Exploration and development integrated service data flow construction method and equipment based on digital factory

Abstract

The invention relates to an exploration and development integrated service data flow construction method based on a digital factory, and the method comprises the steps: carrying out the hierarchical sorting of service modules and data assets based on a digital factory architecture concept and with the purpose of a product as a guide; a digital factory operation mode is used for reference, a core product is used as a fulcrum, and data flow relations among business modules are sorted in a graded manner; and drawing a digital factory schematic diagram of the digital business flow based on the business modules and the data flow relationship between the business modules to realize visualized display. According to the invention, a digital factory architecture concept and an operation mode are used for reference for the first time in the petroleum field, product purposiveness is used as a guide, an internal exploration and development integrated business process and a data flow relationship of a petroleum enterprise are sorted, and high-speed and high-efficiency flow and transfer between business flows are realized.

Description

Technical Field

[0001] The present invention relates to a method and device for constructing an exploration and development integrated business data stream based on a digital factory, and relates to the technical field of data management. Background Art

[0002] In today's era of digitalization and new technologies, enterprise management and operations are increasingly dependent on efficient and flexible information systems. In particular, in enterprise-level management platforms, the digital design of business processes has become a core task.

[0003] At present, many companies still use static business process management systems when dealing with exploration and development business flows. Although these systems can handle daily operations, they are rigid and inadequate when dealing with complex exploration and development integration. For example, traditional exploration and development business flows involve multiple modules (domain target evaluation, geophysical research, comprehensive reserve research, development plan research, and development and production research), and the internal results transmission between each module is unclear.

[0004] Based on the shortcomings of the above-mentioned existing data management technologies, it is urgent to propose a new digital business flow method to improve the overall design of the integrated exploration and development plan. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, in view of the above problems, the purpose of the present invention is to provide a method and device for constructing an exploration and development integrated business data flow based on a digital factory, which can clarify the internal business flow and data flow of exploration and development integration in a hierarchical manner.

[0006] In order to achieve the above-mentioned invention object, the technical solution adopted by the present invention is: In a first aspect, the present invention provides a method for constructing an exploration and development integrated business data flow based on a digital factory, characterized in that the method comprises: Based on the concept of digital factory architecture and guided by product purpose, business modules and data assets are organized in layers; Drawing on the operation mode of digital factories, with core products as the fulcrum, the data flow relationship between business modules is sorted out in stages; Draw a digital business flow digital factory schematic diagram based on business modules and the data flow relationship between business modules to achieve visual display.

[0007] In some possible implementations, based on the concept of digital factory architecture and guided by product purpose, business modules and data assets are organized hierarchically, including: The business modules are organized in layers. Specifically, the business modules of the entire exploration and development integration process are divided into five major factories as comprehensive finished products. Each factory includes field target evaluation, geophysical research, comprehensive reserve research, development plan research and development and production research; each factory includes a level 1 workshop as a core component, a level 2 workshop as a peripheral component and a level 3 workshop as a basic part; among them, the business module is to decompose a large business system or application into relatively independent and fully functional parts or modules; Data assets are processed according to the hierarchical sorting method of the above-mentioned business modules. Data assets refer to identifiable, manageable and valuable data resources inside or outside the organization, including core components of various exploration and development results-related thematic data. Peripheral components correspond to more detailed results data and directly serve the core components. Basic parts are the original basic data that serve the core components.

[0008] In some possible embodiments, the first-level core components of domain target evaluation include reservoir-caprock combination, migration and accumulation conditions, preservation conditions, closure conditions and depression resource evaluation; the first-level core components of geophysical research include seismic data acquisition, seismic data processing, comprehensive seismic interpretation and well logging interpretation; the first-level core components of comprehensive reserve research include reservoir characteristics and geological reserves; the first-level core components of development plan research include reservoir geology, geological modeling, producing reserves, reservoir engineering, reservoir numerical model prediction and reservoir development plan; the first-level core components of development and production research include production dynamic analysis, geological modeling iteration, reservoir numerical simulation and prediction, remaining oil distribution and reservoir adjustment plan.

[0009] In some possible embodiments, a comprehensive finished product is defined as a comprehensive research result, which is independent and mature; a core component is defined as a result-oriented topic, which directly serves the comprehensive finished product and is indispensable; a peripheral component is defined as a result-oriented topic, which directly serves the core component and indirectly serves the comprehensive finished product; and basic parts are defined as service topics, such as oil field analogy and well test interpretation.

[0010] In some possible implementations, the operation mode of a digital factory is used as a reference, and the data flow relationship between business modules is sorted out in stages with core products as the fulcrum, including: Clarify the digital factory operation mode: Identify core products, i.e. key data outputs that assist exploration and development in making solutions; Taking core products as the fulcrum and based on the digital factory operation mode, the data flow relationship between core products is sorted out in a hierarchical manner.

[0011] In some possible implementations, the digital factory operation mode is clarified, including: Field target evaluation as providing factory, its receiving factory includes: comprehensive reserve study, geophysical study and development plan study; Geophysical research is the providing factory, and its receiving factories include: field target evaluation, comprehensive reserve research, development plan research and development and production research; Comprehensive reserve research is the providing factory, and its receiving factory includes: development plan research and development and production research; The development plan research is a providing factory, and its receiving factories include: development and production research, among which the providing factory is the starting source of data provision, and the receiving factory is the next level module that receives data.

[0012] In some possible implementations, core products, i.e. key data outputs that assist exploration and development in making solutions, are identified, including: The core products include reservoir-cap combinations, migration and accumulation conditions, preservation conditions, closure conditions, depression resource evaluation, seismic data acquisition, seismic data processing, comprehensive seismic interpretation, well logging interpretation, reservoir characteristics, geological reserves, reservoir geology, geological modeling, producing reserves, reservoir engineering, reservoir numerical modeling prediction, reservoir development plan, production dynamic analysis, geological modeling iteration, reservoir numerical simulation and prediction, remaining oil distribution and reservoir adjustment plan.

[0013] In some possible embodiments, the data flow relationship between core products is hierarchically sorted out based on the digital factory operation mode with core products as the fulcrum, including: Identify core products and data flows, such as which data is important and which interactions between products require special attention; Identify data flows, including data received from and sent to other products; Analyze data interaction patterns, including understanding how data is generated, transmitted, processed, and used.

[0014] In some possible embodiments, a digital business flow digital factory schematic diagram is drawn based on the business modules and the data flow relationship between the business modules to achieve a visual display, including: Based on the sorted business flow data, the pyecharts network diagram method is used to construct an intuitive schematic diagram of the first-level digital factory of the digital business flow and a second-level network structure diagram of the digital business flow, to realize the functional operation interface and system construction of the digital business flow. On this basis, JavaScript is used to add relevant query and management functions to communicate the corresponding operation modules.

[0015] In a second aspect, the present invention further provides an electronic device, comprising: at least one processor; and A memory communicatively connected to the processor; wherein, The memory stores instructions executable by the processor, and the instructions are executed by the processor to enable the processor to perform any one of the methods described above.

[0016] The present invention adopts the above technical solution, and has the following characteristics: 1. This invention is the first in the petroleum field to draw on the concept and operation mode of digital factory architecture. Guided by product purpose, it sorts out the integrated business processes and data flow relationships of exploration and development within petroleum enterprises, and realizes high-speed and efficient flow and mobilization between business flows.

[0017] 2. The present invention utilizes the sorted exploration and development integrated business processes and data flow relationships to build a digital business flow interface for simplified operation, and can construct a corresponding operating system, thereby realizing full business integration of business flow query, data flow query, management process control and technical methods, and accelerating the advancement of digital management of the enterprise.

[0018] In summary, the present invention can be widely applied to data flow management. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Throughout the accompanying drawings, the same reference numerals are used to represent the same components. In the accompanying drawings: Figure 1 A schematic diagram of hierarchical sorting of business modules and data assets according to an embodiment of the present invention; Figure 2 A schematic diagram of the flow of five major factories according to an embodiment of the present invention; Figure 3 A diagram showing the data flow relationship between the core products of an embodiment of the present invention; Figure 4 A schematic diagram for visualizing a digital service flow according to an embodiment of the present invention; Figure 5 This is a diagram showing the effect of the secondary network structure of digital service flows according to an embodiment of the present invention; Figure 6 This is a schematic diagram of the digital service flow functional operation interface effect of an embodiment of the present invention; Figure 7 A schematic diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] It should be understood that the terms used herein are only for the purpose of describing specific example embodiments and are not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms "one", "an" and "said" as used herein may also be meant to include plural forms. The terms "include", "comprise", "contain", and "have" are inclusive, and therefore specify the existence of stated features, steps, operations, elements and / or parts, but do not exclude the existence or addition of one or more other features, steps, operations, elements, parts, and / or combinations thereof. The method steps, processes, and operations described herein are not interpreted as necessarily requiring them to be performed in the specific order described or illustrated, unless the execution order is clearly indicated. It should also be understood that additional or alternative steps may be used.

[0021] Although the terms first, second, third, etc. can be used in the text to describe multiple elements, components, regions, layers and / or sections, these elements, components, regions, layers and / or sections should not be limited by these terms. These terms can only be used to distinguish an element, component, region, layer or section from another region, layer or section. Unless the context clearly indicates, terms such as "first", "second" and other numerical terms do not imply order or sequence when used in the text. Therefore, the first element, component, region, layer or section discussed below can be referred to as the second element, component, region, layer or section without departing from the teaching of the example embodiments.

[0022] For ease of description, spatially relative terms may be used herein to describe the relationship of one element or feature relative to another element or feature as shown in the figures, such as "inside", "outside", "inner side", "outer side", "below", "above", etc. Such spatially relative terms are intended to include different orientations of the device in use or operation in addition to the orientation depicted in the figures.

[0023] Since the traditional exploration and development business flow involves multiple modules, the internal results transmission between each module is unclear. The present invention provides a method and device for constructing an exploration and development integrated business data flow based on a digital factory. The method includes: based on the digital factory architecture concept, guided by product purpose, hierarchical sorting of business modules and data assets; drawing on the digital factory operation mode, taking the core product as the fulcrum, hierarchical sorting of the data flow relationship between business modules; drawing a digital business flow digital factory schematic diagram based on the business module and the data flow relationship between business modules to achieve a visual display. Therefore, the present invention is the first in the petroleum field to draw on the digital factory architecture concept and operation mode, guided by product purpose, to sort out the internal exploration and development integrated business process and data flow relationship of the petroleum enterprise, and realize high-speed and efficient flow and mobilization between business flows.

[0024] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0025] Embodiment 1: The method for constructing an exploration and development integrated business data flow based on a digital factory provided in this embodiment includes: S1. Based on the concept of digital factory architecture and guided by product purpose, business modules and data assets are organized in layers.

[0026] In this embodiment, a digital factory refers to a factory that uses digital technologies and tools, such as the Internet of Things, big data analysis, and artificial intelligence, to comprehensively digitize and intelligentize the production processes of the manufacturing industry. Its purpose is to improve production efficiency, reduce costs, and improve product quality through real-time data monitoring, intelligent decision support, and automated production, and to be able to quickly respond to changes in market demand.

[0027] In this embodiment, a business flow generally refers to a set of steps or activities that are connected in a certain order and logic to complete a specific business process or task. A data flow generally refers to the transmission and processing of data in a system or software. In information technology and software development, a data flow describes the path and method by which data flows from one place (source) to another place (destination).

[0028] like Figure 1 , Figure 2 As shown in the figure, the early business modules and data asset sorting of the integrated digital business flow of exploration and development innovatively draw on the concept of digital factory architecture, including: This embodiment divides the business modules of the entire exploration and development integration process into five major factories (integrated finished products), each of which includes field target evaluation, geophysical research, comprehensive reserve research, development plan research and development and production research. Each factory includes a level 1 workshop (core component), a level 2 workshop (peripheral components) and a level 3 workshop (basic parts). Data assets are processed according to the above-mentioned business module hierarchical combing method. Data assets refer to identifiable, manageable and valuable data resources inside or outside the organization, such as various exploration and development results-related thematic data (core components), which directly serve the five major factories, while peripheral components correspond to more detailed results data, such as production capacity evaluation, recovery factor analysis, etc., which directly serve the core components; basic parts are original basic data, such as seismic and well test data, which serve the core components; business modules refer to the decomposition of a large business system or application into relatively independent and functionally complete parts or modules. Each business module usually focuses on processing specific business functions or processes, which helps to improve the maintainability, scalability and flexibility of the system.

[0029] Furthermore, an integrated finished product is defined as a comprehensive research result that is independent and mature, such as an oil field development plan.

[0030] Core components are defined as outcome-based topics that directly serve integrated finished products and are indispensable, such as numerical simulation predictions.

[0031] Peripheral components are defined as outcome-oriented topics that directly serve core components and indirectly serve comprehensive finished products, such as capacity evaluation and recovery factor analysis.

[0032] Basic parts are defined as service topics, such as oil field analogy and well test interpretation.

[0033] Furthermore, the first-level core components of field target evaluation include reservoir-caprock combination, migration and accumulation conditions, preservation conditions, closure conditions and depression resource evaluation. The first-level core components of geophysical research include seismic data acquisition, seismic data processing, seismic comprehensive interpretation and well logging interpretation. The first-level core components of comprehensive reserve research include reservoir characteristics and geological reserves. The first-level core components of development plan research include reservoir geology, geological modeling, reserves, reservoir engineering, reservoir numerical model prediction and reservoir development plan. The first-level core components of development and production research include production dynamic analysis, geological modeling iteration, reservoir numerical simulation and prediction, remaining oil distribution and reservoir adjustment plan.

[0034] S2. Learn from the operation mode of digital factory, take core products as the fulcrum, and sort out the data flow relationship between business modules in a hierarchical manner.

[0035] In this embodiment, Figure 2 , Figure 3As shown, based on step S1, drawing on the digital factory operation model and taking the core products as the fulcrum, the data flow relationship between business modules is sorted out in stages, including: 1) Clarify the operation mode of digital factory.

[0036] In this embodiment, the domain target evaluation is used as a providing factory, and its receiving factories include: comprehensive reserve research, geophysical research, and development plan research. Geophysical research is used as a providing factory, and its receiving factories include: domain target evaluation, comprehensive reserve research, development plan research, and development and production research. Comprehensive reserve research is used as a providing factory, and its receiving factories include: development plan research and development and production research. Development plan research is used as a providing factory, and its receiving factories include: development and production research, wherein the providing factory is the starting source of data provision, and the receiving factory is the next level module that receives data.

[0037] 2) Identify core products, i.e. key data outputs that assist in solving problems in exploration and development.

[0038] In this embodiment, the core products include reservoir-cap combination, migration and accumulation conditions, preservation conditions, closure conditions, depression resource evaluation, seismic data acquisition, seismic data processing, comprehensive seismic interpretation, well logging interpretation, reservoir characteristics, geological reserves, reservoir geology, geological modeling, producing reserves, reservoir engineering, reservoir digital model prediction, reservoir development plan, production dynamic analysis, geological modeling iteration, reservoir digital simulation and prediction, remaining oil distribution and reservoir adjustment plan.

[0039] 3) Taking core products as the fulcrum and based on the digital factory operation mode, the data flow relationship between core products is sorted out in a hierarchical manner.

[0040] In this embodiment, the hierarchical sorting of the data flow relationship between the core products is a systematic process, which aims to clearly understand and describe the transmission and interaction of data between different products, including: ① Identify core products and data flows, such as which data is important and which interactions between products require special attention; ② Identify data flows, including data received from other products and data sent to other products; ③Analyze data interaction patterns, including understanding how data is generated, transmitted, processed and used.

[0041] For example: Figure 3 As shown, the results of comprehensive seismic interpretation will flow to reservoir-cap combinations, geological modeling, etc., and after geological modeling, the data will flow to reservoir numerical model prediction; after obtaining the reservoir numerical model prediction results, the data is used for reservoir development plan research, etc. This is an example, but not limited to this.

[0042] S3. Draw an intuitive schematic diagram of the digital business flow and the system construction of the first-level digital factory to achieve a visual display.

[0043] In this embodiment, based on step S2, a visual display is realized, and an intuitive schematic diagram of a digital business flow and a first-level digital factory is drawn, such as Figure 4-5 As shown in the figure, based on the sorted business flow data, the pyecharts network diagram method is used to construct the digital business flow first-level digital factory intuitive schematic diagram and the digital business flow second-level network structure diagram, realizing the digital business flow functional operation interface and system construction. Among them, in order to facilitate the viewing of relevant data nodes, on this basis, JavaScript is used to add relevant query and management functions, communicate the corresponding operation modules, and facilitate promotion and application, such as Figure 6 shown.

[0044] Embodiment 2: This embodiment provides an electronic device corresponding to the method for constructing an integrated exploration and development business data flow based on a digital factory provided in Embodiment 1. The electronic device may be an electronic device for a client, such as a mobile phone, a laptop computer, a tablet computer, a desktop computer, etc., to execute the method of Embodiment 1.

[0045] like Figure 7 As shown, the electronic device includes a processor, a memory, a communication interface and a bus, and the processor, the memory and the communication interface are connected through the bus to complete mutual communication. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Component (EISA) bus, etc. The memory stores a computer program that can be run on the processor. When the processor runs the computer program, it executes the method of Embodiment 1. The implementation principle and technical effect are similar to those of Embodiment 1 and will not be repeated here. Those skilled in the art can understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the scheme of the present application, and does not constitute a limitation on the computing device to which the scheme of the present application is applied. The specific computing device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0046] In a preferred embodiment, the logic instructions in the above-mentioned memory can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), optical disk and other media that can store program codes.

[0047] In a preferred embodiment, the processor may be a central processing unit (CPU), a digital signal processor (DSP) or other general-purpose processors, which are not limited herein.

[0048] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (apparatus), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0049] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0050] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0051] Each embodiment in this specification is described in a progressive manner, and the same and similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In the description of this specification, the description of reference terms "a preferred embodiment", "further", "specifically", "in the present embodiment", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiment of this specification. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples without contradiction.

[0052] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for constructing an integrated exploration and development business data flow based on a digital factory, characterized in that: The method includes: Based on the concept of digital factory architecture and guided by product purpose, business modules and data assets are organized in layers; Drawing on the operation mode of digital factories, with core products as the fulcrum, the data flow relationship between business modules is sorted out in stages; Draw a digital business flow digital factory schematic diagram based on business modules and the data flow relationship between business modules to achieve visual display.

2. The method for constructing an integrated exploration and development business data flow based on a digital factory according to claim 1 is characterized in that: Based on the concept of digital factory architecture and guided by product purpose, business modules and data assets are organized in layers, including: The business modules are organized in layers. Specifically, the business modules of the entire exploration and development integration process are divided into five major factories as comprehensive finished products. Each factory includes field target evaluation, geophysical research, comprehensive reserve research, development plan research and development and production research; each factory includes a level 1 workshop as a core component, a level 2 workshop as a peripheral component and a level 3 workshop as a basic part; among them, the business module is to decompose a large business system or application into relatively independent and fully functional parts or modules; Data assets are processed according to the hierarchical sorting method of the above-mentioned business modules. Data assets refer to identifiable, manageable and valuable data resources inside or outside the organization, including core components of various exploration and development results-related thematic data. Peripheral components correspond to more detailed results data and directly serve the core components. Basic parts are the original basic data that serve the core components.

3. The method for constructing an integrated exploration and development business data flow based on a digital factory according to claim 2 is characterized in that: The first-level core components of domain target evaluation include reservoir-caprock combination, migration and accumulation conditions, preservation conditions, closure conditions and depression resource evaluation; the first-level core components of geophysical research include seismic data acquisition, seismic data processing, comprehensive seismic interpretation and well logging interpretation; the first-level core components of comprehensive reserve research include reservoir characteristics and geological reserves; the first-level core components of development plan research include reservoir geology, geological modeling, producing reserves, reservoir engineering, reservoir numerical modeling prediction and reservoir development plan; the first-level core components of development and production research include production dynamic analysis, geological modeling iteration, reservoir numerical simulation and prediction, remaining oil distribution and reservoir adjustment plan.

4. The method for constructing an integrated exploration and development business data flow based on a digital factory according to claim 2 is characterized in that: The comprehensive finished product is defined as the comprehensive research results, which are independent and mature; the core components are defined as the result-oriented topics, which directly serve the comprehensive finished products and are indispensable; the peripheral components are defined as the result-oriented topics, which directly serve the core components and indirectly serve the comprehensive finished products; the basic parts are defined as the service topics, such as oil field analogy and well test interpretation.

5. The method for constructing an integrated exploration and development business data flow based on a digital factory according to claim 1 is characterized in that: Drawing on the operation mode of digital factories, with core products as the fulcrum, the data flow relationship between business modules is sorted out in stages, including: Clarify the digital factory operation mode: Identify core products, i.e. key data outputs that assist exploration and development in making solutions; Taking core products as the fulcrum and based on the digital factory operation mode, the data flow relationship between core products is sorted out in a hierarchical manner.

6. The method for constructing an integrated exploration and development business data flow based on a digital factory according to claim 5 is characterized in that: Clarify the digital factory operation mode, including: Field target evaluation as providing factory, its receiving factory includes: comprehensive reserve study, geophysical study and development plan study; Geophysical research is the providing factory, and its receiving factories include: field target evaluation, comprehensive reserve research, development plan research and development and production research; Comprehensive reserve research is the providing factory, and its receiving factory includes: development plan research and development and production research; The development plan research is a providing factory, and its receiving factories include: development and production research, among which the providing factory is the starting source of data provision, and the receiving factory is the next level module that receives data.

7. The method for constructing an integrated exploration and development business data flow based on a digital factory according to claim 5 is characterized in that: Identify core products, which are key data outputs that assist exploration and development in making solutions, including: The core products include reservoir-cap combinations, migration and accumulation conditions, preservation conditions, closure conditions, depression resource evaluation, seismic data acquisition, seismic data processing, comprehensive seismic interpretation, well logging interpretation, reservoir characteristics, geological reserves, reservoir geology, geological modeling, producing reserves, reservoir engineering, reservoir numerical modeling prediction, reservoir development plan, production dynamic analysis, geological modeling iteration, reservoir numerical simulation and prediction, remaining oil distribution and reservoir adjustment plan.

8. The method for constructing an integrated exploration and development business data flow based on a digital factory according to claim 5, characterized in that: With core products as the fulcrum and based on the digital factory operation mode, the data flow relationship between core products is hierarchically sorted out, including: Identify core products and data flows, such as which data is important and which interactions between products require special attention; Identify data flows, including data received from and sent to other products; Analyze data interaction patterns, including understanding how data is generated, transmitted, processed, and used.

9. The method for constructing an integrated exploration and development business data flow based on a digital factory according to claim 1, characterized in that: Draw a digital business flow digital factory diagram based on business modules and the data flow relationship between business modules to achieve visual display, including: Based on the sorted business flow data, the pyecharts network diagram method is used to construct an intuitive schematic diagram of the first-level digital factory of the digital business flow and a second-level network structure diagram of the digital business flow, to realize the functional operation interface and system construction of the digital business flow. On this basis, JavaScript is used to add relevant query and management functions to communicate the corresponding operation modules.

10. An electronic device, characterized in that: include: at least one processor; as well as A memory communicatively connected to the processor; wherein, The memory stores instructions executable by the processor, and the instructions are executed by the processor to enable the processor to perform the method according to any one of claims 1 to 9.

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