Petroleum exploration and development integrated collaborative research platform construction method

Abstract

The invention discloses an oil exploration and development integrated collaborative research platform construction method, and belongs to the technical field of platform construction, an integrated collaborative research platform and an integrated collaborative research scheme are included, and the integrated collaborative research platform comprises a data resource integration system, a service and software resource integration system and a service scene construction system; the data resource integration system comprises a collaborative research project library, a data lake standard library and an application library; the service and software resource integration system comprises a project library, service registration and management, related services, component resources and scene configuration services, and further comprises a business scene configuration and construction unit and an application scene configuration and construction unit. According to the method, a unified collaborative research environment in which research elements such as business regulations, research data and professional software are highly fused is constructed, a research barrier is broken through, three collaborations, namely cross-department and post organization management collaboration, professional-process collaboration and data-software collaboration, are realized, and the research collaboration degree is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of platform construction, and in particular to a method for constructing an integrated collaborative research platform for petroleum exploration and development. Background Art

[0002] In the comprehensive research work of exploration and development in the oil industry, there are many research projects, many working software, many research institutions, and many data types, which makes collaboration difficult. In the actual research process, it is difficult to collect research data in the project preparation stage, including cross-departmental data collection: the data borrowing cycle is long, the process is complicated, and it is inconvenient to obtain data across space, and there is a risk of data leakage; the time for data collection accounts for 20%-30% of the overall work; data acquisition between different departments: it is unknown when the latest data will be available, and the data can only be obtained in the database after it is archived, which affects the research work; many data are not required to be archived, and data can only be collected offline;

[0003] During the project operation phase, there is an imperfect collaborative research environment; specifically, the analysis and processing of basic research data takes up 20%-30% of the entire research time: data export and import between software; data required by professional software needs to be processed manually, the process is mechanical, cumbersome and labor-intensive; some research data analysis workload is large, most tools are not domestically produced, and the number of licenses is limited (such as trinity, which can support geochemistry, basin modeling, sedimentation, logging professionals to carry out professional intersection diagram analysis and other work), and professional software cannot fully cover the research work; it is impossible to obtain project progress information in real time and objectively, and it is necessary to inquire the project team to obtain project progress information; there are physical barriers to cross-business and cross-departmental team collaboration;

[0004] In the final stage of the project, it is difficult to archive the research results. Specifically, the quality control and approval process of the results has a strong demand for electronicization; post-archiving: it is difficult to ensure the integrity of the data; additional archiving workload is increased; data assets are not timely and complete, which affects: data archiving collection and automatic storage, which brings additional huge workload to researchers and hinders the sedimentation and sharing of data. Based on this, a method for building an integrated collaborative research platform for petroleum exploration and development is proposed to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to solve the problems existing in the prior art and to propose a method for constructing an integrated collaborative research platform for petroleum exploration and development.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] A method for constructing an integrated collaborative research platform for petroleum exploration and development, comprising an integrated collaborative research platform and an integrated collaborative research solution, wherein the integrated collaborative research platform comprises a data resource integration system, a service and software resource integration system, and a service scenario construction system;

[0008] The data resource integration system includes a collaborative research project library, a data lake standard library, and an application library;

[0009] The service and software resource integration system includes project library, service registration and management, related services and component resources, and scenario configuration services;

[0010] The service scenario construction system includes a business scenario configuration construction unit and an application scenario configuration construction unit;

[0011] The integrated collaborative research solution includes: collaborative research application mode, realizing the collaborative research environment of exploration research and preliminary research, providing the required management process, research data, commercial software, and auxiliary tool support for each subtask scenario, and driving the seamless connection of research business flow according to the natural transmission of data flow in each business scenario, and combining the business model visualization application with unified data standards;

[0012] The specific steps include:

[0013] S1. Integrate work elements: The platform organically integrates work elements such as data, tools, and processes according to business characteristics. When conducting research work, it accurately provides the required basic data, knowledge data, research tools and other work resources, opens up data links between businesses and software, promotes all-round business collaboration, and supports the efficient development of research work;

[0014] S2. Push basic data processing: Preliminary processing, integration, refinement, extraction of useful data, and search for key data in the data lake standard library;

[0015] S3. Data sharing and push: Taking advantage of digitalization and informatization, new data generated upstream can be perceived in real time by downstream researchers after being released, and they can directly obtain and apply it. When conducting research work, the platform automatically pushes the required basic research data to achieve data sharing and use;

[0016] S4. Rich and accurate knowledge push: Build basic knowledge management applications for oil and gas exploration and development, realize the application of petroleum encyclopedia, oil and gas expert database, and work guidance; realize knowledge push, intelligent retrieval and a series of intelligent knowledge applications through knowledge graph technology;

[0017] S5. Multi-type business data analysis application: In research work, data analysis tools are provided to help users analyze large amounts of data, assist users in analyzing data validity, relevance, denoising, and summarizing data patterns; at the same time, graphing, calculation, and reporting tools are provided to assist researchers in compiling research results;

[0018] S6. Assisted intelligent analysis: Apply artificial intelligence technology to analyze and predict research processes with large data volumes and complex processing processes through intelligent models;

[0019] S7. Comprehensive analysis of business models: Combined with petroleum data visualization technology, strengthen geological modeling and model data management for a series of research objects such as wellbore, reservoir, and oil reservoir, and integrate geology according to the life cycle of geological objects in combination with the collaborative research project library;

[0020] S8. Unified management of business models: Unified management of business models, converting model data into a common format through the data exchange service center, and providing unified model data application services to support online sharing and transmission of different professional business model results data during the research process;

[0021] S9. Data interconnection across software: The platform exchanges and processes the data required by professional software through the data exchange service center and pushes it to the professional software;

[0022] S10. Establish professional software data exchange standards: Establish professional software data exchange standards to achieve seamless cross-software data exchange;

[0023] S11. Collaborative report writing: The first draft of the standardized report is automatically generated according to the report template. The concluding contents that need to be summarized and refined in the report are edited and completed by multiple researchers online;

[0024] After the development, drilling and completion, engineering and economic evaluation professionals have completed the writing of the sub-project reports, the platform will automatically splice the sub-project reports into a preliminary research summary report according to the structure of the preliminary research report;

[0025] S12. Business information acquisition and results quality control approval on the mobile APP: Through the mobile APP, drilling information and production dynamic data can be obtained, and the project team results data can be directly checked on the mobile phone to conduct results quality control review;

[0026] S13. Online results review: retrieve key results or interpretation models online to review results, answer questions, and conduct quality control; manage and share well data and geological model data online according to interpretation work areas, and retrieve and display them in real time;

[0027] S14. Comprehensive research project progress tracking and management;

[0028] S15. Data entry and archiving: After the project acceptance inspection is completed, the project engineer will organize and submit the research results data according to the entry into the lake collection specifications, and the data engineer will check the data quality. After confirmation, the data will be entered into the lake, completing the business closed loop of data "collection, storage, management, and use".

[0029] Preferably, the data resource integration system serves as the source platform for collecting exploration research and preliminary research results data. The basic data required for the research is taken from the data lake standard library. The research results data formed enter the data lake standard library according to the specifications, and the process self-built data and application data must establish an interface with the exploration and development project library.

[0030] Preferably, the business scenario configuration construction unit realizes associating the business unit with the business data and the business role through the five dimensions of the business unit: object domain, business domain, work domain, business process and professional domain;

[0031] Accurately describe business research scenarios, establish the relationship between business data and business work, and achieve precise configuration of business work resources: data, tools, and software.

[0032] Preferably, the application scenario configuration builds the application resources and data resource service capabilities of the application integrated collaborative platform. Through a low-code configuration method, the research work elements are organized according to the smallest research work scenario, and the main functional framework of the smallest research scenario is quickly built and released. Then, according to the business work content, the research work scenarios are assembled to form project scenarios.

[0033] Preferably, the collaborative research project library serves as the source platform for collecting data on exploration research and preliminary research results, and the data lake standard library provides the basic data required for research;

[0034] The service and software resource integration system provides service and application support for the scenario construction and operation of the service scenario construction system.

[0035] Preferably, the comprehensive analysis of the model in S7 supports researchers to preview and view it online, and supports data analysis, knowledge acquisition and data application for research work on wells, reservoirs, oil reservoirs, etc.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. This plan standardizes research data and research processes, and uses informatization to standardize research processes and research results, thereby achieving a transformation from traditional paper-based procedures to online research, and improving the standardization of comprehensive research work.

[0038] 2. This plan breaks down research barriers by building a unified collaborative research environment that highly integrates research elements such as business procedures, research data, and professional software, and achieves three types of collaboration: organizational management collaboration across departments and positions, professional-process collaboration, and data-software collaboration, thereby greatly improving the degree of research collaboration.

[0039] 3. The integrated collaborative research platform constructed by this plan will provide efficient data acquisition methods and convenient work auxiliary tools by building a highly integrated and unified collaborative research environment with business procedures, research data, professional software and other research elements, thereby improving the standardization of research, enhancing multi-disciplinary collaborative research capabilities, and improving comprehensive research efficiency. After the platform is completed, it will reduce scientific research data collection time by 90%, and the comprehensive research efficiency is expected to increase by nearly 40%.

[0040] 4. During the research process of this program, researchers use relevant functions on the platform to generate results data. After the research project is accepted and reviewed, the project as a whole is archived in batches with one click. The platform data warehousing service converts the research results into archiving standard data, reducing the workload of manual sorting and lowering the difficulty of archiving.

[0041] 5. This solution is based on the technical resources and business resources of the integrated collaborative research platform, changing the traditional collaborative business scenario construction model. It completes the construction of research scenarios through configurable accumulated services, components, tools and business resources, quickly responds to business needs, shortens delivery cycles, and reduces R&D costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A schematic diagram of the system modules of a petroleum exploration and development integrated collaborative research platform proposed by the present invention;

[0043] Figure 2 A schematic diagram of a method for constructing an integrated collaborative research platform for petroleum exploration and development proposed by the present invention;

[0044] Figure 3 This is a flow chart of a data resource integration system in a method for constructing an integrated collaborative research platform for petroleum exploration and development proposed by the present invention;

[0045] Figure 4 This is a flow chart of the service and software resource integration system in a method for constructing an integrated collaborative research platform for petroleum exploration and development proposed by the present invention;

[0046] Figure 5 This is a flow chart of data entry and archiving in a lake in a method for building an integrated collaborative research platform for petroleum exploration and development proposed by the present invention. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0048] Example, see Figures 1 to 5 , a method for constructing an integrated collaborative research platform for petroleum exploration and development, including an integrated collaborative research platform and an integrated collaborative research solution, the integrated collaborative research platform including a data resource integration system, a service and software resource integration system, and a service scenario construction system;

[0049] The data resource integration system includes a collaborative research project library, a data lake standard library, and an application library;

[0050] The service and software resource integration system includes project libraries, service registration and management, related services and component resources, and scenario configuration services. It provides services and application support for the construction and operation of upper-level collaborative research scenarios and is the "basic foundation" of the collaborative research platform.

[0051] The service scenario construction system includes a business scenario configuration construction unit and an application scenario configuration construction unit;

[0052] refer to Figure 3 The data resource integration system serves as the source platform for collecting exploration research and preliminary research results data. The basic data required for the research is taken from the data lake standard library; the research results data formed enter the data lake standard library according to the specifications (the development research results are pushed to the development project library), and the process self-built data and application data must establish an interface with the exploration and development project library.

[0053] The business scenario configuration building unit realizes the association of business units with business data and business roles through the five dimensions of business units: object domain, business domain, work domain, business process and professional domain;

[0054] Accurately describe business research scenarios, establish the relationship between business data and business work, and achieve precise configuration of business work resources: data, tools, and software.

[0055] The application scenario configuration builds the application resources and data resource service capabilities of the application integrated collaborative platform. Through low-code configuration methods, the research work elements are organized according to the smallest research work scenario, and the main functional framework of the smallest research scenario is quickly built and released. Then, according to the business work content, the research work scenarios are assembled to form project scenarios.

[0056] The collaborative research project library serves as a source platform for collecting data on exploration research and preliminary research results, and the data lake standard library provides the basic data required for research;

[0057] The service and software resource integration system provides service and application support for the scenario construction and operation of the service scenario construction system.

[0058] The integrated collaborative research solution includes: collaborative research application mode, realizing the collaborative research environment of exploration research and preliminary research, providing the required management process, research data, commercial software, and auxiliary tool support for each subtask scenario. Each business scenario drives the seamless connection of research business flow based on the natural transmission of data flow, and combines the business model visualization application with unified data standards to improve the business model perception ability and the efficiency of online multi-professional collaborative research;

[0059] The specific steps include:

[0060] Exploration research and preliminary research projects are completed by multi-department collaboration, and there are problems such as poor data transmission and unrealistic results exchange due to cross-regional and cross-project barriers. Under the online project management model, a multi-position, cross-regional collaborative work model is provided. In the same project environment, data and results data are shared and used, opening up the data flow and workflow between different research work scenarios.

[0061] Project data sharing: Online projects are organized in a multi-disciplinary and cross-company manner, but through a unified online project organization and management method, research materials and research results are shared in real time, changing the problem of poor communication of results due to geographical barriers in traditional offline projects. Different disciplines can view the research results published by other disciplines in real time.

[0062] Real-time perception of project information: Taking full advantage of digitalization, the project progress is displayed in real time and objectively on the platform, and project managers can understand and follow up the progress status of various research tasks in real time.

[0063] Integrate work elements and enhance the core value of research productivity elements: In collaborative research scenarios, the platform organically integrates work elements such as data, tools, and processes according to business characteristics. When conducting research work, it accurately provides the required basic data, knowledge data, research tools and other work resources, opens up data links between businesses and software, promotes all-round business collaboration, and supports the efficient development of research work;

[0064] Push basic data processing and provide target data required by users: In business applications, the basic data of the data lake cannot be directly applied. The data in the standard library of the data lake must be preliminarily processed, integrated, refined, and useful data extracted to find and obtain key data;

[0065] Data sharing and push, breaking down the barriers to data transmission between upstream and downstream: Taking advantage of digitalization and informatization, new data generated upstream can be perceived by downstream researchers in real time (including data changes) after being released, and directly obtained and applied. Compared with the original offline data being saved separately, data transmission is smoother and more automatic. When conducting research work, the platform automatically pushes the required basic research data. Data sharing and use can reduce the workload brought by data collection and improve the timeliness of data application;

[0066] Rich and accurate knowledge push promotes efficient and intelligent application of scientific research knowledge: builds basic knowledge management applications for oil and gas exploration and development, realizes the application of petroleum encyclopedia, oil and gas expert database, and work guidance; realizes knowledge push, intelligent retrieval and a series of intelligent knowledge applications through knowledge graph technology; comprehensively supports the accurate acquisition of knowledge required by exploration and development researchers, and improves the accuracy and efficiency of data acquisition;

[0067] Multi-type business data analysis applications make data analysis more convenient. In research work, data analysis tools are provided to help users analyze large amounts of data, assist users in analyzing data validity, relevance, denoising, and summarizing data patterns; at the same time, graphing, calculation, and reporting tools are provided to assist researchers in compiling research results;

[0068] Smarter data analysis will improve the level of intelligent research and promote the transformation of intelligent research;

[0069] Assisted intelligent analysis: Applying artificial intelligence technology, the research process with large data volume and complex processing is analyzed and predicted through intelligent models, changing the traditional manual mode to the mode of analysis and prediction through intelligent models, making the analysis of big data faster and more accurate, and improving the level of CNOOC's intelligent research from multiple levels such as technology and business application;

[0070] Comprehensive model analysis: Combined with petroleum data visualization technology (two-dimensional model, three-dimensional model visualization), strengthen the geological modeling and model data management of wellbore, reservoir, oil reservoir and other research objects, and combine with the collaborative research project library to integrate the management of geology according to the life cycle of geological objects, support researchers to preview and view online, and support data analysis, knowledge acquisition and data application of research work on wells, reservoirs, oil reservoirs, etc.;

[0071] Unified management of business models: Unified management of business models, converting model data into a common format through the data exchange service center, and providing unified model data application services, supporting online sharing and transmission of different professional business model results data during the research process, laying a good foundation for improving business model perception capabilities;

[0072] Data interconnection and interoperability across software: The platform exchanges and processes the data required by professional software through the data exchange service center and pushes it to the professional software, greatly reducing the workload of importing, exporting and processing data generated by data applications between platform and software / software and software;

[0073] Data interconnection across software improves business research efficiency;

[0074] Establish professional software data exchange standards to achieve seamless cross-software data exchange: Through the data exchange service center, break through the data barriers formed by professional software, open up data interconnection between professional software, and fully support close collaboration of various professional processes and work links;

[0075] Collaborative report writing improves the efficiency of research summary organization and the delivery capability of scientific research projects: For standardized reports (format, chapter content, etc.), the first draft of the report is automatically generated according to the report template (including the attached figures and tables within the main framework of the report, which can complete 60%-70% of the workload). The concluding contents that need to be summarized and refined in the report are edited and completed by multiple researchers online;

[0076] After the development, drilling and completion, engineering and economic evaluation professionals have completed the writing of the sub-project reports, the platform will automatically splice the sub-project reports into a preliminary research summary report according to the structure of the preliminary research report;

[0077] Business information acquisition and results quality control approval on mobile APP: Through the mobile APP, you can obtain drilling information and production dynamic data, directly check the project team results data on the mobile phone, and conduct results quality control review;

[0078] Online results review: retrieve key results or interpretation models online to review results, answer questions, and conduct quality control; manage and share well data and geological model data online according to interpretation work areas, and retrieve and display them in real time;

[0079] Comprehensive research project progress tracking and management; data entry and archiving: After the project acceptance inspection is completed, the project engineer will organize and submit the research results data according to the entry into the lake collection specifications, and the data engineer will check the data quality. After confirmation, the data will be entered into the lake, completing the business closed loop of data "collection, storage, management, and use".

[0080] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for constructing an integrated collaborative research platform for petroleum exploration and development, characterized in that: It includes an integrated collaborative research platform and an integrated collaborative research solution. The integrated collaborative research platform includes a data resource integration system, a service and software resource integration system, and a service scenario construction system; The data resource integration system includes a collaborative research project library, a data lake standard library, and an application library; The service and software resource integration system includes project library, service registration and management, related services and component resources, and scenario configuration services; The service scenario construction system includes a business scenario configuration construction unit and an application scenario configuration construction unit; The integrated collaborative research solution includes: collaborative research application mode, realizing the collaborative research environment of exploration research and preliminary research, providing the required management process, research data, commercial software, and auxiliary tool support for each subtask scenario, and driving the seamless connection of research business flow according to the natural transmission of data flow in each business scenario, and combining the business model visualization application with unified data standards; The specific steps include: S1. Integrate work elements: The platform organically integrates a series of work elements such as data, tools, and processes according to business characteristics. When conducting research work, it accurately provides a series of work resources such as basic data, knowledge data, and research tools required, opens up data links between businesses and software, promotes all-round business collaboration, and supports the efficient development of research work; S2. Push basic data processing: Preliminary processing, integration, refinement, extraction of useful data, and search for key data in the data lake standard library; S3. Data sharing and push: Taking advantage of digitalization and informatization, new data generated upstream can be perceived in real time by downstream researchers after being released, and they can directly obtain and apply it. When conducting research work, the platform automatically pushes the required basic research data to achieve data sharing and use; S4. Rich and accurate knowledge push: Build basic knowledge management applications for oil and gas exploration and development, realize the application of petroleum encyclopedia, oil and gas expert database, and work guidance; realize knowledge push, intelligent retrieval and a series of intelligent knowledge applications through knowledge graph technology; S5. Multi-type business data analysis application: In research work, data analysis tools are provided to help users analyze large amounts of data, assist users in analyzing data validity, relevance, denoising, and summarizing data patterns; at the same time, graphing, calculation, and reporting tools are provided to assist researchers in compiling research results; S6. Assisted intelligent analysis: Apply artificial intelligence technology to analyze and predict research processes with large amounts of data and complex processing through intelligent models; S7. Comprehensive analysis of business models: Combined with petroleum data visualization technology, strengthen geological modeling and model data management for a series of research objects such as wellbore, reservoir, and oil reservoir, and integrate geology according to the life cycle of geological objects in combination with the collaborative research project library; S8. Unified management of business models: Unified management of business models, converting model data into a common format through the data exchange service center, and providing unified model data application services to support online sharing and transmission of different professional business model results data during the research process; S9. Data interconnection across software: The platform exchanges and processes the data required by professional software through the data exchange service center and pushes it to the professional software; S10. Establish professional software data exchange standards: Establish professional software data exchange standards to achieve seamless cross-software data exchange; S11. Collaborative report writing: The first draft of the standardized report is automatically generated according to the report template. The concluding contents that need to be summarized and refined in the report are edited and completed by multiple researchers online; After the development, drilling and completion, engineering and economic evaluation professionals have completed the writing of the sub-project reports, the platform will automatically splice the sub-project reports into a preliminary research summary report according to the structure of the preliminary research report; S12. Business information acquisition and results quality control approval on the mobile APP: Through the mobile APP, drilling information and production dynamic data can be obtained, and the project team results data can be directly checked on the mobile phone to conduct results quality control review; S13. Online results review: retrieve key results or interpretation models online to review results, answer questions, and conduct quality control; manage and share well data and geological model data online according to interpretation work areas, and retrieve and display them in real time; S14. Comprehensive research project progress tracking and management; S15. Data entry and archiving: After the project acceptance inspection is completed, the project engineer will organize and submit the research results data according to the entry into the lake collection specifications, and the data engineer will check the data quality. After confirmation, the data will be entered into the lake, completing the business closed loop of data "collection, storage, management, and use".

2. A method for constructing an integrated collaborative research platform for petroleum exploration and development according to claim 1, characterized in that: The data resource integration system serves as the source platform for collecting exploration research and preliminary research results data. The basic data required for the research is taken from the data lake standard library. The research results data generated are entered into the data lake standard library in accordance with the specifications. The process self-built data and application data must establish an interface with the exploration and development project library.

3. A method for constructing an integrated collaborative research platform for petroleum exploration and development according to claim 1, characterized in that: The business scenario configuration building unit realizes the association of business units with business data and business roles through the five dimensions of business units: object domain, business domain, work domain, business process and professional domain; Accurately describe business research scenarios, establish the relationship between business data and business work, and achieve precise configuration of business work resources: data, tools, and software.

4. A method for constructing an integrated collaborative research platform for petroleum exploration and development according to claim 1, characterized in that: The application scenario configuration builds the application resources and data resource service capabilities of the application integrated collaborative platform. Through low-code configuration methods, the research work elements are organized according to the smallest research work scenario, and the main functional framework of the smallest research scenario is quickly built and released. Then, according to the business work content, the research work scenarios are assembled to form project scenarios.

5. A method for constructing an integrated collaborative research platform for petroleum exploration and development according to claim 1, characterized in that: The collaborative research project library serves as a source platform for collecting data on exploration research and preliminary research results, and the data lake standard library provides the basic data required for research; The service and software resource integration system provides service and application support for the scenario construction and operation of the service scenario construction system.

6. A method for constructing an integrated collaborative research platform for petroleum exploration and development according to claim 1, characterized in that: The comprehensive model analysis in S7 supports researchers’ online preview and viewing, and supports data analysis, knowledge acquisition and data application for a series of research work on wells, reservoirs and oil fields.

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