Hydrocarbon subterranean multiple twin fusion method and drilling trajectory design adjustment method

Abstract

The application provides an oil and gas underground multiple twin body fusion method and a drilling track design adjustment method. The oil and gas underground multiple twin body fusion method comprises the following steps: obtaining a three-dimensional geological sub-model corresponding to a plurality of first moments based on a pre-constructed three-dimensional geological model; obtaining a three-dimensional oil and gas reservoir sub-model corresponding to a plurality of second moments based on a pre-constructed three-dimensional oil and gas reservoir model; obtaining a three-dimensional wellbore sub-model corresponding to a plurality of third moments based on a pre-constructed three-dimensional wellbore model; and fusing the three-dimensional geological sub-model, the three-dimensional oil and gas reservoir sub-model and the three-dimensional wellbore sub-model according to a spatial relationship to obtain a digital twin body of a target work area. For an oil and gas development area, the digital twin body can be used to output geological properties, fluid characteristics and wellbore data with time stamps according to specific scene requirements of engineering application, so as to achieve the final purpose of speeding up, improving efficiency, improving quality and increasing production.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oil and gas exploration and development, and particularly relates to an oil and gas underground multi-twin body fusion method and a drilling track design adjustment method. BACKGROUND

[0002] In related technologies, some provide a method of fusing each table in a digital twin data set, some provide a method of assembling a model by module decomposition, model coupling degree analysis, and analysis of computing resources and time scale of model running on a digital twin object, and some provide a method of establishing a digital twin model according to different dimension data of a physical product. However, none of the related technologies involves a digital twin body fusion technology for oil and gas multi-specialty, multi-dimension and multi-frequency.

[0003] Therefore, to meet the increasingly urgent data analysis requirements of geological engineering integration and real-time, an oil and gas underground multi-twin body fusion method must be provided. SUMMARY

[0004] The main purpose of the present application is to provide an oil and gas underground multi-twin body fusion method and a drilling track design adjustment method to realize the fusion of oil and gas underground multi-twin bodies.

[0005] The present application provides an oil and gas underground multi-twin body fusion method, comprising: obtaining geological properties of a target work area at a plurality of different first time points based on a pre-constructed three-dimensional geological model, to obtain a three-dimensional geological sub-model corresponding to each of the plurality of first time points; obtaining fluid properties of a target work area at a plurality of different second time points based on a pre-constructed three-dimensional oil and gas reservoir model, to obtain a three-dimensional oil and gas reservoir sub-model corresponding to each of the plurality of second time points; obtaining wellbore data of a target work area at a plurality of different third time points based on a pre-constructed three-dimensional wellbore model, to obtain a three-dimensional wellbore sub-model corresponding to each of the plurality of third time points; and fusing 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 time point, the second time point and the third time point with the least time difference, respectively, to obtain a plurality of three-dimensional sub-models of the target work area, and fusing the plurality of three-dimensional sub-models according to the time relationship to obtain a digital twin body of the target work area.

[0006] In an embodiment, the time intervals between the plurality of different first time points, the time intervals between the plurality of different second time points, and the time intervals between the plurality of different third time points are as small as possible.

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

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

[0009] In an embodiment, the wellbore data includes: drilling wellbore data, completed wellbore data and production wellbore data; wherein the drilling wellbore data includes: drilling string configuration and drilling operation parameters in the wellbore; the completed wellbore data includes: well trajectory, well structure, casing, production string and well logging data; and the production wellbore data includes: real-time production parameters.

[0010] The present application provides a drilling trajectory design adjustment method, based on the digital twin of the target work area obtained by the oil and gas underground multiple twin fusion method described above, comprising: based on the digital twin, according to the horizontal position information and vertical depth information of the initially designed drilling trajectory, extracting the geological properties, fluid properties and wellbore data of the position through which the initially designed drilling trajectory passes; according to the geological properties, evaluating whether there is a well leakage and well collapse risk in the depth domain of the target work area, according to the fluid properties, evaluating whether the oil and gas reservoirs through which the initially designed drilling trajectory passes meet the preset requirements, and according to the wellbore data, evaluating whether there is a wellbore collision risk between adjacent wellbores; according to the evaluation results of the well leakage and well collapse risk, the oil and gas reservoir and the wellbore collision risk, the initially designed drilling trajectory is adjusted.

[0011] The present application provides an oil and gas underground multiple twin fusion device, comprising: a first data acquisition module for acquiring the geological properties of the strata of the target work area at a plurality of different first times based on a pre-constructed three-dimensional geological model, obtaining a three-dimensional geological sub-model corresponding to each of the plurality of first times; a second data acquisition module for acquiring the fluid properties of the fluid in the target work area at a plurality of different second times based on a pre-constructed three-dimensional oil and gas reservoir model, obtaining a three-dimensional oil and gas reservoir sub-model corresponding to each of the plurality of second times; a third data acquisition module for acquiring wellbore data of the target work area at a plurality of different third times based on a pre-constructed three-dimensional wellbore model, obtaining a three-dimensional wellbore sub-model corresponding to each of the plurality of third times; a model construction module for fusing 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 time, the second time and the third time respectively with the least time difference according to the spatial relationship, obtaining a plurality of three-dimensional sub-models of the target work area, and fusing the plurality of three-dimensional sub-models according to the time relationship to obtain a digital twin of the target work area.

[0012] The present application provides a drilling track design adjustment device based on a digital twin of a target work area obtained by the oil and gas underground multi-twin fusion device, comprising: a data extraction module configured to extract geological properties, fluid characteristics and wellbore data of a location penetrated by a preliminary drilling track based on the digital twin and horizontal position information and vertical depth information of the preliminary drilling track; a characteristic evaluation module configured to evaluate whether there is a well leakage and collapse risk in the depth domain of the target work area based on the geological properties, whether the oil and gas reservoir penetrated by the preliminary drilling track meets a preset requirement based on the fluid characteristics, and whether there is a wellbore collision risk between adjacent wellbores based on the wellbore data; and a track adjustment module configured to adjust the preliminary drilling track based on the evaluation results of the well leakage and collapse risk, the oil and gas reservoir and the wellbore collision risk.

[0013] The present application provides a computing device comprising a processor and a memory, wherein the memory stores a computer program which, when executed by the processor, implements the oil and gas underground multi-twin fusion method or the drilling track design adjustment method.

[0014] The present application provides a computer-readable storage medium, wherein the storage medium stores a computer program which, when executed by the processor, implements the oil and gas underground multi-twin fusion method or the drilling track design adjustment method.

[0015] By using the method of the present embodiment, for an oil and gas development area, a three-dimensional geological model / three-dimensional oil and gas reservoir model and a three-dimensional wellbore model can be fused into a digital twin, so that the digital twin can output geological properties, fluid characteristics and wellbore data with time stamps according to specific scene requirements of engineering applications, to support analysis of data at a specific time, and achieve the ultimate goal of speeding up, improving efficiency, improving quality and increasing production. BRIEF DESCRIPTION OF DRAWINGS

[0016] The drawings accompanying the specification of the present application serve to provide a further understanding of the present application, and the illustrative embodiments of the present application and their descriptions serve to explain the present application, and do not constitute an improper limitation of the present application. In the drawings:

[0017] Figure 1 A flowchart of the oil and gas underground multi-twin fusion method according to an embodiment of the present application;

[0018] Figure 2 A flowchart of the drilling track design adjustment method according to an embodiment of the present application. DETAILED DESCRIPTION

[0019] It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other in the case of no conflict. The present application will be described in detail below with reference to the drawings and in combination with the embodiments.

[0020] Reference Figure 1 The present embodiment provides an oil and gas underground multiple twin body fusion method, comprising the following steps:

[0021] S110: Based on the pre-constructed three-dimensional geological model, the geological properties of the stratum of the target work area at a plurality of different first time points are obtained, and a three-dimensional geological sub-model corresponding to each of the plurality of first time points is obtained.

[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 a plurality of different second time points are obtained, and a three-dimensional oil and gas reservoir sub-model corresponding to each of the plurality of second time points is obtained.

[0023] S130: Based on the pre-constructed three-dimensional wellbore model, the wellbore data of the target work area at a plurality of different third time points are obtained, and a three-dimensional wellbore sub-model corresponding to each of the plurality of third time points is obtained.

[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 time point, the second time point and the third time point with the least time difference are fused respectively, and a plurality of three-dimensional sub-models of the target work area are obtained. The plurality of three-dimensional sub-models are fused according to the time relationship to obtain a digital twin body of the target work area.

[0025] In the present embodiment, the three-dimensional geological model, the three-dimensional oil and gas reservoir model and the three-dimensional wellbore model can be pre-constructed for the target work area, and then the geological properties, the fluid characteristics and the 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 according to the geological measured data, the oil and gas reservoir measured data and the wellbore measured data.

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

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

[0028] In the embodiment, a digital twin of the target tool can be constructed using a modeling tool, a simulation tool and a visualization tool, so as to facilitate business communication of business personnel in different fields based on the same perspective, improve communication efficiency and consistency, and realize geological engineering integration.

[0029] By using the method of the embodiment, for an oil and gas development area, a three-dimensional geological model / three-dimensional oil and gas reservoir model and a three-dimensional wellbore model can be integrated into one digital twin, so that the digital twin can output geological properties, fluid properties and wellbore data with time stamps according to specific scene requirements of engineering application, so as to support analysis of data at a specific time and achieve the ultimate goal of speeding up, improving efficiency, improving quality and increasing production.

[0030] In an embodiment, the time intervals between the plurality of different first time points, the time intervals between the plurality of different second time points, and the time intervals between the plurality of different third time points are as small as possible.

[0031] In the embodiment, the time intervals between the plurality of different first time points, the time intervals between the plurality of different second time points, and the time intervals between the plurality of different third time points can not be the same, but can be set as small as possible, so as to improve the data density and improve the accuracy of the digital twin of the target work area.

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

[0033] In other embodiments, the geological properties can also include chemical properties, mineral composition, etc., which are not limited in the present application.

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

[0035] The flow properties can include fluidity, compressibility and viscosity, etc., which are not limited in the present application.

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

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

[0038] By using the method of the embodiment, a plurality of three-dimensional geological sub-models, three-dimensional oil and gas reservoir sub-models and three-dimensional wellbore sub-models are fused according to spatial relationships and time relationships to obtain a digital twin of the target work area by constructing a plurality of three-dimensional geological sub-models, three-dimensional oil and gas reservoir sub-models and three-dimensional wellbore sub-models with time stamps. Further, various attribute data in the digital twin can be obtained for a certain business scenario requirement, and the digital twin can provide integrated and one-stop data support for geological engineering for various working condition diagnosis, prediction and scheme optimization.

[0039] For example, for the geological attribute of position A at time T, the geological attribute data at time T can be extracted in the digital twin, and the geological attribute of position A is extracted from the geological attribute data at time T according to the horizontal coordinate information and the vertical depth information of position A for data analysis of position A at time T and other business targets.

[0040] Reference Figure 2 The embodiment provides a drilling trajectory design adjustment method, characterized in that, based on the digital twin of the target work area obtained by the oil and gas underground multi-twin fusion method, the method comprises the following steps:

[0041] S210: Based on the digital twin, the geological attribute, fluid property and wellbore data of the position through which the initially designed drilling trajectory pass are extracted according to the horizontal position information and the vertical depth information of the initially designed drilling trajectory.

[0042] S220: According to the geological attribute, it is evaluated whether there is a risk of lost circulation and well collapse in the depth domain of the target work area, according to the fluid property, it is evaluated whether the oil and gas reservoir through which the initially designed drilling trajectory passes meets the preset requirements, and according to the wellbore data, it is evaluated whether there is a risk of wellbore collision between adjacent wellbores.

[0043] S230: According to the evaluation results of the risks of lost circulation and well collapse, oil and gas reservoir and wellbore collision, the initially designed drilling trajectory is adjusted.

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

[0045] Firstly, on the same tectonic framework, based on the tectonic model, the geomechanical model, the sedimentary model, the diagenetic model, the fluid distribution model and the permeability model (the former two are full-depth domain, and the latter four are only required for reservoir section), a three-dimensional geological model of the work area is constructed by using a geological modeling software, and geological attributes at different times are attached to the space grid, that is, each geological attribute has a corresponding time stamp; the above models can also be constructed by using an automatic geological modeling software.

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

[0047] Next, all wellbore data for the work area are collected, and a three-dimensional wellbore model is constructed on the same structural lattice as described above, forming a digital twin of the work area. The wellbore data for completed wells can include wellbore trajectories, wellbore structures, casing, production tubing, logging data, etc., at different times. The wellbore data for production wells can also include real-time production parameters at different times. The wellbore data for ongoing drilling can also include the drilling tubing configuration within the wellbore and real-time drilling parameters.

[0048] Finally, for the drilling trajectory optimization design scenario in this work area, during the drilling trajectory design phase, the latest data can be extracted from the digital twin of the work area. Based on the preliminary wellbore trajectory design, geological attribute data, oil and gas reservoir attribute data, and adjacent well data for all locations traversed by the wellbore are extracted from the digital twin. This allows for the following assessments: Based on geological attributes, assess whether there are significant risks such as well leakage or well collapse across the entire depth domain, or whether it is conducive to effective wellbore trajectory control; based on oil and gas reservoir attributes, assess whether the oil and gas reservoir traversed by the wellbore trajectory is optimal; based on adjacent well data, assess whether there is a risk of collision due to excessively close well spacing; and also perform production prediction, etc. Based on the assessment results, the drilling trajectory design scheme is adjusted until the optimal geological and engineering objectives are achieved, forming the final trajectory design scheme.

[0049] In another implementation, the above evaluation methods and constraints can be embedded in the software, enabling automated data drilling, automated scheme evaluation, and optimization.

[0050] The proposed method for fusing multiple underground oil and gas twins can establish underground digital twins for a specific 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 timestamps and spatial location information. By acquiring attribute data from the digital twins, it can provide integrated geological and engineering data support for diagnosis, prediction, and scheme optimization for various working conditions.

[0051] This embodiment provides a multi-twin fusion device for underground oil and gas, comprising: a first data acquisition module, used to acquire 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 three-dimensional geological sub-models corresponding one-to-one with the multiple first moments; a second data acquisition module, used to acquire the fluid characteristics 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 three-dimensional oil and gas reservoir sub-models corresponding one-to-one with the multiple second moments; a third data acquisition module, used to acquire wellbore data of the target work area at multiple different third moments based on a pre-constructed three-dimensional wellbore model, and obtain three-dimensional wellbore sub-models corresponding one-to-one with the multiple third moments; and a model construction module, used to fuse the three-dimensional geological sub-model, three-dimensional oil and gas reservoir sub-model, and three-dimensional wellbore model corresponding to the first moment, second moment, and third moment with the least time difference according to spatial relationships, to obtain multiple three-dimensional sub-models of the target work area, and to fuse the multiple three-dimensional sub-models according to temporal relationships to obtain a digital twin of the target work area.

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

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

[0054] The data extraction module is used to extract the geological properties, fluid characteristics, and wellbore data of the locations traversed by the initial drilling trajectory based on the digital twin and according to the horizontal position information and vertical depth information of the initial drilling trajectory.

[0055] The characteristic evaluation module is used to evaluate whether there is a risk of well leakage or well collapse in the depth range of the target work area based on the geological attributes, to evaluate whether the oil and gas reservoir traversed by the initial drilling trajectory meets the preset requirements based on the fluid characteristics, and to evaluate whether there is a risk of well collision between adjacent wells based on the wellbore data.

[0056] The trajectory adjustment module is used to adjust the initial drilling trajectory based on the assessment results of the well leakage and well collapse risks, oil and gas reservoir and wellbore collision risks.

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

[0058] This embodiment provides a computing device, including a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, it implements the above-mentioned method for fusion of multiple underground oil and gas twins or the above-mentioned method for adjusting drilling trajectory design.

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

[0060] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash FLASH RAM). Memory is an example of computer-readable media.

[0061] This embodiment provides a computer-readable storage medium storing a computer program. When the computer program is executed by the processor, it implements the above-described method for fusion of multiple underground oil and gas twins or the above-described method for adjusting drilling trajectory design.

[0062] Computer programs can use any combination of one or more storage media. The storage media can be a readable signal medium or a readable storage medium.

[0063] Readable storage media may include, for example, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatuses, or devices, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media may include: electrical connections having one or more wires, portable disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0064] A readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying a readable computer program. This propagated data signal may take various forms, such as electromagnetic signals, optical signals, or any suitable combination thereof. A readable signal medium may also be any storage medium other than a readable storage medium that can 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 can be transmitted using any suitable medium, such as wireless, wired, optical fiber, RF, etc., or any suitable combination thereof.

[0066] Computer programs for performing the operations of this invention can be written in any combination of one or more programming languages. Programming languages ​​may include object-oriented programming languages—such as Java, C++, etc.—as well as conventional procedural programming languages—such as the "C" language or similar programming languages. The computer program may execute entirely on the user's computing device, partially on the user's device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device may be connected to the user's computing device via any type of network (e.g., including a local area network or a wide area network), or it may be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0067] It should be noted that the terminology used herein is for the purpose of describing particular implementations only and is not intended to limit the exemplary implementations according to this application. When the terms “comprising” and / or “including” are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or combinations thereof.

[0068] It should be noted that the terms "first," "second," etc., used in the specification, claims, and drawings of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such terms can be used interchangeably where appropriate.

[0069] It should be understood that the exemplary embodiments described herein can be implemented in many different forms and should not be construed as being limited to the embodiments set forth herein. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps. These embodiments are provided so that the disclosure of this application is thorough and complete, and that the concept of these exemplary embodiments is fully conveyed to those skilled in the art, and should not be construed as limiting the invention.

[0070] While the spirit and principles of the invention have been described with reference to several specific embodiments, it should be understood that the invention is not limited to the disclosed specific embodiments, and the division of aspects does not imply that features in these aspects cannot be combined for benefit; such division is merely for ease of description. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims

1. A method for designing and adjusting drilling trajectories, characterized in that, include: Based on a pre-built three-dimensional geological model, the geological properties of the strata in the target work area at multiple different first moments are obtained, resulting in three-dimensional geological sub-models that correspond one-to-one with the multiple first moments. Based on a 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, and a three-dimensional oil and gas reservoir sub-model corresponding to each of the multiple second moments is obtained. Based on the pre-built three-dimensional wellbore model, the wellbore data of the target work area at multiple different third moments are obtained, and a three-dimensional wellbore sub-model corresponding to each of the multiple third moments is obtained. Based on spatial relationships, the three-dimensional geological sub-model, three-dimensional oil and gas reservoir sub-model, and three-dimensional wellbore model corresponding to the first, second, and third moments with the least time difference are fused together to obtain multiple three-dimensional sub-models of the target work area. The multiple three-dimensional sub-models are then fused together according to time relationships to obtain a digital twin of the target work area. Based on the digital twin, the geological properties, fluid characteristics, and wellbore data of the locations traversed by the initial drilling trajectory are extracted according to the horizontal position information and vertical depth information of the initial drilling trajectory. Based on the geological attributes, assess whether there is a risk of well leakage or well collapse in the depth range of the target work area; based on the fluid characteristics, assess whether the oil and gas reservoir traversed by the initial drilling trajectory meets the preset requirements; based on the wellbore data, assess whether there is a risk of wellbore collision between adjacent wellbores. Based on the assessment results of the well leakage and well collapse risks, oil and gas reservoir and wellbore collision risks, the initial drilling trajectory is adjusted.

2. The drilling trajectory design and adjustment method according to claim 1, characterized in that, The geological properties include at least one of the following: Structure, mechanical properties, sedimentary characteristics, diagenetic properties.

3. The drilling trajectory design and adjustment method according to claim 1, characterized in that, The fluid properties include at least one of the following: Distribution and flow properties of oil, gas and water fluids.

4. The drilling trajectory design and adjustment method according to claim 1, characterized in that, The wellbore data includes: Data for drilling wellbore, data for completed wellbore, and data for production wellbore; The drilling data includes: the drilling string configuration and drilling parameters within the wellbore. The completed wellbore data includes: wellbore trajectory, well structure, casing, production string, and logging data; The production wellbore data includes: real-time production parameters.

5. A drilling trajectory design adjustment device, characterized in that, include: The first data acquisition module is used to acquire the geological properties of the strata in the target work area at multiple different first moments based on a pre-built three-dimensional geological model, and obtain a three-dimensional geological sub-model corresponding to each of the multiple first moments. The 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 each of the multiple second moments. The third data acquisition module is used to acquire wellbore data of the target work area at multiple different third moments based on a pre-built three-dimensional wellbore model, and obtain a three-dimensional wellbore sub-model corresponding to each of the multiple third moments. The model building module is used to fuse the three-dimensional geological sub-model, three-dimensional oil and gas reservoir sub-model and three-dimensional wellbore model corresponding to the first, second and third time moments with the least time difference according to spatial relationships, to obtain multiple three-dimensional sub-models of the target work area. The multiple three-dimensional sub-models are then fused according to time relationships to obtain a digital twin of the target work area. The data extraction module is used to extract the geological properties, fluid characteristics, and wellbore data of the locations traversed by the initial drilling trajectory based on the digital twin and according to the horizontal position information and vertical depth information of the initial drilling trajectory. The characteristic evaluation module is used to evaluate whether there is a risk of well leakage or well collapse in the depth range of the target work area based on the geological attributes, to evaluate whether the oil and gas reservoir traversed by the initial drilling trajectory meets the preset requirements based on the fluid characteristics, and to evaluate whether there is a risk of well collision between adjacent wells based on the wellbore data. The trajectory adjustment module is used to adjust the initial drilling trajectory based on the assessment results of the well leakage and well collapse risks, oil and gas reservoir and wellbore collision risks.

6. A computing device, characterized in that, It includes a processor and a memory, wherein the memory stores a computer program that, when executed by the processor, implements the drilling trajectory design adjustment method as described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the drilling trajectory design and adjustment method as described in any one of claims 1 to 4.

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