the multiple third moments; according to spatial relationships, fusing three-dimensional geological sub-models, three-dimensional oil and gas reservoir sub-models, and three-dimensional wellbore sub-models corresponding to the first moment, the second moment, and the third moment with the least time difference, respectively, to obtain multiple three-dimensional sub-models of the target work area, and fusing the multiple three-dimensional sub-models according to time relationships to obtain a digital twin of the target work area.

[0006] In one embodiment, the time intervals between the multiple different first moments, the time intervals between the multiple different second moments, and the time intervals between the multiple different third moments are all as small as possible.

[0007] In one embodiment, the geological attributes include at least one of the following: structure, mechanical properties, sedimentary characteristics, and diagenetic properties.

[0008] In one embodiment, the fluid characteristics include at least one of the following: distribution and flow properties of oil, gas and water fluids.

[0009] In one embodiment, the wellbore data includes: drilling wellbore data, completed wellbore data and production wellbore data; wherein, the drilling wellbore data includes: the composition of the drilling tubing in the wellbore and the drilling construction parameters; the completed wellbore data includes: wellbore trajectory, wellbore structure, casing, production tubing and logging data; the production wellbore data includes: real-time production parameters.

[0010] The present invention provides a drilling trajectory design and adjustment method, which is based on a digital twin of a target work area obtained by using the above-mentioned oil and gas underground multi-twin fusion method, including: based on the digital twin, according to the horizontal position information and vertical depth information of the initial drilling trajectory, extracting the geological properties, fluid properties and wellbore data of the position through which the initial drilling trajectory passes; evaluating whether there is a risk of well leakage and well collapse in the depth domain of the target work area according to the geological properties, evaluating whether the oil and gas reservoir passed by the initial drilling trajectory meets preset requirements according to the fluid properties, and evaluating whether there is a risk of wellbore collision between adjacent wellbores according to the wellbore data; adjusting the initial drilling trajectory according to the evaluation results of the risk of well leakage and well collapse and the risk of collision between the oil and gas reservoir and the wellbore.

[0011] The present invention provides an oil and gas underground multi-twin fusion device, comprising: a first data acquisition module, used to obtain the geological properties of the strata of the target work area at multiple different first moments based on a pre-constructed three-dimensional geological model, and obtain the three-dimensional geological sub-models corresponding to the multiple first moments one by one; a second data acquisition module, used to obtain the fluid properties of the fluid in the target work area at multiple different second moments based on a pre-constructed three-dimensional oil and gas reservoir model, and obtain the three-dimensional oil and gas reservoir sub-models corresponding to the multiple second moments one by one; a third data acquisition module, used to obtain the wellbore data of the target work area at multiple different third moments based on a pre-constructed three-dimensional wellbore model, and obtain the three-dimensional wellbore sub-models corresponding to the multiple third moments one by one; a model construction module, used to fuse the three-dimensional geological sub-models, the three-dimensional oil and gas reservoir sub-models and the three-dimensional wellbore sub-models corresponding to the first moment, the second moment and the third moment with the least time difference according to the spatial relationship, to obtain multiple three-dimensional sub-models of the target work area, and fuse the multiple three-dimensional sub-models according to the time relationship to obtain the digital twin of the target work area.

[0012] The present invention provides a drilling trajectory design and adjustment device, which is based on the digital twin of the target work area obtained by using the above-mentioned oil and gas underground multi-twin fusion device, and includes: a data extraction module, which is used to extract the geological properties, fluid properties and wellbore data of the position where the initial drilling trajectory passes through based on the digital twin and according to the horizontal position information and vertical depth information of the initial drilling trajectory; a property evaluation module, which is used to evaluate whether there is a risk of well leakage and well collapse in the depth domain of the target work area according to the geological properties, evaluate whether the oil and gas reservoir passed by the initial drilling trajectory meets the preset requirements according to the fluid properties, and evaluate whether there is a risk of wellbore collision between adjacent wellbores according to the wellbore data; a trajectory adjustment module, which is used to adjust the initial drilling trajectory according to the evaluation results of the risk of well leakage and well collapse and the risk of collision between the oil and gas reservoir and the wellbore.

[0013] The present invention provides a computing device, including a processor and a memory, wherein the memory stores a computer program. When the computer program is executed by the processor, the above-mentioned oil and gas underground multi-twin fusion method or the above-mentioned drilling trajectory design adjustment method is implemented.

[0014] The present invention provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by the processor, the above-mentioned oil and gas underground multi-twin fusion method or the above-mentioned drilling trajectory design adjustment method is implemented.

[0015] Using the method of this embodiment, for oil and gas development areas, the three-dimensional geological model / three-dimensional oil and gas reservoir model and the three-dimensional wellbore model can be integrated into a digital twin, so that the digital twin can be used to output geological properties, fluid properties and wellbore data with timestamps for specific scenario requirements of engineering applications, so as to support the analysis of data at a specific time and achieve the ultimate goal of speeding up, improving efficiency, quality and increasing production. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings constituting a part of the present application are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0017] Figure 1 It is a flow chart of a method for fusion of multiple twins in oil and gas underground according to one embodiment of the present application;

[0018] Figure 2 The present invention is a flowchart of a drilling trajectory design and adjustment method according to an embodiment of the present application. DETAILED DESCRIPTION

[0019] 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 invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0020] refer to Figure 1 This embodiment provides an oil and gas underground multi-twin fusion method, comprising the following steps:

[0021] S110: Based on the pre-constructed three-dimensional geological model, the geological attributes of the strata in the target work area at multiple different first moments are obtained to obtain three-dimensional geological sub-models corresponding to the multiple first moments.

[0022] S120: Based on the pre-constructed three-dimensional oil and gas reservoir model, the fluid characteristics of the fluid in the target work area at multiple different second moments are obtained to obtain three-dimensional oil and gas reservoir sub-models corresponding to the multiple second moments.

[0023] S130: Based on the pre-constructed three-dimensional wellbore model, the wellbore data of the target work area at multiple different third moments are obtained to obtain three-dimensional wellbore sub-models corresponding to the multiple third moments.

[0024] S140: According to the spatial relationship, the three-dimensional geological sub-model, the three-dimensional oil and gas reservoir sub-model and the three-dimensional wellbore sub-model corresponding to the first moment, the second moment and the third moment with the smallest time difference are respectively merged to obtain multiple three-dimensional sub-models of the target work area, and the multiple three-dimensional sub-models are merged according to the time relationship to obtain the digital twin of the target work area.

[0025] In this embodiment, a three-dimensional geological model, a three-dimensional oil and gas reservoir model and a three-dimensional wellbore model can be pre-constructed for the target work area, and then the geological properties, fluid characteristics and wellbore data of the target work area can be obtained by using the three-dimensional geological model, the three-dimensional oil and gas reservoir model and the three-dimensional wellbore model respectively based on the measured geological data, the measured oil and gas reservoir data and the measured wellbore data.

[0026] For example, a three-dimensional geological model can be used to simulate geological measured data and then output geological properties, a three-dimensional oil and gas reservoir model can be used to simulate fluid measured data and then output fluid characteristics, and a three-dimensional wellbore model can be used to simulate wellbore measured data and then output wellbore data.

[0027] Among them, the geological measured data, oil and gas reservoir measured data and wellbore measured data can be multiple data at different times, so that geological properties, fluid properties and wellbore data at multiple different times can be obtained accordingly, and then multiple three-dimensional geological sub-models, multiple three-dimensional oil and gas reservoir sub-models and multiple three-dimensional wellbore sub-models with time stamps can be obtained. The time intervals of multiple geological measured data, multiple oil and gas reservoir measured data and multiple wellbore measured data may not be completely the same.

[0028] In this embodiment, modeling tools, simulation tools, and visualization tools can be used to build a digital twin of the target tool, which facilitates business personnel in different fields to communicate based on the same perspective, improves communication efficiency and consistency, and realizes geological engineering integration.

[0029] Using the method of this embodiment, for oil and gas development areas, the three-dimensional geological model / three-dimensional oil and gas reservoir model and the three-dimensional wellbore model can be integrated into a digital twin, so that the digital twin can be used to output geological properties, fluid properties and wellbore data with timestamps for specific scenario requirements of engineering applications, so as to support the analysis of data at a specific time and achieve the ultimate goal of speeding up, improving efficiency, quality and increasing production.

[0030] In one embodiment, the time intervals between the multiple different first moments, the time intervals between the multiple different second moments, and the time intervals between the multiple different third moments are all as small as possible.

[0031] In this embodiment, the time intervals between multiple different first moments, the time intervals between multiple different second moments, and the time intervals between multiple different third moments may not be the same, but can all be set as small as possible, thereby improving data density, which is conducive to improving the accuracy of the digital twin of the target work area.

[0032] In one embodiment, the geological attributes include at least one of the following: structure, mechanical properties, sedimentary characteristics, and diagenetic properties.

[0033] In other embodiments, geological attributes may also include chemical properties, mineral composition, etc., which are not specifically limited in this application.

[0034] In one embodiment, the fluid characteristics include at least one of the following: distribution and flow properties of oil, gas and water fluids.

[0035] The flow properties may include fluidity, compressibility, and viscosity, etc., which are not specifically limited in this application.

[0036] In other embodiments, the fluid properties may also include: density, temperature, pressure and other properties of the oil, gas and water fluids, which may be specifically defined by those skilled in the art as needed.

[0037] In one embodiment, the wellbore data includes: drilling wellbore data, completed wellbore data and production wellbore data; wherein, the drilling wellbore data includes: the composition of the drilling tubing in the wellbore and the drilling construction parameters; the completed wellbore data includes: wellbore trajectory, wellbore structure, casing, production tubing and logging data; the production wellbore data includes: real-time production parameters.

[0038] By using the method of this embodiment, multiple 3D geological sub-models, 3D oil and gas reservoir sub-models, and 3D wellbore sub-models with time stamps are constructed, and multiple 3D geological sub-models, 3D oil and gas reservoir sub-models, and 3D wellbore sub-models are fused according to spatial and temporal relationships to obtain a digital twin of the target work area. The digital twin can then be used to obtain various attribute data in the digital twin according to the needs of a certain business scenario, providing integrated, one-stop data support for geological engineering for various working condition diagnosis, prediction, and solution optimization.

[0039] For example, for the geological attributes of position A at time T, the geological attribute data at time T can be extracted in the digital twin, and the geological attributes of position A can be extracted from the geological attribute data at time T based on the horizontal coordinate information and vertical depth information of position A, so as to be used for business goals such as data analysis of position A at time T.

[0040] refer to Figure 2 This embodiment provides a drilling trajectory design adjustment method, which is characterized by comprising the following steps based on the digital twin of the target work area obtained by using the above-mentioned oil and gas underground multi-twin fusion method:

[0041] S210: Based on the digital twin, according to the horizontal position information and vertical depth information of the initial drilling track, the geological properties, fluid characteristics and wellbore data of the location where the initial drilling track passes are extracted.

[0042] S220: Evaluate whether there is a risk of well leakage or well collapse in the depth domain of the target work area based on the geological attributes, evaluate whether the oil and gas reservoir passed by the initial drilling trajectory meets the preset requirements based on the fluid characteristics, and evaluate whether there is a risk of wellbore collision between adjacent wellbores based on the wellbore data.

[0043] S230: Adjusting the initially set drilling trajectory according to the evaluation results of the risk of well leakage and well collapse, and the risk of collision between the oil and gas reservoir and the wellbore.

[0044] For example, for a certain work area:

[0045] First, on the same structural framework, based on the structural model, geomechanical model, sedimentary model, diagenetic model, fluid distribution model and permeability model (the first two are for the entire depth domain, and the last four only require the reservoir section), a three-dimensional geological model of the work area is constructed using geological modeling software. The geological attributes at different times are attached through the spatial grid, that is, each geological attribute has a corresponding timestamp. The above model can also be constructed using automated geological modeling software.

[0046] Then, according to the temporal and spatial relationship between the oil and gas reservoirs and the strata, on the same structural framework as above, based on the distribution and flow property values ​​of oil, gas and water fluids at different times of attachment of the spatial grid, a three-dimensional oil and gas reservoir model of the work area is constructed using oil and gas reservoir numerical simulation software; the above model can also be constructed using automated oil and gas reservoir numerical simulation software.

[0047] Next, all the wellbore data of the work area are collected, and a three-dimensional wellbore model is constructed on the same structural grid as above to form a digital twin of the work area. Among them, the wellbore data of the completed wells can include the wellbore trajectory, wellbore structure, casing, production string, logging and other data at different times, the wellbore data of the production wells can also include real-time production parameters at different times, and the wellbore data of the drilling wells can also include the composition of the drilling string in the wellbore, real-time parameters of drilling construction, etc.

[0048] Finally, for the drilling trajectory optimization design business scenario of the work area, during the drilling trajectory design stage, the latest data can be extracted from the digital twin of the work area. Based on the preliminary designed wellbore trajectory, the geological attribute data, oil and gas reservoir attribute data and adjacent well data of all locations of the wellbore can be drilled from the digital twin, and the following evaluations can be made: based on the geological attributes, whether there are major risks such as well leakage and well collapse in the full depth domain or whether it is conducive to the effective control of the wellbore trajectory; based on the oil and gas reservoir attributes, whether the oil and gas reservoir traversed by the wellbore trajectory is the best; based on the adjacent well data, whether there is a risk of collision due to the close distance between wells; and production prediction can also be performed, etc. The drilling trajectory design plan is adjusted according to the evaluation results until the optimal geological and engineering goals are achieved, and the final trajectory design plan is formed.

[0049] In another embodiment, the above evaluation method and constraint conditions may also be solidified into software, and automated data drilling, automated solution evaluation and optimization may be performed through the software.

[0050] The method for fusing multiple underground twins of oil and gas proposed in the present invention can establish an underground digital twin for a certain oil and gas development area, namely, a three-dimensional geological model, a three-dimensional oil and gas reservoir numerical model, and a three-dimensional wellbore model with timestamp and spatial position information. By acquiring the attribute data in the digital twin, it provides integrated geological and engineering, one-stop data support for various working condition diagnosis, prediction and solution optimization.

[0051] The present embodiment provides an oil and gas underground multi-twin fusion device, including: a first data acquisition module, which is used to obtain the geological properties of the strata in the target work area at multiple different first moments based on a pre-constructed three-dimensional geological model, and obtain three-dimensional geological sub-models corresponding to the multiple first moments; a second data acquisition module, which is used to obtain the fluid properties of the fluid in the target work area at multiple different second moments based on a pre-constructed three-dimensional oil and gas reservoir model, and obtain a three-dimensional oil and gas reservoir sub-model corresponding to the multiple second moments; a third data acquisition module, which is used to obtain the wellbore data of the target work area at multiple different third moments based on a pre-constructed three-dimensional wellbore model, and obtain a three-dimensional wellbore sub-model corresponding to the multiple third moments; a model construction module, which is used to fuse the three-dimensional geological sub-models, three-dimensional oil and gas reservoir sub-models and three-dimensional wellbore sub-models corresponding to the first moment, the second moment and the third moment with the least time difference according to the spatial relationship, to obtain multiple three-dimensional sub-models of the target work area, and fuse the multiple three-dimensional sub-models according to the time relationship to obtain the digital twin of the target work area.

[0052] In another embodiment, the oil and gas underground multi-twin fusion device may also include a processor and a memory, and the processor is used to execute the first data acquisition module, the second data acquisition module, the third data acquisition module and the model building module stored in the memory.

[0053] This embodiment provides a drilling trajectory design and adjustment device, based on the digital twin of the target work area obtained by using the above-mentioned oil and gas underground multi-twin fusion device, including:

[0054] A data extraction module is used to extract geological properties, fluid properties and wellbore data of the location where the initial drilling track passes based on the digital twin and the horizontal position information and vertical depth information of the initial drilling track;

[0055] A property evaluation module is used to evaluate whether there is a risk of well leakage or well collapse in the depth domain of the target work area according to the geological attributes, evaluate whether the oil and gas reservoir passed by the initial drilling track meets the preset requirements according to the fluid properties, and evaluate whether there is a risk of wellbore collision between adjacent wellbores according to the wellbore data;

[0056] The track adjustment module is used to adjust the initially set drilling track according to the evaluation results of the risk of well leakage and well collapse, and the risk of collision between the oil and gas reservoir and the wellbore.

[0057] In another embodiment, the drilling trajectory design and adjustment device may further include a processor and a memory, wherein the processor is configured to execute a data extraction module, a characteristic evaluation module, and a trajectory adjustment module stored in the memory.

[0058] This embodiment provides a computing device, including a processor and a memory, wherein the memory stores a computer program. When the computer program is executed by the processor, the above-mentioned oil and gas underground multi-twin fusion method or the above-mentioned drilling trajectory design adjustment method is implemented.

[0059] In one embodiment, the computing device may include one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0060] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash memory (FLASH RAM). The memory is an example of a computer-readable medium.

[0061] This embodiment provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by the processor, the above-mentioned oil and gas underground multi-twin fusion method or the above-mentioned drilling trajectory design adjustment method is implemented.

[0062] The computer program may be implemented in any combination of one or more storage media, which may be readable signal media or readable storage media.

[0063] The readable storage medium may include, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) may include: an electrical connection with one or more conductors, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0064] The readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, wherein a readable computer program is carried. Such propagated data signals may take a variety of forms, for example, may include electromagnetic signals, optical signals, or any suitable combination of the above. The readable signal medium may also be any storage medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0065] The computer program contained on the storage medium may be transmitted using any appropriate medium, including, for example, wireless, wired, optical cable, RF, etc., or any suitable combination of the above.

[0066] The computer program for performing the operation of the present invention may be written in any combination of one or more programming languages. The programming language may include an object-oriented programming language, such as Java, C++, etc., and may also include a conventional procedural programming language, such as "C" language or similar programming languages. The computer program may be executed entirely on the user computing device, partially on the user device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any type of network (e.g., it may include a local area network or a wide area network), or it may be connected to an external computing device (e.g., using an Internet service provider to connect through the Internet).

[0067] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. When the terms "include" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or their combinations.

[0068] It should be noted that the terms "first", "second", etc. in the specification, claims and drawings of this application are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that the terms used in this way can be interchangeable under appropriate circumstances.

[0069] It should be understood that the exemplary embodiments in this specification can be implemented in a variety of different forms and should not be interpreted as being limited to the embodiments described herein. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps. These embodiments are provided to make the disclosure of this application thorough and complete, and to fully convey the concepts of these exemplary embodiments to those of ordinary skill in the art, and should not be construed as limitations on the present invention.

[0070] Although the spirit and principle of the present invention have been described with reference to several specific embodiments, it should be understood that the present invention is not limited to the disclosed specific embodiments, and the division of various aspects does not mean that the features in these aspects cannot be combined to benefit, and such division is only for the convenience of expression. The present invention is intended to cover various modifications and equivalent arrangements included in the spirit and scope of the attached claims.

Claims

1. A method for fusion of multiple twins in oil and gas underground, characterized in that: include: Based on the pre-built three-dimensional geological model, the geological attributes of the strata in the target work area at multiple different first moments are obtained to obtain three-dimensional geological sub-models corresponding to the multiple first moments; Based on the pre-constructed three-dimensional oil and gas reservoir model, the fluid characteristics of the fluid in the target work area at multiple different second moments are obtained to obtain a three-dimensional oil and gas reservoir sub-model corresponding to the multiple second moments; Based on the pre-constructed three-dimensional wellbore model, wellbore data of the target work area at multiple different third moments are obtained to obtain three-dimensional wellbore sub-models corresponding to the multiple third moments; According to the spatial relationship, the three-dimensional geological sub-model, three-dimensional oil and gas reservoir sub-model and three-dimensional wellbore sub-model corresponding to the first moment, the second moment and the third moment with the smallest time difference are fused to obtain multiple three-dimensional sub-models of the target work area. The multiple three-dimensional sub-models are fused according to the time relationship to obtain the digital twin of the target work area.

2. The oil and gas underground multi-twin fusion method according to claim 1, characterized in that: The time intervals between the multiple different first moments, the time intervals between the multiple different second moments, and the time intervals between the multiple different third moments are all as small as possible.

3. The oil and gas underground multi-twin fusion method according to claim 1, characterized in that: The geological attributes include at least one of the following: Structure, mechanical properties, sedimentary characteristics, and diagenetic properties.

4. The oil and gas underground multi-twin fusion method according to claim 1, characterized in that: The fluid property includes at least one of the following: Distribution and flow properties of oil, gas and water fluids.

5. The oil and gas underground multi-twin fusion method according to claim 1, characterized in that: The wellbore data includes: Wellbore data being drilled, wellbore data being completed and wellbore data being produced; The drilling wellbore data includes: the composition of the drilling string in the wellbore and the drilling construction parameters; The completed wellbore data includes: wellbore trajectory, wellbore structure, casing, production string and logging data; The production wellbore data includes: real-time production parameters.

6. A drilling trajectory design and adjustment method, characterized in that: The digital twin of the target work area obtained by using the oil and gas underground multi-twin fusion method according to any one of claims 1 to 5 comprises: Based on the digital twin, according to the horizontal position information and vertical depth information of the initial drilling track, the geological attributes, fluid characteristics and wellbore data of the location where the initial drilling track passes through are extracted; According to the geological attributes, it is evaluated whether there is a risk of well leakage or well collapse in the depth domain of the target work area; according to the fluid properties, it is evaluated whether the oil and gas reservoir passed by the initial drilling track meets the preset requirements; according to the wellbore data, it is evaluated whether there is a risk of wellbore collision between adjacent wellbores; The initially designed drilling trajectory is adjusted according to the evaluation results of the risk of well leakage and well collapse, and the risk of collision between the oil and gas reservoir and the wellbore.

7. An underground multi-twin fusion device for oil and gas, characterized in that: include: A first data acquisition module is used to acquire geological properties of the strata of the target work area at multiple different first moments based on a pre-built three-dimensional geological model, and obtain three-dimensional geological sub-models corresponding to the multiple first moments; A second data acquisition module is used to acquire the fluid characteristics of the fluid in the target work area at multiple different second moments based on the pre-built three-dimensional oil and gas reservoir model, and obtain a three-dimensional oil and gas reservoir sub-model corresponding to the multiple second moments; A third data acquisition module is used to acquire wellbore data of a target work area at a plurality of different third moments based on a pre-constructed three-dimensional wellbore model, and obtain a three-dimensional wellbore sub-model corresponding to the plurality of third moments; The model construction module is used to fuse the three-dimensional geological sub-models, three-dimensional oil and gas reservoir sub-models and three-dimensional wellbore sub-models corresponding to the first moment, the second moment and the third moment with the smallest time difference according to the spatial relationship, to obtain multiple three-dimensional sub-models of the target work area, and fuse the multiple three-dimensional sub-models according to the time relationship to obtain the digital twin of the target work area.

8. A drilling track design and adjustment device, characterized in that: The digital twin of the target work area obtained by using the oil and gas underground multi-twin fusion device according to claim 7 includes: A data extraction module is used to extract geological properties, fluid properties and wellbore data of the location where the initial drilling track passes based on the digital twin and the horizontal position information and vertical depth information of the initial drilling track; A property evaluation module is used to evaluate whether there is a risk of well leakage or well collapse in the depth domain of the target work area according to the geological attributes, evaluate whether the oil and gas reservoir passed by the initial drilling track meets the preset requirements according to the fluid properties, and evaluate whether there is a risk of wellbore collision between adjacent wellbores according to the wellbore data; The track adjustment module is used to adjust the initially set drilling track according to the evaluation results of the risk of well leakage and well collapse, and the risk of collision between the oil and gas reservoir and the wellbore.

9. A computing device, characterized in that It includes a processor and a memory, in which a computer program is stored. When the computer program is executed by the processor, the oil and gas underground multi-twin fusion method as described in any one of claims 1 to 5 or the drilling trajectory design adjustment method as described in claim 6 is implemented.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by the processor, the oil and gas underground multi-twin fusion method as described in any one of claims 1 to 5 or the drilling trajectory design adjustment method as described in claim 6 is implemented.

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