Fracturing integrated digital twinning characterization method

Abstract

The invention provides a fracturing integrated digital twinning characterization method. The characterization method comprises the following steps: carrying out model data processing; carrying out oil reservoir environment fusion technology research on the underground model, and carrying out space fusion on a reservoir and a shaft in an underground three-dimensional field; and digital twinning integration is realized. Cross-business and cross-process full-life-cycle data integration is implemented, virtual-real interaction of digital twinning is achieved, and the difficult factors that at present, the number of fracturing construction departments is large, the related business field is complex, and ground and underground integrated means are lacked are effectively overcome.

Description

Technical Field

[0001] This invention relates to the technical field of oil and gas field fracturing engineering, and in particular to an integrated digital twin characterization method for fracturing. Background Technology

[0002] Representation refers to the way information is presented. Using data to represent entities and processes has begun to be applied on a large scale in industrial production. Digital twins are a digital representation of the real world, and their representation objects include the appearance, attributes, production processes, and changes in the state of entities.

[0003] In oil and gas field fracturing, it is necessary to fully integrate the strengths of various disciplines such as geology, reservoir, wellbore, and surface operations to obtain real-time and comprehensive production data, adjust construction parameters in a timely manner, optimize the construction process, and monitor the fracturing operation in a full-time and all-round manner. Currently, fracturing design and construction generally adopt traditional multi-domain manual collaboration methods, involving many business departments and complex technical means, and lacking integrated surface and subsurface methods, making it difficult to effectively improve fracturing technology. Adopting digital twin technology to integrate surface and subsurface representation is of positive significance for improving operational efficiency and providing real-time optimization strategies for shale oil fracturing. Its core technology is digital twins and real-time data processing, and its implementation core is the construction of an integrated geological and engineering twin model. Through digital twin representation, the changes in surface stations, wellheads, wellbores, and subsurface reservoirs can be dynamically presented, supporting real-time optimization of the fracturing process.

[0004] The closest technology to this patent is the current digital twin ground scene construction technology for fracturing operations. Its purpose is to achieve intelligent application of on-site data in oil and gas field fracturing projects, providing a 3D display of the real-time status of equipment, underground wellbores, and formations in oil and gas field fracturing projects, and offering ground construction personnel an intuitive data presentation method.

[0005] Chinese patent application CN202211270116.8 discloses a fracturing engineering digital twin data platform, comprising a data acquisition module, a fracturing equipment operation database, a digital twin model database, a data processing module, and a digital twin data display component library. The data acquisition module collects internal data from physical sensing equipment to form the fracturing equipment operation database and the digital twin model database, and feeds this data back to the digital twin data display component library, enabling external access to the platform's data. This data platform operates within a fracturing engineering digital twin system, managing and mobilizing various data points in the fracturing project and providing a data foundation for other platforms within the fracturing engineering digital twin system.

[0006] Chinese patent application number CN202311171422.0 relates to a digital twin system based on a fracturing well factory operation line. This system uses a digital well site design platform to digitally design the well site, improving its intuitive representation. An equipment database within an engineering construction budget system stores data on virtual entities used within the virtual well site, calculating the required construction costs and time based on the bill of materials. Finally, a digital twin operation and maintenance system, combined with the 3D digital design drawings of the well site, enables convenient and intuitive overall monitoring of the fracturing well factory operation line.

[0007] Chinese patent application CN202211258911.5 discloses a web-based data twin operation and maintenance system for fracturing equipment. This system pushes graphical and three-dimensional data content on equipment status, alarm information, and statistical data, establishes a pre-alarm / warning mechanism, and forms a standardized operation and maintenance model. It monitors and analyzes fracturing equipment from multiple dimensions. The equipment monitoring module monitors equipment including electric fracturing skids, fracturing trucks, high and low pressure manifold skids, diversion manifolds, electric sand mixing skids, electric mixing skids, fluid supply skids, acid supply skids, carbon dioxide booster skids, 35KV switchgear, 35KV / 10KV transformers, fluid tanks, acid tanks, sand tanks, water storage tanks, and gatehouses / duty rooms. Summary of the Invention

[0008] In view of the above problems, the present invention is proposed to provide an integrated digital twin characterization method for fracturing that overcomes or at least partially solves the above problems.

[0009] According to one aspect of the present invention, a fracturing integrated digital twin characterization method is provided, the characterization method comprising:

[0010] Perform model data processing;

[0011] Research on geological environment fusion technology for underground models, spatially fusion of reservoir and wellbore in underground three-dimensional field;

[0012] To achieve digital twin integration.

[0013] Optionally, the geological model data processing specifically includes:

[0014] Processing reservoir models;

[0015] Processing wellbore models;

[0016] Handling ground equipment and facilities at the site.

[0017] Optionally, the reservoir model being processed specifically includes:

[0018] This study analyzes the model structure and entity content of mainstream reservoir modeling software, researches reservoir model output data, collects and organizes existing reservoir output data, and develops algorithms to parse the data volume.

[0019] The reservoir model was solidified, its surface area was reduced, and damaged surfaces were repaired.

[0020] The model generated by the modeling software is reconstructed into a general three-dimensional geometric mesh model.

[0021] Optionally, the analysis of the model structure and entity content of mainstream reservoir modeling software, the study of reservoir model result data, the collection and organization of existing reservoir result data, and the development of algorithms to parse the data volume specifically include:

[0022] By selecting different reservoir attributes from the structural model data related to strata, reservoirs, faults, and fault blocks, and reorganizing them according to the business structure, a data foundation for reservoir models is provided.

[0023] Optionally, the process of solidifying the reservoir model involves reducing its surface area and repairing damaged surfaces. Specifically, this includes: segmenting and cross-sectionalizing the reservoir model according to the required spatial relationships; establishing the reservoir model using a surface reconstruction estimation algorithm; and predicting unknown areas to fill in blank or missing information within the reservoir model.

[0024] Optionally, the step of reconstructing the model generated by the modeling software into a general three-dimensional geometric mesh model specifically includes:

[0025] Multiple geological units or data sources are split, stitched together, and arranged to form a discrete grid for the geological model;

[0026] Construct a normal map for each vertex of the mesh;

[0027] Color each vertex of the mesh;

[0028] Create a lighting model for the surface of the 3D model;

[0029] Texture mapping uses texture images to apply color and texture information to the surface of a 3D model.

[0030] Optionally, the processing of the wellbore model specifically includes:

[0031] Collect wellbore trajectory data: Collect basic information about the wellbore and well trajectory data, including but not limited to well name, wellhead coordinates, core filling elevation, completed well depth, well inclination data, etc. Utilize data appending, segmentation, slicing, drilling, rotation and other technologies to solve the coupling between granularity and amplitude under different spatiotemporal scale models in the later stage. Put the data into the database and write data interfaces to provide twin calls.

[0032] Drawing the wellbore trajectory: Taking the wellhead as the zero point, the coordinate increments corresponding to each measuring point calculated using the measured data are accumulated, and then the actual coordinate values ​​of each measuring point are obtained, that is, the spatial data of the wellbore trajectory shape.

[0033] Wellbore structure model: Collect five types of raw data: single well basic information, drilling geological information, production formation, wellbore structure data (casing), and production tubing structure data. Logically process the raw data, taking the single well basic information as the center, and combine it with drilling geological information, wellbore structure data, production tubing structure data, and well completion production formation. Divide the five types of raw data into 17 items, combine the equipment model components with the 17 items of wellbore data, and display various equipment information on the three-dimensional model of the wellbore.

[0034] Optionally, the ground equipment and facilities of the processing station include:

[0035] Based on data such as the layout and equipment of the ground site, the 3D models of the equipment from the above steps are arranged to couple the reservoir, wellbore, and surface dynamic models into an integrated digital twin. A two-way mapping is then performed between the numerical model and the physical entity, while the underground model is integrated with the geological environment. Utilizing reservoir, wellbore, site equipment, and GIS spatial data, core technologies such as full-domain perception, multi-source data fusion, efficient modeling, real-time dynamic simulation, and visualization are employed to achieve integrated display and collaborative services, further providing comprehensive, multi-faceted dynamic simulation and real-time optimization for fracturing operations.

[0036] Optionally, the research on geological environment fusion technology for the underground model, which spatially fuses the reservoir and wellbore in the underground three-dimensional field, specifically includes:

[0037] It directly reflects the state of geological entities in three-dimensional space, and expands the simulation analysis of the working conditions of real elements in three-dimensional space;

[0038] Identify the types of business entities in digital twins, establish the relationships between various entities in the twin, and the relationship and interaction between numerical models and business data;

[0039] The numerical model is organically combined with various business attribute data, and the numerical model and entity are linked in turn.

[0040] The relationship between numerical models and entities refers to the interactive relationship between the numerical model and the site entity model built by the 3D modeling software, as well as the relationship between the attribute data of the numerical model and the established 3D graphics rendering body.

[0041] The changes in the twin are dynamically presented in sync with the real-time attribute values ​​over the time step.

[0042] This invention provides an integrated digital twin characterization method for fracturing, comprising: processing model data; conducting geological environment fusion technology research on the underground model, spatially fusing the reservoir and wellbore in a three-dimensional underground field; and achieving digital twin integration. It implements cross-business, cross-process, and full lifecycle data integration, realizing virtual-real interaction of the digital twin, effectively overcoming the current difficulties such as multiple fracturing construction departments, complex business areas involved, and a lack of integrated surface and underground methods.

[0043] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0044] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 A flowchart illustrating an integrated digital twin characterization method for fracturing provided in an embodiment of the present invention;

[0046] Figure 2 This is a schematic diagram of a slice provided in an embodiment of the present invention;

[0047] Figure 3 A schematic diagram of a reference frame provided for an embodiment of the present invention;

[0048] Figure 4 This is a schematic diagram illustrating the implementation of digital twin integration provided in an embodiment of the present invention. Detailed Implementation

[0049] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0050] The terms "comprising" and "having," and any variations thereof, in the specification, embodiments, claims, and drawings of this invention are intended to cover non-exclusive inclusion, such as including a series of steps or units.

[0051] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0052] The purpose of this invention is to provide an integrated characterization method for fracturing processes based on digital twins, which performs real-time processing of entity data, establishes data twins of relevant entities on the ground and underground, realizes spatial coupling between data and models, and achieves the goal of integrated control of the fracturing process.

[0053] This invention presents a novel method for establishing an integrated digital twin model for fracturing. This method more accurately simulates each stage of downhole fracturing operations and integrates and processes multi-source data to achieve integrated display and linkage services with reservoir dynamics, further providing comprehensive, multi-angle dynamic simulation and real-time optimization for fracturing operations.

[0054] Based on the dynamic models of the reservoir, wellbore, and surface, an integrated model is formed by coupling. The digital twin and the physical entity are mapped bidirectionally. Through data analysis, machine learning, fault diagnosis and prediction, simulation and verification are carried out on the digital twin to achieve closed-loop optimization of the algorithm's interaction between the virtual and real worlds.

[0055] like Figure 1 As shown, the present invention is implemented using the following technical solution: an integrated digital twin characterization method for fracturing, comprising the following steps:

[0056] Step 1: Processing model data

[0057] Model data processing workflow: Based on the reservoir optimization theory and technology workflow, a workflow for the entire process of reservoir model data twin representation is established: business model construction, model solidification, and secondary model construction.

[0058] I. Reservoir Model Processing

[0059] 1. Collect and organize existing reservoir data, and develop algorithms to parse the data. Reorganize the structural model data related to strata, reservoirs, faults, and fault blocks according to the operational structure to provide a data foundation for reservoir models.

[0060] 2. Solidify the reservoir model by reducing its surface area, repairing damaged surfaces, and decreasing its size. Segment and profile the reservoir model according to the required spatial relationships. Establish the reservoir model using a surface reconstruction estimation algorithm and predict unknown areas to fill in missing or blank information within the model.

[0061] 3. Secondary model construction:

[0062] The model generated by the modeling software is reconstructed into a general 3D geometric mesh model, specifically including:

[0063] (1) Different geological units or data sources are split, stitched together, and arranged to form a discrete grid for the geological model;

[0064] (2) Construct a normal map for each vertex of the mesh;

[0065] (3) Color each vertex of the mesh;

[0066] (4) Create a lighting model for the surface of the 3D model;

[0067] (5) Texture mapping: Apply color and texture information to the surface of a 3D model using texture images to provide a more realistic appearance.

[0068] II. Wellbore Model Processing

[0069] Based on well trajectory data, well structure data, and well geological data, a well entity business model is constructed to meet the needs of automated drawing of three-dimensional well trajectory and well elements, forming a visualized three-dimensional graphic model of the well trajectory. By integrating three-dimensional modeling technology, a three-dimensional model of well elements is automatically and dynamically constructed, enabling three-dimensional spatial integration and display with ground models, geological models, and numerical models.

[0070] By using data such as single-well production information and wellbore structure, a dynamic wellbore model is established to characterize the flow regime and tubing stress during the entire wellbore lifting process. Through data fusion, a wellbore twin is constructed to achieve wellbore numerical simulation and establish a visual twin of the wellbore, tubing, and pump, enabling real-time monitoring and decision-making regarding the dynamics of wellbore operation.

[0071] In accordance with the requirements of integration, data from various stages, models, and scenarios must be organized and processed in a unified manner. This involves operations such as drill-down, slicing, dicing, and rotation to address the data organization structure. Drill-down is used to change the data hierarchy and alter the granularity of analysis. Slicing and dicing, based on the analysis of the current data dimension, perform distribution analysis on the remaining dimensions. The last node is a slice, and three or more nodes constitute a dicing. Rotation is used to change the orientation of data dimensions and rearrange the data.

[0072] By innovating data organization models and utilizing techniques such as data appending, segmentation, slicing, drilling, and rotation, granularity and amplitude coupling between above-ground and underground dimensions of models at different spatiotemporal scales are achieved. Slices, for example... Figure 2 As shown, the specific processing procedure is as follows:

[0073] 1. Wellbore trajectory data, including: the contents of wellbore information in the analysis model results; the data in the exported results file is processed using techniques such as appending, segmenting, slicing, drilling, and rotating to solve the coupling of granularity and amplitude under different spatiotemporal scale models in the later stage; the data is stored in the database and a data interface is written to provide twin calls.

[0074] 2. Wellbore trajectory mapping, including: Calculating the well trajectory mainly involves calculating the inclination of the collected wellbore inclination data. The basic principle is to use the wellhead as the zero point, accumulate the coordinate increments corresponding to each measuring point calculated using the measured data, and then obtain the actual coordinate values ​​of each measuring point, which is the spatial data of the wellbore trajectory shape.

[0075] 3. Wellbore structure model, including: five types of raw data: basic information of single well, drilling geological information, production formation, wellbore structure data (casing), and production tubing structure data. The raw data is logically processed, with the basic information of single well as the drilling geological information, wellbore structure data, production tubing structure data, and production formation of well completion, and the five types of raw data are divided into 17 items. The equipment model components are combined with the 17 items of wellbore data to display various equipment information on the three-dimensional model of the wellbore.

[0076] III. Ground Equipment and Facilities of the Station

[0077] Data on ground equipment and facilities at the site is collected, three-dimensional models of the ground site and equipment are established, the models are standardized and lightweighted, static attribute data and dynamic operation data are integrated to form three-dimensional graphics of the ground facilities, and real-time mapping between physical entities and three-dimensional models is realized to achieve dynamic visualization of equipment and facilities data.

[0078] Step 2: Combining business data and models

[0079] Research on reservoir environment fusion technology for underground models effectively integrates reservoirs and wellbores in a three-dimensional underground field, ensuring the accuracy of underground physical models and real-time data representation.

[0080] By using a reference system (with the wellhead surface location as the origin of the coordinate system, and other values ​​as relative values ​​to the origin), the shape, size, distance, depth, and orientation of geological entities are directly reflected in three-dimensional space, expanding the simulation analysis of the working conditions of real elements in three-dimensional space. The reference system is as follows: Figure 3 As shown.

[0081] The process involves identifying the types of business entities in the digital twin, establishing relationships between these entities, and defining the interaction between the numerical model and the business data. The numerical model files generated in the first two steps are then organically combined with various business attribute data to sequentially establish the association between the numerical model and the entities.

[0082] The association between numerical models and entities refers to the interactive relationship between the numerical model and the site entity model built by 3D modeling software, as well as the relationship between the attribute data of the numerical model and the established 3D graphics rendering body. For example, coloring each vertex of the mesh through attribute values, and applying color and texture information to the surface of the 3D mesh (model) through texture mapping.

[0083] By dynamically presenting the changes of the twin body in real time according to the changes of attribute values ​​over time steps, a real-time dynamic simulation effect is achieved.

[0084] Step 3: Realizing the integration of digital twins

[0085] A reference frame is established to reflect the shape, size, distance, depth, direction, and other characteristics of geological entities in three-dimensional space. A three-dimensional wellbore model is formed using rendering algorithms based on data such as wellbore trajectory. Based on data such as the layout of ground stations and equipment, the three-dimensional models of equipment from the above steps are arranged to couple the reservoir, wellbore, and surface dynamic model into an integrated digital twin. Furthermore, a two-way mapping is performed between the numerical model and the physical entity, and the underground model is integrated with the geological environment to ensure the accuracy of the representation of the entity model and the data.

[0086] It visualizes reservoir structures, wellbore, and surface stations, enabling real-time mapping and dynamic display of three-dimensional space and attribute data.

[0087] Attribute data mapping refers to associating entity objects in a 3D model or scene with corresponding attributes. The main implementation steps are as follows: Figure 4 As shown: The integration of underground models with reservoir environment refers to the process of rapidly loading and dynamically representing numerical models at different times, with different attributes (dynamic and static), and different sub-layers, data push and publishing services, and dynamic rendering by digital twin engine, so as to achieve coupling of reservoir, wellbore, and surface dynamic models, and the changes in related environment and attributes can be displayed on the twin.

[0088] Based on the integrated engineering geology concept of shale oil fracturing, and using the results of operational models, an integrated aboveground and underground model was constructed and data fusion-driven. Relying on reservoir, wellbore, site equipment, and GIS spatial data, and employing core technologies such as full-domain perception, multi-source data fusion, efficient modeling, real-time dynamic simulation, and visualization, integrated display and linked services were achieved, further providing comprehensive, multi-angle dynamic simulation and real-time optimization for fracturing operations.

[0089] This invention utilizes three-dimensional and dynamic / static data of the wellbore and reservoir from the Niuye demonstration well group to conduct research on an integrated twin characterization method for surface equipment models, wellbore models, and reservoir models, thereby realizing visualization of the entire integrated process of fracturing engineering geology.

[0090] Beneficial effects:

[0091] 1. This invention, through the cross-application of multiple technologies, implements cross-business and cross-process full lifecycle data integration, realizes the virtual-real interaction of digital twins, and effectively overcomes the difficulties of current fracturing construction departments, complex business fields involved, and lack of integrated means for surface and underground operations.

[0092] 2. This invention spatially integrates models of ground stations, wellbores, formations, and faults, supporting the simulation and business needs of digital twins for oil and gas field engineering, and making fracturing operations more controllable.

[0093] 3. The integrated model established by this invention has a clear and objective source, with various data having clear meanings, high accuracy, and a highly reproducible acquisition method, which is conducive to the promotion and application of fracturing technology in construction sites.

[0094] The above specific embodiments further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A digital twin characterization method for integrated fracturing, characterized in that, The characterization method includes: Perform model data processing; Research on reservoir environment fusion technology for underground models, which spatially integrates reservoir and wellbore in underground three-dimensional field; To achieve digital twin integration.

2. The integrated digital twin characterization method for fracturing as described in claim 1, characterized in that, The specific steps of model data processing include: Processing reservoir models; Processing wellbore models; Handling ground equipment and facilities at the site.

3. The integrated digital twin characterization method for fracturing as described in claim 2, characterized in that, The specific reservoir model being processed includes: This study analyzes the model structure and entity content of mainstream reservoir modeling software, researches reservoir model output data, collects and organizes existing reservoir output data, and develops algorithms to parse the data volume. The reservoir model was solidified, its surface area was reduced, and damaged surfaces were repaired. The model generated by the modeling software is reconstructed into a general three-dimensional geometric mesh model.

4. The integrated digital twin characterization method for fracturing as described in claim 3, characterized in that, The analysis examines the model structure and entity content of mainstream reservoir modeling software, studies reservoir model output data, collects and organizes existing reservoir output data, and develops algorithms to parse the data volumes. Specifically, this includes: By selecting different reservoir attributes from the structural models of strata, reservoirs, faults, and fault blocks, and reorganizing them according to the business structure, a data foundation for reservoir models is provided.

5. The integrated digital twin characterization method for fracturing according to claim 3, characterized in that, The process involves solidifying the reservoir model, reducing its surface area, and repairing damaged surfaces. Specifically, this includes: segmenting and cross-sectionalizing the reservoir model according to the required spatial relationships; establishing the reservoir model using a surface reconstruction estimation algorithm; and predicting unknown areas to fill in blank or missing information within the reservoir model.

6. The integrated digital twin characterization method for fracturing according to claim 3, characterized in that, The process of reconstructing the model generated by the modeling software into a general three-dimensional geometric mesh model specifically includes: Multiple reservoir units or data sources are split, stitched together, and arranged to form a discrete grid for the reservoir model; Construct a normal map for each vertex of the mesh; Color each vertex of the mesh; Create a lighting model for the surface of the 3D model; Texture mapping uses texture images to apply color and texture information to the surface of a 3D model.

7. The integrated digital twin characterization method for fracturing according to claim 2, characterized in that, The processing wellbore model specifically includes: Collect wellbore trajectory data: Collect basic information about the wellbore and well trajectory data, including but not limited to well name, wellhead coordinates, core filling elevation, completed well depth, well inclination data, etc. Utilize data appending, segmentation, slicing, drilling, rotation and other technologies to solve the coupling between granularity and amplitude under different spatiotemporal scale models in the later stage. Put the data into the database and write data interfaces to provide twin calls. Drawing the wellbore trajectory: Taking the wellhead as the zero point, the coordinate increments corresponding to each measuring point calculated using the measured data are accumulated, and then the actual coordinate values ​​of each measuring point are obtained, that is, the spatial data of the wellbore trajectory shape. Wellbore structure model: Collect five types of raw data: single well basic information, drilling geological information, production formation, wellbore structure data (casing), and production tubing structure data. Logically process the raw data, taking the single well basic information as the center, and combine it with drilling geological information, wellbore structure data, production tubing structure data, and well completion production formation. Divide the five types of raw data into 17 items, combine the equipment model components with the 17 items of wellbore data, and display various equipment information on the three-dimensional model of the wellbore.

8. The integrated digital twin characterization method for fracturing according to claim 2, characterized in that, The ground equipment and facilities at the processing station include: Based on data such as the layout and equipment of the ground site, the 3D models of the equipment from the above steps are arranged to couple the reservoir, wellbore, and surface dynamic models into an integrated digital twin. A two-way mapping is then performed between the numerical model and the physical entity, while the underground model is integrated with the geological environment. Utilizing reservoir, wellbore, site equipment, and GIS spatial data, core technologies such as full-domain perception, multi-source data fusion, efficient modeling, real-time dynamic simulation, and visualization are employed to achieve integrated display and collaborative services, further providing comprehensive, multi-faceted dynamic simulation and real-time optimization for fracturing operations.

9. The integrated digital twin characterization method for fracturing according to claim 1, characterized in that, The aforementioned research on geological environment fusion technology for underground models, specifically the spatial fusion of reservoirs and wellbores in a three-dimensional underground field, includes: It directly reflects the state of geological entities in three-dimensional space, and expands the simulation analysis of the working conditions of real elements in three-dimensional space; Identify the types of business entities in digital twins, establish the relationships between various entities in the twin, and the relationship and interaction between numerical models and business data; The business model is organically combined with various business attribute data, and the business model and entity are associated in turn. The relationship between business model and entity refers to the interactive relationship between the business model and the site entity model built by the 3D modeling software, as well as the relationship between the attribute data of the numerical model and the established 3D graphic rendering body. The changes in the twin are dynamically presented in sync with the real-time attribute values ​​over the time step.

10. The integrated digital twin characterization method for fracturing according to claim 1, characterized in that, The specific implementation of digital twin integration includes: A reference frame is established to reflect the shape, size, distance, depth, direction, and other characteristics of geological entities in three-dimensional space. A three-dimensional wellbore model is formed using rendering algorithms based on data such as wellbore trajectory. Based on data such as the layout of the ground station and equipment, the three-dimensional models of the equipment from the above steps are arranged to couple the reservoir, wellbore, and surface dynamic model into an integrated digital twin. The numerical model and physical entity are mapped bidirectionally, and the underground model is integrated with the geological environment to ensure the accuracy of the representation of the entity model and data. The reservoir structure, wellbore, and ground station are visualized, realizing real-time mapping and dynamic display of three-dimensional space and attribute data.

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