Cloud logging comprehensive service system and method without comprehensive logging instrument
Through the cloud-recording comprehensive service system without integrated well recording instruments, the cloud platform is used for data processing and remote monitoring, the problem of high equipment and personnel requirements in the well site environment in the existing technology is solved, and more efficient and higher-quality drilling and exploration construction services are achieved.
Patent Information
- Application Number
- CN202311541460.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-17
- Publication Date
- 2025-05-20
AI Technical Summary
In the exploration and development of oil drilling, the well site environment has high requirements for equipment and personnel, resulting in high production costs, poor living environment, and intensive professional and technical personnel for monitoring and service.
The cloud-recording comprehensive service system without a comprehensive well recording instrument is adopted. The system obtains multiple on-site data through the well site information interaction module, and the cloud-recording system service platform performs data processing and storage. It interacts with the expert team through the overall decision-making center to generate service instructions to realize remote monitoring and management of drilling construction.
It reduces the number of professional and technical personnel at field construction sites, reduces labor costs, improves working and living conditions, and achieves more efficient and higher-quality drilling and exploration construction services.
Smart Images

Figure CN120020356A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of oil drilling exploration and development, and particularly to a cloud logging integrated service system and method without a comprehensive logging instrument. Background Art
[0002] In the field of oil drilling exploration and development, logging construction monitoring and service is one of the core construction processes; in the existing technology, the whole-process drilling construction service is generally completed by a professional logging company with the help of a logging instrument. At the drilling construction site, generally, one comprehensive logging instrument is configured, and with the help of numerous sensors distributed in the well site, the monitoring of the drilling working conditions is realized, and with the help of the supporting chromatographic analyzer, the continuous monitoring of the downhole gas is realized. The comprehensive logging instrument at the well site can judge the drilling working conditions through the on-site sensor data and chromatographic analysis data, and automatically give early warnings for abnormal conditions, so as to provide suggestions for the construction party and ensure the safety of production construction. For example, the logging service modes mainly include the following three types: 1. Conventional logging instrument service mode: mainly composed of equipment such as a comprehensive logging instrument, wired sensors, and chromatographic analyzers, providing real-time logging services for the drilling construction site. 2. Wireless logging instrument service mode: mainly composed of equipment such as a comprehensive logging instrument, wireless sensors, and chromatographic analyzers, providing real-time logging services for the drilling construction site. 3. Cluster comprehensive logging instrument service mode: mainly composed of equipment such as a comprehensive logging instrument, multiple sets of wireless sensors, and multiple sets of chromatographic analyzers, providing real-time logging services for the drilling construction site in the well factory mode.
[0003] In summary, in the existing well site construction, mainly centered around the comprehensive logging instrument platform, by collecting data from various sensors distributed in the well site, the monitoring of the drilling construction working conditions is realized, and various services are provided for the construction party. In this service mode, a complete data acquisition system needs to be established at each drilling well site, and one logging instrument needs to be configured respectively. Correspondingly, logging professional and technical personnel are concentrated in the field construction site. The concentration of technical personnel results in high labor costs for the logging company in the field operation, poor field working environment, poor living conditions, and long-term field work, which is likely to have an adverse impact on the psychology and physical health of personnel.
[0004] The information disclosed in the background art part of the present invention is only intended to deepen the understanding of the general background art of the present invention, and should not be regarded as an admission or any form of suggestion that this information constitutes the prior art known to those skilled in the art. Summary of the Invention
[0005] To solve the above problems, the present invention provides a cloud logging comprehensive service system without a comprehensive logging instrument. The system is provided with a wellsite information interaction module including wellsite information interaction units distributed in different areas of the wellsite, which are used to obtain multi-source on-site data corresponding to the wellsite areas; the cloud logging system service platform remotely obtains the multi-source on-site data of the wellsite through a high-speed communication module; the overall decision-making center interacts with the cloud logging system service platform and the expert team through the Internet to generate service instructions. This solution can effectively overcome the disadvantages of the prior art, such as high requirements for equipment and personnel in the wellsite environment, dense on-site experts and technicians, high production costs, and poor living environment. It realizes cross-regional establishment of data acquisition and processing, and the migration of experts and technicians to the rear base, providing more efficient and high-quality services for drilling exploration construction. Preferably, in one embodiment, the system includes:
[0006] An overall decision-making center 1, an Internet module 2, a cloud logging system service platform 3, a high-speed communication module 4, and a wellsite information interaction module;
[0007] The wellsite information interaction module includes at least one wellsite information interaction unit, and the wellsite information interaction units are distributed in different areas of the wellsite. Each wellsite information interaction unit is used to obtain multi-source on-site data corresponding to the wellsite area, including real-time monitoring data, wellsite materials, and production instruction data;
[0008] The cloud logging system service platform is connected to the wellsite information interaction module through the high-speed communication module to remotely obtain the multi-source on-site data of the wellsite; a storage service subsystem matching various on-site data is set in the cloud logging system service platform, which is used to store various on-site data into the set cloud database;
[0009] The cloud logging system service platform further includes a multi-angle data processing module, which is used to perform multi-angle processing on the stored multi-source on-site data to obtain parameters matching different business service requirements;
[0010] The overall decision-making center interacts with the cloud logging system service platform and the expert team through the Internet, and can generate and provide service instructions reflecting the decisions of the expert team based on the processed parameters, providing support for the wellsite information interaction module and the upper-level integrated control center.
[0011] In an optional embodiment, each wellsite information interaction unit includes Internet of Things sensors, Internet of Things instrument devices, a wellsite material processing system, a production instruction system, and a wellsite information interaction system within the scope of its wellsite area.
[0012] Furthermore, in one embodiment, each sub-structure in each wellsite information interaction unit is respectively connected to the corresponding storage service subsystem in the cloud logging system service platform through the high-speed communication module, and the data is stored in the cloud database through the Internet of Things cloud data storage service.
[0013] Preferably, in one embodiment, each sub-structure in each wellsite information interaction unit respectively has the attributes of breakpoint resumption, integrity verification, and self-status diagnosis.
[0014] In an alternative embodiment, the multi-angle data processing module includes a mud logging monitoring system service platform, a geological data processing system service platform, a drilling data processing system service platform, and other expert system service platforms set according to requirements.
[0015] Further, in an alternative embodiment, the overall decision-making center is connected to the cloud mud logging system service platform through the Internet. Different expert teams generate service instructions based on the overall decision-making center via the Internet according to multi-source on-site data and processed parameters. The service instructions include service instructions for each sub-structure in the cloud mud logging system service platform and the wellsite information interaction unit.
[0016] Regarding the application aspect of the system in any one or more of the above embodiments, the present invention further provides a cloud mud logging comprehensive service method without a comprehensive mud logging instrument. This method applies the system in any one or more of the above embodiments, and the method includes:
[0017] System setting step: Set one or more wellsite information interaction units in one or more areas at the wellsite according to requirements to form the wellsite information interaction module of the system, and set and verify the high-speed communication module between the wellsite information interaction module and the cloud mud logging system service platform;
[0018] Multi-source data acquisition step: Use the wellsite information interaction module to acquire multi-source on-site data corresponding to the areas at the wellsite, including real-time monitoring data, wellsite data, and production instruction data;
[0019] Data transmission and storage step: The wellsite information interaction module transmits the acquired data to the cloud mud logging system service platform through the high-speed communication module and stores it in the cloud database;
[0020] Data processing step: The multi-angle data processing module performs multi-angle processing on the stored multi-source on-site data to obtain parameters that match different business service requirements;
[0021] Control decision-making module: Expert teams obtain data from the cloud mud logging system service platform through the Internet and generate service instructions based on them through the overall decision-making center to provide support for the wellsite information interaction module and the upper-level comprehensive control center.
[0022] Further, in one embodiment, each sub-structure in each wellsite information interaction unit is respectively connected to the corresponding storage service subsystem in the cloud mud logging system service platform through the high-speed communication module, and the data is stored in the cloud database through the Internet of Things cloud data storage service.
[0023] In an alternative embodiment, each sub-structure in each wellsite information interaction unit has the attributes of breakpoint resumption, integrity verification, and self-status diagnosis respectively.
[0024] Based on other aspects of the method described in any one or more of the above embodiments, the present invention further provides a storage medium, on which program code capable of implementing the method described in any one or more of the above embodiments is stored.
[0025] Compared with the closest prior art, the present invention also has the following beneficial effects:
[0026] The present invention provides a cloud logging comprehensive service system and method without a comprehensive logging instrument. The system is provided with a wellsite information interaction module including wellsite information interaction units distributed in different areas of the wellsite, which is used to obtain real-time monitoring data, wellsite materials, and production instruction data of the corresponding wellsite area; the cloud logging system service platform is connected to the wellsite information interaction module through a high-speed communication module to remotely obtain the multi-source on-site data of the wellsite; the cloud logging system service platform stores the on-site data through a storage service subsystem; the overall decision-making center interacts with the cloud logging system service platform and the expert team through the Internet, and generates and provides service instructions reflecting the decisions of the expert team based on the parameters processed by the multi-angle data processing module. By adopting this solution, a comprehensive logging instrument is no longer required to be equipped at the wild drilling construction site, and there is no need to establish a dedicated data acquisition system within the wellsite area. The data of various sensors and equipment on-site are directly uploaded to the cloud logging platform, realizing the establishment of a data acquisition system across regions. With the help of this platform, various experts and technical personnel concentrated at the drilling construction site are relocated to the rear base, greatly reducing the on-site personnel, reducing the labor cost of wild construction, and improving the working and living conditions of the personnel. The establishment of the cloud database is more conducive to data management and secondary development, more conducive to the establishment of professional systems, and more conducive to the construction of professional service teams, providing more efficient, professional, and high-quality services for drilling exploration construction.
[0027] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in the specification, claims, and drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0028] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification, and are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention. In the drawings:
[0029] Figure 1It is a schematic structural diagram of a cloud logging comprehensive service system without a comprehensive logging instrument provided by an embodiment of the present invention;
[0030] Figure 2 It is a schematic diagram of the setting principle of a cloud logging comprehensive service system without a comprehensive logging instrument provided by an embodiment of the present invention;
[0031] Figure 3 It is a schematic diagram of the data communication principle of a cloud logging comprehensive service system without a comprehensive logging instrument provided by an embodiment of the present invention;
[0032] Figure 4 It is a schematic flowchart of a cloud logging comprehensive service method without a comprehensive logging instrument provided by an embodiment of the present invention. Detailed implementation manners
[0033] The following will combine the drawings and embodiments to detail the implementation manners of the present invention, so that the implementers of the present invention can fully understand how to apply technical means to solve technical problems and achieve the implementation process of technical effects, and specifically implement the present invention according to the above implementation process. It should be noted that as long as there is no conflict, each embodiment in the present invention and each feature of each embodiment can be combined with each other, and the formed technical solutions are all within the protection scope of the present invention.
[0034] Although the flowchart describes the operations as sequential processes, many of the operations can be performed in parallel, concurrently, or simultaneously. The order of the operations can be rearranged. When the operations are completed, the process can be terminated, but there can also be additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.
[0035] The computer device includes a user device and a network device. Among them, the user device or client includes but is not limited to a computer, a smart phone, a PDA (Personal Digital Assistant), etc.; the network device includes but is not limited to a single network server, a server group composed of multiple network servers, or a cloud composed of a large number of computers or network servers based on cloud computing. The computer device can run alone to implement the present invention, or can be connected to the network and implement the present invention through interaction with other computer devices in the network. The network where the computer device is located includes but is not limited to the Internet, a wide area network, a metropolitan area network, a local area network, a VPN network, etc.
[0036] The terms "first", "second", etc. may be used herein to describe various elements, but these elements should not be limited by these terms. These terms are only used to distinguish one element from another. The term "and / or" used herein includes any and all combinations of one or more of the associated listed items. When an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element, or intervening elements may be present.
[0037] The terms used herein are merely for the purpose of describing particular embodiments and are not intended to limit the exemplary embodiments. Unless the context clearly dictates otherwise, the singular forms "a", "an" used herein are also intended to include the plural. It should also be understood that the terms "comprises" and / or "comprising" specify the presence of the stated features, integers, steps, operations, elements, and / or components, and do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or combinations thereof.
[0038] In the field of oil drilling exploration and development, realizing the mud logging construction monitoring and service for wells in different regions is one of the core construction processes; in the existing technology, the whole-process drilling construction service is generally completed by a specialized mud logging company with the aid of a mud logging instrument. At the drilling construction site, generally, 1 integrated mud logging instrument is configured, and with the help of numerous sensors distributed in the well site, the monitoring of drilling conditions is realized, and with the aid of the supporting chromatographic analyzer, the continuous monitoring of downhole gases is realized. The integrated mud logging instrument at the well site can judge the drilling conditions through the on-site sensor data and chromatographic analysis data, and automatically give early warnings for abnormal conditions, so as to provide suggestions for the construction party and ensure the safety of production construction.
[0039] Currently, there are mainly the following three mud logging service modes: 1. Conventional mud logging instrument service mode: mainly composed of equipment such as an integrated mud logging instrument, wired sensors, and chromatographic analyzers, providing real-time mud logging services for the drilling construction site. 2. Wireless mud logging instrument service mode: mainly composed of equipment such as an integrated mud logging instrument, wireless sensors, and chromatographic analyzers, providing real-time mud logging services for the drilling construction site. 3. Cluster integrated mud logging instrument service mode: mainly composed of equipment such as an integrated mud logging instrument, multiple sets of wireless sensors, and multiple sets of chromatographic analyzers, providing real-time mud logging services for the drilling construction site in the well factory mode.
[0040] In summary, in the implementation of the existing mud logging service method, the comprehensive mud logging instrument is used as the central platform at the drilling construction site. By collecting data from various sensors distributed in the well site, the monitoring of the drilling construction conditions is realized, and various services are provided for the construction party on site. In this service mode, a complete data acquisition system needs to be established at each drilling well site, and one mud logging instrument needs to be equipped respectively. Correspondingly, mud logging professional and technical personnel are concentrated in the wild construction site. The concentration of technical personnel results in high labor costs for the mud logging company in the wild, poor working environment in the wild, and poor living conditions. Working in the wild for a long time is likely to have an adverse impact on the psychology and physical health of personnel.
[0041] With the rapid development of sensor technology, communication technology, embedded technology, and distributed processing technology, various sensors, radio frequency modules, intelligent terminals, radio frequency communications and other devices together constitute a hardware support platform for real-time, accurate perception, measurement, and monitoring of the real physical world. The Internet of Things has quickly reached every corner of society. The Internet of Things makes the interaction between people and things simpler and more convenient, and also realizes the connection between things and things. The Internet of Things has changed from an idea to a reality. The cloud mud logging service based on the Internet of Things will surely be one of the important development directions of future drilling construction services.
[0042] The researchers of the present invention considered that, due to the rapid development of network technology, especially the increasing maturity of wireless transmission technology, the remote transmission of mud logging data has been effectively popularized. Each mud logging company has built a dedicated mud logging data remote transmission system to transmit the data of the on-site comprehensive mud logging instrument to the data center of the remote base, enabling the further development and utilization of on-site mud logging data and the remote monitoring and management of multiple construction sites. Based on this, in order to overcome the above-mentioned disadvantages, the present invention provides a cloud mud logging service mode based on multi-source data remote processing. There is no need to equip a comprehensive mud logging instrument at the wild drilling construction site, and there is no need to establish an exclusive data acquisition system within the well site area. The data of various sensors and equipment on site are directly uploaded to the cloud mud logging platform, realizing the establishment of a data acquisition system across regions. There is no need to centrally dispatch professional and technical personnel on site at the well site, and based on the established cloud database, mud logging construction decision-making and control are realized, which is more conducive to data management and secondary development, and is more conducive to improving the timeliness and comprehensiveness of mud logging construction management and control.
[0043] Next, the structural components, connection methods, and functional principles of the system of the embodiments of the present invention will be described in detail based on the accompanying drawings. Although the logical order of each operation is shown in the process of describing the operation principle of the system structure, in some cases, the operations shown or described can be executed in a different order than here.
[0044] Embodiment 1
[0045] Figure 1The structural schematic diagram of the cloud logging comprehensive service system without a comprehensive logging instrument provided in the first embodiment of the present invention is shown. Referring to Figure 1 it can be seen that the system includes: an overall decision-making center 1, an Internet module 2, a cloud logging system service platform 3, a high-speed communication module 4, and a wellsite information interaction module;
[0046] The wellsite information interaction module includes at least one wellsite information interaction unit, and the wellsite information interaction units are distributed in different areas of the wellsite. Each wellsite information interaction unit is used to obtain multivariate on-site data corresponding to the wellsite area, including real-time monitoring data, wellsite materials, production instruction data, etc.;
[0047] The cloud logging system service platform is connected to the wellsite information interaction module through the high-speed communication module to remotely obtain the multivariate on-site data of the wellsite; a storage service subsystem matching various on-site data is set in the cloud logging system service platform; it is used to store various on-site data into the set cloud database;
[0048] The cloud logging system service platform further includes a multi-angle data processing module, which is used to perform multi-angle processing on the stored multivariate on-site data to obtain parameters matching different business service requirements;
[0049] The overall decision-making center interacts with expert teams of different types in different regions through the Internet, generates and provides service instructions reflecting the decisions of the expert teams based on the processed parameters, and provides support for the wellsite information interaction module and the upper comprehensive control center.
[0050] Figure 2 The setting structure diagram of the cloud logging comprehensive service system without a comprehensive logging instrument in the embodiment of the present invention is shown. As Figure 2 shown, the system includes an overall decision-making center 1, an Internet module 2, a cloud logging system service platform 3, a high-speed communication module 4, and a wellsite information interaction module; different expert teams support the overall decision-making center to interact with the cloud logging system service platform through the Internet; the wellsite information interaction module includes wellsite information interaction units 5, 6, 7, 8 distributed in different regions.
[0051] The wellsite information interaction units 5, 6, 7, 8 distributed in different regions and the high-speed dedicated network 4 form a cross-regional cloud data acquisition system, which interacts with the cloud logging system service platform.
[0052] Each wellsite information interaction unit includes Internet of Things devices, wellsite data processing systems, production instruction systems, and other information interaction systems within its wellsite area. Preferably, the Internet of Things devices include, but are not limited to, Internet of Things sensors, Internet of Things meters, etc. Preferably, all the Internet of Things sensors, Internet of Things instruments, Internet of Things meters, production instruction systems, wellsite data processing systems, and other wellsite information interaction systems in each drilling wellsite respectively form wellsite information interaction units 5, 6, 7, and 8. Internet of Things instruments include, but are not limited to, various Internet of Things instruments, meters, chromatographs, acquisition devices, control devices, audio and video devices, etc. used at the wellsite.
[0053] In an alternative embodiment, the wellsite information interaction units 5, 6, 7, and 8 located in the field include, but are not limited to, various Internet of Things devices e(1), f(1), …, m(1) at the wellsite, wellsite data processing systems e(2), f(2), …, m(2), production instruction systems e(3), f(3), …, m(3), and other wellsite information interaction systems e(n), f(n), …, m(n), etc. Among them, services such as chromatographic analysis and cuttings collection are iterated with miniaturized and automated Internet of Things instruments.
[0054] In actual application, the Internet of Things devices configured at the drilling wellsite directly send data to the cloud logging system service platform 3 to establish a cross-regional data acquisition system. In the wellsite area, a data acquisition system is no longer established with the on-site logging instrument as the platform.
[0055] Furthermore, in a preferred embodiment, each sub-structure in each wellsite information interaction unit is respectively connected to the corresponding storage service subsystem in the cloud logging system service platform through a high-speed communication module, and the data is stored in the cloud database through the Internet of Things cloud data storage service.
[0056] In an alternative embodiment, each sub-structure in each wellsite information interaction unit respectively has the attributes of breakpoint resumption, integrity verification, and self-status diagnosis.
[0057] Specifically, the Internet of Things devices e(1), f(1), …, m(1) are connected to the corresponding Internet of Things device cloud data storage service d(1) through a wireless or wired high-speed dedicated network 4, and the data is stored in the cloud database c through the Internet of Things device cloud data storage service d(1). The Internet of Things device cloud data storage service d(1), the Internet of Things devices e(1), f(1), …, m(1) all have intelligent functions such as breakpoint resumption, integrity verification, and self-status diagnosis to ensure the complete and accurate upload of data.
[0058] The wellsite data processing systems e(2), f(2), …, m(2) are connected to the corresponding wellsite data cloud data storage services d(2) through a wireless or wired high-speed dedicated network 4, and store the data into the cloud database c through the drilling data cloud data storage service d(2). The wellsite data cloud data storage services d(2), wellsite data processing systems e(2), f(2), …, m(2) all have intelligent functions such as resume interrupted transfer, integrity verification, and self-status diagnosis to ensure the complete and accurate upload of data.
[0059] The production instruction systems e(3), f(3), …, m(3) are connected to the corresponding production instruction cloud data storage services d(3) through a wireless or wired high-speed dedicated network 4, and store the data into the cloud database c through the production instruction cloud data storage service d(3). The production instruction cloud data storage services d(3), production instruction systems e(3), f(3), …, m(3) all have intelligent functions such as resume interrupted transfer, integrity verification, and self-status diagnosis to ensure the complete and accurate upload of data.
[0060] Other wellsite information interaction systems e(n), f(n), …, m(n) are connected to the corresponding wellsite information interaction cloud data services d(n) through a wireless or wired high-speed dedicated network 4, and store the data into the cloud database c through the other wellsite information interaction cloud data services d(n). The other wellsite information interaction cloud data services d(n), other wellsite information interaction systems e(n), f(n), …, m(n) all have intelligent functions such as resume interrupted transfer, integrity verification, and self-status diagnosis to ensure the complete and accurate upload of data.
[0061] Furthermore, the cloud logging system service platform 3 includes, but is not limited to, the logging monitoring system service platform b(1), wellsite data processing system service platform b(2), production instruction system service platform b(3), …, other information interaction system service platforms b(n), cloud database c, Internet of Things device cloud data storage service d(1), wellsite data cloud data storage service d(2), production instruction cloud data storage service d(3), …, other wellsite information interaction cloud data services d(n), etc.
[0062] Preferably, in one embodiment, the cloud logging system service platform 3 is connected to the wellsite information interaction units 5, 6, 7, 8 through a wired or wireless high-speed dedicated network 4.
[0063] The cloud logging system service platform further includes a multi-angle data processing module for performing multi-angle processing on the stored multi-source on-site data to obtain parameters that match different business service requirements;
[0064] In a preferred embodiment, the multi-angle data processing module includes a mud logging monitoring system service platform b(1), a wellsite data processing system service platform b(2), a production instruction system service platform b(3), …, other expert system service platforms b(n) set according to requirements; the data in the cloud database c is re-developed to form parameters for professional system service platforms such as, but not limited to, the mud logging monitoring system service platform b(1), the wellsite data processing system service platform b(2), the production instruction system service platform b(3), …, other expert system service platforms b(n).
[0065] The mud logging monitoring system service platform b(1), the wellsite data processing system service platform b(2), the production instruction system service platform b(3), …, other expert system service platforms b(n), etc. read multi-source on-site data (wild wellsite data) in real time through the cloud database c, and store the derived data calculated by the service platform in the cloud database c in real time, which is convenient for the overall decision-making center to call and provide data support for the expert team to generate service instructions for decision-making.
[0066] Connection relationships can be established among the mud logging monitoring system service platform b(1), the wellsite data processing system service platform b(2), the production instruction system service platform b(3), …, other expert system service platforms b(n) through the cloud database c, and data of other platforms or systems can be used based on the set permissions.
[0067] Connection relationships can be established among the Internet of Things device cloud data storage service d(1), the wellsite data cloud data storage service d(2), the production instruction cloud data storage service d(3), …, other wellsite information interaction cloud data services d(n) through the cloud database c, and data of other databases can be stored and used based on the set permissions.
[0068] Connection relationships can be established among the modules of the wellsite information interaction units 5, 6, 7, 8 through the cloud database c, and data of other platforms or systems can be used based on the set permissions.
[0069] On the other hand, the expert team is located in the overall decision-making center 1 of the rear base, and the overall decision-making center is connected to the cloud mud logging system service platform 3 through the Internet 2.
[0070] The overall decision-making center interacts with expert teams of different types in different regions through the Internet, generates and provides service instructions reflecting the decisions of the expert team based on the processed parameters, and provides support for the wellsite information interaction module and the upper comprehensive control center.
[0071] Among them, the overall decision-making center is connected to the wellsite information interaction module through a high-speed dedicated network to realize the transmission of service instructions; the upper comprehensive control center can be an upper control center or system located at the wellsite or in the background that generates construction control instructions. In actual application, the overall decision-making center is connected to the upper comprehensive control center through the Internet to realize the real-time transmission of service instructions.
[0072] Specifically, in an optional embodiment, the overall decision-making center is connected to the cloud logging system service platform through the Internet. Different expert teams generate service instructions based on multiple on-site data and processed derived parameters to the overall decision-making center through the Internet. The service instructions include service instructions for each sub-structure in the cloud logging system service platform and the wellsite information interaction unit.
[0073] Different expert teams use the multiple on-site data and processed derived data provided by the cloud logging system service platform to generate service instructions in the overall decision-making center, and send the service instructions to the wellsite information interaction unit and the upper comprehensive control center.
[0074] The expert team of the overall decision-making center interacts with the cloud logging system service platform through the Internet, can generate service instructions reflecting the decisions of the expert team based on the information provided by the cloud logging system service platform, and transmit them to the production instruction system at the wellsite or other wellsite information interaction systems through the production instruction system platform. In addition, the overall decision-making center 1 can also establish a connection with the Internet of Things devices on-site through the instruction system platform to convey service instructions to the Internet of Things devices.
[0075] In a preferred embodiment, the expert team includes, but is not limited to, a logging service team a(1), a geological service team a(2), a drilling service team a(3), and other service teams a(n) composed of various experts and professional and technical personnel.
[0076] Based on this, in actual application, the overall decision-making center 1 is connected to the cloud logging system service platform 3 through the Internet 2, and then interacts with the wellsite information interaction units 5, 6, 7, 8 distributed in different regions through the high-speed dedicated network 4, such as sending decision-making service instructions, providing various service data, etc., effectively providing decision-making data services for the wellsite interaction system.
[0077] Optionally, after the decision service instructions are generated, they can be directly transmitted through this system or provided directionally through other secure channels. Specifically, the service instructions for the expert team's decision-making are generated by the expert team in the overall decision-making center 1 located at the rear base based on the comprehensive information provided by the cloud logging system service platform. The generated instruction types include production construction instructions, production construction suggestions, working condition warning information, equipment control instructions, etc. Among them, production construction instructions, production construction suggestions, working condition warning information, etc. can be transmitted to the construction site through this system platform or by means of secure communication means, such as telephones, dedicated information interaction software, dedicated equipment, etc. The equipment control instructions must be transmitted to the Internet of Things devices e(1), f(1)... m(1) through the Internet 2, the production instruction system service platform b(3), the database c, the production instruction system cloud service d(3), the high-speed communication module 4, and the production instruction system e(3). Preferably, the ways for the overall decision-making center 1 to send decision instructions include but are not limited to this system platform, and can also be conveyed through other secure channels, such as telephones, chat software, dedicated equipment, etc.
[0078] The logging service team a(1), the geological service team a(2), the drilling service team a(3), and other service teams a(n), etc. are connected to the corresponding logging monitoring system service platform b(1), wellsite data processing system service platform b(2), production instruction system service platform b(3),..., other expert system service platforms b(n), etc. through the Internet 2.
[0079] Preferably, the logging service team a(1), the geological service team a(2), the drilling service team a(3), and other service teams a(n), etc. can cross-access the platform data of the logging monitoring system service platform b(1), wellsite data processing system service platform b(2), production instruction system service platform b(3),..., other expert system service platforms b(n), etc. with permissions to obtain more comprehensive production comprehensive information of the well and monitor the construction status of the well in real time.
[0080] Preferably, the logging service team a(1), the geological service team a(2), the drilling service team a(3), and other service teams a(n) can provide decision-making basis for decision-makers or other control application systems and can also communicate with each other; as Figure 3 shown.
[0081] Preferably, the mud logging service team a(1), the geological service team a(2), the drilling service team a(3), and other service teams a(n), etc., can interact with the wellsite information interaction unit 5 located at the wild construction site to complete the issuance of production instructions or technical support, etc. In this embodiment, compared with the existing mud logging service mode, the number of on-site operators is greatly reduced, and the main technical personnel experts are concentrated in cloud office.
[0082] With the help of this system platform, the comprehensive mud logging instrument is no longer equipped at the wild drilling construction site, and a dedicated data acquisition system is no longer established within the wellsite area. The data of various sensors and equipment on-site are directly uploaded to the cloud mud logging platform, realizing the establishment of a data acquisition system across regions. With the help of this platform, various experts and technical personnel concentrated at the drilling construction site are relocated to the rear base, the on-site personnel are greatly reduced, the labor cost of wild construction is reduced, and the working and living conditions of personnel are improved. The establishment of the cloud database is more conducive to data management and secondary development, more conducive to the establishment of professional systems, and more conducive to the construction of professional service teams, providing more professional and high-quality services for drilling exploration construction.
[0083] The overall decision-making center is connected to the cloud mud logging system service platform through the Internet and is used to generate service instructions for each sub-structure in the cloud mud logging system service platform and the wellsite information interaction unit according to multivariate on-site data; different expert teams provide decision-making suggestions to the overall decision-making center through the Internet to generate adapted service instructions.
[0084] In the cloud mud logging integrated service system without a comprehensive mud logging instrument provided by the embodiment of the present invention, each module or unit structure can operate independently or in combination according to actual data processing requirements and decision control requirements to achieve corresponding technical effects.
[0085] Embodiment 2
[0086] In the above embodiments publicly disclosed by the present invention, the system is described in detail. Based on other aspects of the system described in any one or more of the above embodiments, the present invention also provides a cloud mud logging integrated service method without a comprehensive mud logging instrument, and this method is applied to the cloud mud logging integrated service system described in any one or more of the above embodiments. Specific embodiments are given below for detailed description.
[0087] Specifically, Figure 4 shows a schematic flowchart of the cloud mud logging integrated service method without a comprehensive mud logging instrument provided by the embodiment of the present invention. As Figure 4 shown, this method is applied to the cloud mud logging integrated service system described in the above embodiments, and this method includes:
[0088] System setup steps: Set up wellsite information interaction units in one or more areas at the wellsite according to requirements to form the wellsite information interaction module of the system, and set up and verify the high-speed communication module between the wellsite information interaction module and the cloud mud logging system service platform;
[0089] Multi-source data acquisition steps: Use the wellsite information interaction module to acquire multi-source on-site data in the corresponding areas of the wellsite, including real-time monitoring data, wellsite information, and production instruction data;
[0090] Data transmission and storage steps: The wellsite information interaction module transmits the acquired data to the cloud mud logging system service platform through the high-speed communication module and stores it in the cloud database;
[0091] Data processing steps: The multi-angle data processing module performs multi-angle processing based on the multi-source on-site data to obtain parameters that match different business service requirements;
[0092] Control decision-making module: The expert team obtains the data of the cloud mud logging system service platform through the Internet, generates service instructions through the overall decision-making center based on it, and provides support for the wellsite information interaction module and the upper comprehensive control center.
[0093] Among them, the cloud mud logging comprehensive service system without a comprehensive mud logging instrument includes: an overall decision-making center, an Internet module, a cloud mud logging system service platform, a high-speed communication module, and a wellsite information interaction module;
[0094] The wellsite information interaction module includes at least one wellsite information interaction unit, and the wellsite information interaction units are distributed in different areas of the wellsite. Each wellsite information interaction unit is used to acquire multi-source on-site data in the corresponding wellsite area, including real-time monitoring data, wellsite information, and production instruction data;
[0095] The cloud mud logging system service platform is connected to the wellsite information interaction module through the high-speed communication module to remotely acquire the multi-source on-site data of the wellsite; a storage service subsystem matching various on-site data is set in the cloud mud logging system service platform for storing various on-site data in the set cloud database;
[0096] The cloud mud logging system service platform also includes a multi-angle data processing module for performing multi-angle processing based on the stored multi-source on-site data to obtain parameters that match different business service requirements;
[0097] The overall decision-making center interacts with the cloud mud logging system service platform and the expert team through the Internet, and can generate and provide service instructions reflecting the decision of the expert team based on the processed parameters and transmit them to the wellsite information interaction module and the comprehensive control center.
[0098] In an alternative embodiment, each wellsite information interaction unit includes Internet of Things sensors, Internet of Things instrumentation, wellsite data processing systems, production instruction systems, and wellsite information interaction systems within its wellsite area.
[0099] Further, in one embodiment, each sub-structure in each wellsite information interaction unit is respectively connected to the corresponding storage service subsystem in the cloud mud logging system service platform through a high-speed communication module, and the data is stored in the cloud database through the Internet of Things cloud data storage service.
[0100] Preferably, in one embodiment, each sub-structure in each wellsite information interaction unit respectively has the attributes of resume interrupted transfer, integrity verification, and self-status diagnosis.
[0101] In an alternative embodiment, the multi-angle data processing module includes a mud logging monitoring system service platform, a geological data processing system service platform, a drilling data processing system service platform, and other expert system service platforms set according to requirements.
[0102] Further, in an alternative embodiment, the overall decision-making center is connected to the cloud mud logging system service platform through the Internet. Different expert teams generate service instructions based on the overall decision-making center through the Internet according to multiple on-site data and processed parameters. The service instructions include service instructions for each sub-structure in the cloud mud logging system service platform and the wellsite information interaction unit.
[0103] For the foregoing method embodiments, for simplicity of description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.
[0104] It should be noted that in other embodiments of the present invention, the method can also be combined with one or more of the above embodiments to obtain a new cloud mud logging comprehensive service method without a comprehensive mud logging instrument, so as to realize efficient and reliable monitoring and control of mud logging construction in multi-region wellsites.
[0105] Embodiment III
[0106] It should be noted that based on the method in any one or more of the above embodiments of the present invention, the present invention also provides a storage medium, on which program codes for implementing the method described in any one or more of the above embodiments are stored. When the codes are executed by an operating system, the cloud mud logging comprehensive service method without a comprehensive mud logging instrument as described above can be realized.
[0107] It should be understood that the embodiments disclosed in the present invention are not limited to the specific structures, processing steps or materials disclosed herein, but should extend to equivalent alternatives of these features understood by those of ordinary skill in the relevant art. It should also be understood that the terms used herein are for the purpose of describing specific embodiments only and do not imply limitation.
[0108] As used herein, the phrase "one embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the phrase "one embodiment" appearing throughout the specification does not necessarily refer to the same embodiment.
[0109] Although the embodiments disclosed in the present invention are as described above, the above content is only an embodiment adopted for the convenience of understanding the present invention and is not intended to limit the present invention. Any person skilled in the art within the technical field to which the present invention pertains may make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed by the present invention. However, the scope of patent protection of the present invention shall still be subject to the scope defined by the appended claims.
Claims
1. A cloud logging integrated service system without integrated logging instrument, characterized in that: The system comprises: Overall decision-making center (1), Internet module (2), cloud logging system service platform (3), high-speed communication module (4) and well site information interaction module; The wellsite information interaction module includes at least one wellsite information interaction unit, which is distributed in different areas of the wellsite, and each wellsite information interaction unit is used to obtain multivariate field data of the corresponding wellsite area, including real-time monitoring data, wellsite information, and production instruction data; The cloud logging system service platform is connected to the well site information interaction module through a high-speed communication module to remotely obtain the multivariate field data of the well site; the cloud logging system service platform is provided with a storage service subsystem matching various field data, which is used to store various field data in a set cloud database; The cloud logging system service platform also includes a multi-angle data processing module for performing multi-angle processing based on the stored multi-dimensional field data to obtain parameters matching different business service requirements; The overall decision-making center interacts with the cloud logging system service platform and the expert team through the Internet, and can generate and provide service instructions that reflect the expert team's decisions based on the processed parameters, providing support for the well site information interaction module and the upper integrated control center.
2. The system according to claim 1, characterized in that Each wellsite information interaction unit includes IoT sensors, IoT instruments and equipment, wellsite data processing systems, production command systems and wellsite information interaction systems within the wellsite area.
3. The system according to claim 1, characterized in that Each substructure in each well site information interaction unit is connected to the corresponding storage service subsystem in the cloud logging system service platform through a high-speed communication module, and the data is stored in the cloud database through the Internet of Things cloud data storage service.
4. The system according to claim 1, characterized in that Each substructure in each well site information interaction unit has the attributes of breakpoint resumption, integrity verification, and self-status diagnosis.
5. The system according to claim 1, characterized in that The multi-angle data processing module includes a logging monitoring system service platform, a geological data processing system service platform, a drilling data processing system service platform and other expert system service platforms set up according to needs.
6. The system according to claim 1, characterized in that The overall decision-making center is connected to the cloud logging system service platform through the Internet. Different expert teams generate service instructions based on the overall decision-making center according to multiple field data and processed parameters through the Internet. The service instructions include service instructions for each substructure in the cloud logging system service platform and the well site information interaction unit.
7. A cloud logging integrated service method without an integrated logging instrument, characterized in that: The method uses the system according to claims 1 to 6, and the method comprises: System setting steps: according to the needs, set up well site information interaction units in one or more areas of the well site to form the well site information interaction module of the system, and set up and verify the high-speed communication module between the well site information interaction module and the cloud logging system service platform; Multivariate data acquisition step: using the well site information interaction module to acquire multivariate field data corresponding to the well site, including real-time monitoring data, well site information, and production instruction data; Data transmission and storage steps: The well site information interaction module transmits the acquired data to the cloud logging system service platform through the high-speed communication module and stores it in the cloud database; Data processing steps: The multi-angle data processing module performs multi-angle processing based on the multi-dimensional field data to obtain parameters that match different business service requirements; Control decision module: The expert team obtains data from the cloud logging system service platform through the Internet, and generates service instructions based on the data through the overall decision-making center to provide support for the well site information interaction module and the upper integrated control center.
8. The method according to claim 7, characterized in that Each substructure in each well site information interaction unit is connected to the corresponding storage service subsystem in the cloud logging system service platform through a high-speed communication module, and the data is stored in the cloud database through the Internet of Things cloud data storage service.
9. The method according to claim 7, characterized in that: Each substructure in each well site information interaction unit has the attributes of breakpoint resumption, integrity verification, and self-status diagnosis.
10. A storage medium, characterized in that: The storage medium stores program code that can implement the method as claimed in any one of claims 7 to 9.