CN112508349A - Oil field operation system and method - Google Patents
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Abstract
The embodiment of the invention discloses an oil field operation system and a method, wherein the oil field operation system comprises: the system comprises a data providing module, a data management module, an integrated platform module, a service application module, a management scheduling module and a statistic evaluation module. By the oil field operation system, the overall management operation level of the oil field can be improved.
Description
Technical Field
The present disclosure relates to, but not limited to, the field of oil fields, and more particularly, to an oil field operation system and method.
Background
Under the background of deep integration of informatization and oil field industrialization, the aims of optimizing operation, reducing cost and improving efficiency are achieved by applying digitization and intelligent technologies in the management activities of oil field enterprises, and the method is an important development direction for improving the overall management level of the oil field. The oil field ground system is an operation surface for oil field management and operation and maintenance, is a main collection place of oil field data, is a window for monitoring geological oil deposit, is also a main cost consumption place of labor force, materials and the like, plays an important role in the oil field, and is the key for realizing the intellectualization of the whole oil field.
At present, the digitization and the intellectualization construction of oil field enterprises have certain achievements, but the digitization and the intellectualization development of the oil field enterprise are seriously restricted, but the system has no substantial breakthrough in the intellectualization operation aspect of a ground system, lacks the integral planning aiming at the oil field operation process, has multiple systems which are respectively administrative, has unclear functional targets, unsmooth work flow, can not share data, has multiple information islands, has poor usability and causes resource waste.
In order to break through the bottleneck and realize the intelligent operation of the oil field, the characteristics and the requirements of the oil field management operation need to be satisfied, the oil field automation technology and the communication technology are fused to carry out overall intelligent planning and design, and an oil field intelligent operation system is constructed.
Disclosure of Invention
In order to solve the technical problem, the present disclosure provides an oil field operation system and method, which can improve the overall management operation level of an oil field enterprise by constructing the oil field operation system.
The embodiment of the present disclosure provides an oil field operation system, the operation system includes: the system comprises a data providing module, a data management module, an integrated platform module, a service application module, a management scheduling module and a statistic evaluation module; wherein:
the data providing module is used for providing basic data of oil field operation and perception data collected by equipment in the oil field;
the data management module is used for storing and managing oil field data and sending corresponding data to the integrated platform module according to a call request, wherein the oil field data comprises: the base data, the perception data and the analysis data;
the integrated platform module is used for calling corresponding oilfield data from the data management module and sending the oilfield data to the corresponding business application module according to the data calling request and/or the preset model of the business application module, and feeding back the analysis data generated by the business application module to the data management module; the integrated platform module sends the oilfield operation instruction issued by the management scheduling module to the service application module, and sends oilfield operation instruction completion information fed back by the service application module to the management scheduling module; and the integrated platform module calls corresponding oilfield data from the data management module according to the data call request and/or the preset model of the statistical evaluation module, sends the oilfield data to the statistical evaluation module, and feeds back the statistical evaluation data generated by the statistical evaluation module to the data management module.
The service application module is used for sending a data calling request to the integrated platform module according to the oilfield operation instruction sent by the management scheduling module received from the integrated platform module; according to the called oil field data, generating the analysis data according to the preset model and/or the oil field operation instruction issued by the management scheduling module, feeding back the completion condition information of the oil field operation instruction to the management scheduling module through the integrated platform module, and feeding back the generated analysis data to the data management module through the integrated platform module;
the management scheduling module is used for issuing an oil field operation instruction to the service application module through the integrated platform module and receiving oil field operation instruction completion condition information fed back by the service application module through the integrated platform module;
the statistical evaluation module is used for acquiring various oil field data from the data management module through the integrated platform module, generating a statistical report and an evaluation result, and feeding back the generated statistical evaluation data to the data management module through the integrated platform module.
In an exemplary embodiment, the data providing module includes: the system comprises an oilfield industrial Internet of things unit and a basic information unit; wherein the content of the first and second substances,
the oil field industry Internet of things unit is used for storing the access address of original data and/or image video data acquired by equipment in an oil field as the sensing data into the data management module;
the basic information unit is used for providing basic information of resources and products of digital delivery, organizations and oil field operation, and storing the basic information as the basic data into the data management module.
In an exemplary embodiment, the integrated platform module is configured to call the corresponding oilfield data from the data management module and send the oilfield data to the corresponding business application module according to a data call request of the business application module, and the integrated platform module includes:
and calling from the data management module according to the data calling request of the service application module, and acquiring video image data according to the access address and sending the video image data to the corresponding service application module when the called data is the access address of the image video data.
In an exemplary embodiment, the integrated platform module communicates data with a protocol via a standardized interface.
The embodiment of the present disclosure further provides an oilfield operation method, which is implemented by applying the oilfield operation system described in any one of the above embodiments, and includes:
the service application module receives an oil field operation instruction and sends a data calling request to the integrated platform module according to the operation instruction;
the integrated platform module calls corresponding oilfield data from the data management module according to a data calling request of a preset model and/or the service application module and sends the oilfield data to the corresponding service application module;
and the business application module generates the analysis data according to the called oilfield data and the oilfield operation instruction and/or the preset model, and the generated analysis data is fed back to the data management module through the integrated platform module.
In an exemplary embodiment, the preset model is an oilfield service execution model; the integrated platform module is provided with a dispatching command model and a statistical evaluation model; the dispatching command model and the statistical evaluation model are established according to standardized workflow models of various services; the standardized workflow model of the multiple services is obtained by combining the service functional units according to the requirements of service execution; the service function unit decomposes various works of the oil field according to the management element model to obtain the management element model; the management element model is established according to oil field organization, posts and business activities.
In an exemplary embodiment, the preset model is an oilfield data management model;
the business application module generates the analysis data according to the called oilfield data and the preset model, and comprises the following steps:
the data management module divides the called oil field data into structured data, unstructured data, time sequence data and geospatial data according to types, establishes a model for each type of data respectively, and performs classified management by adopting a corresponding database tool;
and the business application module displays the oil field data subjected to classification management in the data management module through a visualization tool.
In an exemplary embodiment, the method further comprises: the data management module establishes a data application model and a data visualization model of various oilfield services for the oilfield data subjected to classification management; the data management module is set with a standardized data communication protocol and establishes a standard open shared data interface.
In an exemplary embodiment, the preset model is an oilfield intelligent application model;
the perception data includes: production dynamic data collected by the automatic control system;
the basic data comprises a mechanism model of the process and the equipment established based on a pipeline and instrument flow chart;
the business application module generates the analysis data according to the called oilfield data and the preset model, and comprises the following steps:
the business application module performs data analysis and image analysis according to the inference learning model established aiming at the target problem and the related oil field data to obtain an analysis result; the generated analysis data is fed back to the data management module through the integrated platform module;
and the business application module runs a visualization tool to display the analysis result.
In an exemplary embodiment, the preset model is an oilfield visual operation model;
the basic data comprises oil field survey measurement and construction data and oil field facility data;
the business application module generates the analysis data according to the called oilfield data and the preset model, and the analysis data comprises the following steps:
the service application module constructs an oil field geographic information system through a GIS according to the called oil field data, loads the oil field data on the basis of a preset three-dimensional model of the oil field ground facility, forms the three-dimensional ground facility through a three-dimensional engine tool, integrates the three-dimensional ground facility with the geographic information system, and displays the three-dimensional ground facility through a visual tool.
Compared with the prior art, the invention provides an oil field operation system, which comprises: the system comprises a data providing module, a data management module, an integrated platform module, a service application module, a management scheduling module and a statistic evaluation module; wherein: the data providing module is used for providing basic data of oil field operation and perception data collected by equipment in the oil field; the data management module is used for storing and managing oil field data and sending corresponding data to the integrated platform module according to a calling request, wherein the oil field data comprises: the base data, the perception data and the analysis data; the integrated platform module is used for calling corresponding oilfield data from the data management module according to a data calling request and/or a preset model of the service application module and sending the corresponding oilfield data to the corresponding service application module, and feeding back analysis data generated by the service application module to the data management module; the integrated platform module sends the oilfield operation instruction issued by the management scheduling module to the service application module, and sends oilfield operation instruction completion information fed back by the service application module to the management scheduling module; and the integrated platform module calls corresponding oilfield data from the data management module according to the data call request and/or the preset model of the statistical evaluation module, sends the oilfield data to the statistical evaluation module, and feeds back the statistical evaluation data generated by the statistical evaluation module to the data management module. The service application module is used for sending a data calling request to the integrated platform module according to the oilfield operation instruction sent by the management scheduling module received from the integrated platform module; according to the called oil field data, generating the analysis data according to the preset model and/or the oil field operation instruction issued by the management scheduling module, feeding back the completion condition information of the oil field operation instruction to the management scheduling module through the integrated platform module, and feeding back the generated analysis data to the data management module through the integrated platform module; the management scheduling module is used for issuing an oil field operation instruction to the service application module through the integrated platform module and receiving oil field operation instruction completion condition information fed back by the service application module through the integrated platform module; the statistical evaluation module is used for acquiring various oil field data from the data management module through the integrated platform module, generating a statistical report and an evaluation result, and feeding back the generated statistical evaluation data to the data management module through the integrated platform module. By the scheme of the invention, the overall management operation level of the oil field can be improved.
Other aspects will be apparent upon reading and understanding the attached drawings and detailed description.
Drawings
FIG. 1 is a schematic structural diagram of an oilfield operation system according to an embodiment of the invention;
FIG. 2 is a flow chart of an oilfield operation method of an embodiment of the present invention;
FIG. 3 is a schematic diagram of an oilfield intelligent operation system architecture according to another embodiment of the present invention;
FIG. 4 is an oilfield business execution modeling flow of yet another embodiment of the present invention;
FIG. 5 is a flow chart of an oilfield data management modeling according to yet another embodiment of the present invention;
FIG. 6 is a flow chart of modeling an intelligent application for an oil field according to yet another embodiment of the present invention;
fig. 7 is a flow chart of modeling of visualization operations of an oil field according to still another embodiment of the present invention.
Detailed Description
Hereinafter, embodiments of the present application will be described in detail with reference to the accompanying drawings. It should be noted that the features of the embodiments and examples of the present application may be arbitrarily combined with each other without conflict.
The steps illustrated in the flow charts of the figures may be performed in a computer system such as a set of computer-executable instructions. Also, while a logical order is shown in the flow diagrams, in some cases, the steps shown or described may be performed in an order different than here.
Fig. 1 is a schematic structural diagram of an oilfield operation system according to an embodiment of the present disclosure, including: the system comprises a data providing module 100, a data management module 101, an integrated platform module 102, a business application module 103, a management scheduling module 104 and a statistic evaluation module 105;
the data providing module 100 is used for providing basic data of oilfield operation and perception data collected by equipment in the oilfield;
the data management module 101 is configured to store and manage oilfield data, and send corresponding data to the integrated platform module according to a call request, where the oilfield data includes: the base data, the perception data and the analysis data;
the integrated platform module 102 is configured to invoke, according to the data invocation request and/or the preset model of the service application module, corresponding oilfield data from the data management module and send the oilfield data to the corresponding service application module, and feed back analysis data generated by the service application module to the data management module; the integrated platform module sends the oilfield operation instruction issued by the management scheduling module to the service application module, and sends oilfield operation instruction completion information fed back by the service application module to the management scheduling module. And the integrated platform module calls corresponding oilfield data from the data management module according to the data call request and/or the preset model of the statistical evaluation module, sends the oilfield data to the statistical evaluation module, and feeds back the statistical evaluation data generated by the statistical evaluation module to the data management module.
The service application module 103 is used for sending a data calling request to the integrated platform module according to the oilfield operation instruction sent by the management scheduling module received from the integrated platform module; according to the called oil field data, generating the analysis data according to the preset model and/or the oil field operation instruction issued by the management scheduling module, feeding back the completion condition information of the oil field operation instruction to the management scheduling module through the integrated platform module, and feeding back the generated analysis data to the data management module through the integrated platform module;
the management scheduling module 104 is used for issuing an oil field operation instruction to the service application module through the integrated platform module and receiving oil field operation instruction completion condition information fed back by the service application module through the integrated platform module;
the statistic evaluation module 105 is used for acquiring various oil field data from the data management module through the integrated platform module, generating statistic reports and evaluation results, and feeding back the generated statistic evaluation data to the data management module through the integrated platform module.
In an exemplary embodiment, the data providing module includes: the system comprises an oilfield industrial Internet of things unit and a basic information unit; wherein the content of the first and second substances,
the oil field industry Internet of things unit is used for storing the access address of original data and/or image video data acquired by equipment in an oil field as the sensing data into the data management module;
the basic information unit is used for providing basic information of resources and products of digital delivery, organizations and oil field operation, and storing the basic information as the basic data into the data management module.
In an exemplary embodiment, the integrated platform module is configured to call the corresponding oilfield data from the data management module and send the oilfield data to the corresponding business application module according to a data call request of the business application module, and the integrated platform module includes:
and calling from the data management module according to the data calling request of the service application module, and acquiring video image data according to the access address and sending the video image data to the corresponding service application module when the called data is the access address of the image video data.
In an exemplary embodiment, the integrated platform module communicates data with a protocol via a standardized interface.
As shown in fig. 2, an embodiment of the present disclosure further provides an oil field operation method, which is implemented by applying any one of the oil field operation systems in the foregoing embodiments, and includes steps 200 to 202.
200, a service application module receives an oil field operation instruction and sends a data calling request to an integrated platform module according to the operation instruction;
and 202, generating the analysis data by the service application module according to the called oilfield data and the oilfield operation instruction and/or the preset model, and feeding the generated analysis data back to the data management module through the integrated platform module.
In an exemplary embodiment, the preset model is an oilfield service execution model; the integrated platform module is provided with a dispatching command model and a statistical evaluation model; the dispatching command model and the statistical evaluation model are established according to standardized workflow models of various services; the standardized workflow model of the multiple services is obtained by combining the service functional units according to the requirements of service execution; the service function unit decomposes various works of the oil field according to the management element model to obtain the management element model; the management element model is established according to oil field organization, posts and business activities.
In an exemplary embodiment, the preset model is an oilfield data management model;
the business application module generates the analysis data according to the called oilfield data and the preset model, and comprises the following steps:
the data management module divides the called oil field data into structured data, unstructured data, time sequence data and geospatial data according to types, establishes a model for each type of data respectively, and performs classified management by adopting a corresponding database tool;
the service application module displays the oil field data subjected to classification management in the data management module through a visualization tool;
the method further comprises the following steps: the data management module establishes a data application model and a data visualization model of various oilfield services for the oilfield data subjected to classification management; the data management module is set with a standardized data communication protocol and establishes a standard open shared data interface.
In an exemplary embodiment, the preset model is an oilfield intelligent application model;
the perception data includes: production dynamic data collected by the automatic control system;
the basic data comprises a mechanism model of the process and the equipment established based on a pipeline and instrument flow chart;
the business application module generates the analysis data according to the called oilfield data and the preset model, and comprises the following steps:
the management scheduling module performs data analysis and image analysis according to the inference learning model established for the target problem and the related oil field data to obtain an analysis result; the generated analysis data is fed back to the data management module through the integrated platform module;
and the business application module runs a visualization tool to display the analysis result.
In an exemplary embodiment, the preset model is an oilfield visual operation model;
the basic data comprises oil field survey measurement and construction data and oil field facility data;
the business application module generates the analysis data according to the called oilfield data and the preset model, and comprises the following steps:
the service application module constructs an oil field geographic information system through a GIS according to the called oil field data, loads the oil field data on the basis of a preset three-dimensional model of the oil field ground facility, forms the three-dimensional ground facility through a three-dimensional engine tool, integrates the three-dimensional ground facility with the geographic information system, and displays the three-dimensional ground facility through a visual tool.
Exemplary embodiments
As shown in fig. 3, an oilfield intelligent operation system architecture provided in an embodiment of the present disclosure includes, in this exemplary embodiment, a data providing module, a data management module, an integrated platform module, a business application module, a management scheduling module, and a statistical evaluation module.
The data providing module comprises an oilfield industry Internet of things unit and a basic information unit.
The oilfield industrial Internet of things unit is an infrastructure and a data source for realizing oilfield digitization and intellectualization, and comprises various data acquisition and monitoring subsystems and an oilfield communication network subsystem. The data acquisition and monitoring subsystem mainly comprises process monitoring, safety precaution, mobile supervision and the like, and the communication network subsystem mainly comprises a comprehensive transmission network formed by optical communication, 4G/5G mobile communication, digital microwave, satellite communication, a local area network and the like. The oil field industry thing networking unit stores various oil field data of gathering in data management module. Considering that image video data may occupy more storage resources, such data will not be stored in the data management module, but only stored in the relevant acquisition system of the industrial internet of things unit. The data management module only stores the access addresses of the image video data in the relevant acquisition systems of the industrial Internet of things units. And other functional modules can directly acquire video image data from corresponding acquisition systems of the oilfield industrial Internet of things units through the integrated platform module according to the access addresses.
The basic information unit provides basic information such as resources and products of digital delivery, organization and oil field operation and stores the basic information into the data management module in a static import mode.
The data management module is used for uniformly storing and managing oil field data such as basic data from a basic information unit in the data providing module, sensing data of an oil field industrial Internet of things unit, analysis data of the integrated platform module, instruction information and feedback of the scheduling management module, statistical data of the statistical evaluation module and the like, and sending corresponding data to the integrated platform module according to specific service requirements.
The integrated platform module is a carrier for application deployment of the data management module, the service application module, the statistical evaluation module and the management scheduling module, and realizes data interaction among the functional modules through various standardized interfaces and protocols. The integrated platform realizes efficient coordination and organization of oilfield business operation through standardized workflows and mechanisms, and is the core of system operation. And the service application module, the statistical evaluation module and the management scheduling module send a required data calling request to the integrated platform module according to specific service application requirements. And the integrated platform module calls corresponding data from the data management module according to the data calling requests of the service application module, the statistical evaluation module and the management scheduling module, and sends the corresponding data to the service application module, the statistical evaluation module and the management scheduling module. In addition, the data, operation results or instructions generated by the service application module, the statistical evaluation module and the management scheduling module are transmitted through the integrated platform module and stored in the data management module. Aiming at the video image data, the business application module, the statistical evaluation module and the management scheduling module can call corresponding video data access addresses from the data management module through the integrated platform module, and the video image data are directly obtained from corresponding acquisition systems of the oil field industry Internet of things units of the data providing module through the integrated platform module according to the access addresses.
The service application module is a main body for realizing various specific service functions in oilfield management operation by adopting a digital and intelligent technology, and comprises service functions of visual operation, process simulation optimization, equipment integrity management, intelligent analysis and the like. The service application module receives various production management scheduling instructions from the management scheduling module through the integrated platform module and operates corresponding intelligent service application according to the instructions. Meanwhile, the analysis data generated by the service application module is also fed back to the data management module through the integrated platform module and is used as oil field data for unified management.
The statistic evaluation module is mainly used for tracking, counting and evaluating production and performance indexes of oil field enterprises and has the functions of production tracking, production statistics, performance evaluation and the like. The statistical evaluation module acquires various oil field data from the data management module through the integrated platform module to serve as data support for statistical evaluation. The statistical evaluation result generated by the statistical evaluation module is sent to the superior. Meanwhile, the statistical evaluation result is fed back to the data management module through the integrated platform module and is used as oil field data for unified management.
The management scheduling module receives oil field operation requirements or instructions from a superior level, issues corresponding instructions to the service application module through the integrated platform module, receives operation instruction completion condition information fed back by the service application module through the integrated platform module, and achieves overall scheduling and coordination of oil field enterprise management operation and maintenance, including production scheduling, production allocation, operation management and the like.
Exemplary embodiments
As shown in fig. 4, an oilfield business execution modeling flow chart is created according to which an oilfield business execution model driving scheduling command module, a statistical evaluation module and an integrated platform module are built, so as to implement intelligent execution of various businesses. According to the process, a post, equipment, materials and other management element models are firstly established according to oil field organization, posts and business activities, then various works of the oil field are decomposed into a plurality of standardized business function units, and each business function unit is respectively modeled. The service function units are combined according to the requirements of service execution to form a standardized workflow model of various services, and a dispatching command model and a statistical evaluation model are established on the basis, and the established model is deployed in the integrated platform module.
Exemplary embodiments
As shown in fig. 5, the oilfield data management modeling process establishes an oilfield data management model driving data management module according to the process, so as to realize collection, storage, management and sharing of various types of data. Firstly, the system extracts basic data, perception data and analysis data from different data sources, the data are divided into structured data, unstructured data, time sequence data and geospatial data according to types, a model is built for each type of data according to the characteristics of the data, corresponding database tools are adopted for unified classification management, and the data are classified into a data management module. Then, the data management module sets a standardized data communication protocol and establishes a standard open shared data interface. On the basis, a data application model and a data visualization model of various oilfield businesses are established to realize business application and visual display of data.
Exemplary embodiments
As shown in fig. 6, the modeling process of the intelligent application in the oil field builds an intelligent application model of the oil field according to the process, drives the process simulation optimization, the equipment integrity management and the intelligent analysis function in the business application module, and performs the targeted analysis according to the application purpose.
The process system simulation establishes a mechanism model of the process and the equipment based on a pipeline and instrument flow chart, reads the production dynamic data collected by the automatic control system, and realizes dynamic simulation optimization and equipment diagnosis. The results of simulation optimization and equipment diagnosis are used together with other business data for intelligent data analysis of other target tasks.
The system intelligent analysis comprises two parts of data analysis and image analysis, wherein each analysis is to establish a specific reasoning learning model aiming at a target problem, and an analysis result is obtained by identifying associated service data or image data characteristics. And finally, various analysis results are displayed through a visual tool to assist oil field operation decision-making.
Exemplary embodiments
As shown in fig. 7, the model established according to the oil field visualization operation modeling process includes an oil field geographic information model and a three-dimensional facility model, and is used for driving the visualization operation function in the business application module. Firstly, based on oil field survey measurement and construction data, oil field facilities and basic information data are loaded, and an oil field geographic information system is constructed through a Geographic Information System (GIS) map engine. And secondly, carrying out lightweight and beautifying treatment on the three-dimensional model based on the digitally delivered oil field ground facility three-dimensional model, loading relevant basic data, and forming the three-dimensional ground facility through a three-dimensional engine tool. The geographic information system is integrated with the three-dimensional ground facility, relevant images and data are loaded, relevant documents are associated, necessary operation functions are customized, and a visual operation platform environment is formed.
Exemplary embodiments
An oil field intelligent operation system, comprising: the system comprises a data providing module, a data management module, an integrated platform module, a service application module, a management scheduling module and a statistic evaluation module;
the data providing module comprises an oilfield industry Internet of things unit and a basic information unit.
The oil field industry Internet of things unit is used for collecting and transmitting sensing data of an oil field intelligent operation system.
The basic information unit is used for providing basic information such as resources, products and the like of digital delivery, organizations and oil field operation and storing the basic information into the data management module in a static import mode.
The data management module is used for uniformly storing and managing oil field data such as basic data from a basic information unit in the data providing module, sensing data of an oil field industrial Internet of things unit, analysis data of the integrated platform module, instruction information and feedback of the scheduling management module, statistical data of the statistical evaluation module and the like, and sending corresponding data to the integrated platform module according to specific service requirements.
The integrated platform module is used for deploying a data management module, a service application module, a statistical evaluation module and a management scheduling module, and realizing data interaction among the functional modules through various standardized interfaces and protocols.
The service application module is used for realizing service functions of visual operation, process simulation optimization, equipment integrity management, intelligent analysis and the like in oilfield management operation by adopting a digital and intelligent technology.
The statistical evaluation module tracks, counts and evaluates the production and performance indexes of the oil field enterprises based on various oil field data acquired from the data management module through the integrated platform module, and the generated statistical evaluation result is sent to the superior. Meanwhile, the statistical evaluation result is fed back to the data management module through the integrated platform module and is used as oil field data for unified management.
The management scheduling module is used for issuing corresponding instructions to other modules through the integrated platform module according to the operation requirements or instructions of the oil field from the upper level, and receiving operation instruction completion condition information fed back by the service application module through the integrated platform module.
The system comprises a data providing module, a data management module, an integrated platform module, a business application module, a management scheduling module and a statistical evaluation module, and provides specific functions of the modules, logical relations among the modules and data flows.
Exemplary embodiments
The implementation method comprises a modeling method and a process of four types of models, wherein the four types of models comprise an oil field business execution model, an oil field data management model, an oil field intelligent application model and an oil field visual operation model.
The oilfield service execution model comprises: according to the oil field organization, the post and the business activities, firstly, a post, equipment, material and other management element models are established, then, various works of the oil field are decomposed into a plurality of standardized business function units, and each business function unit is respectively modeled. The service function units are combined according to the requirements of service execution to form a standardized workflow model of various services, and a dispatching command model and a statistical evaluation model are established on the basis, and the established model is deployed in the integrated platform module.
The oilfield data management model comprises: firstly, the system extracts basic data, perception data and analysis data from different data sources, the data are divided into structured data, unstructured data, time sequence data and geospatial data according to types, a model is built for each type of data according to the characteristics of the data, corresponding database tools are adopted for unified classification management, and the data are classified into a data management module. Then, the data management module sets a standardized data communication protocol and establishes a standard open shared data interface. On the basis, a data application model and a data visualization model of various oilfield businesses are established to realize business application and visual display of data.
The oil field intelligent application model is characterized in that a process system simulation establishes a mechanism model of a process and equipment based on a pipeline and instrument flow chart, reads production dynamic data collected by an automatic control system, and realizes dynamic simulation optimization and equipment diagnosis. The results of simulation optimization and equipment diagnosis are used together with other business data for intelligent data analysis of other target tasks. The system intelligent analysis comprises two parts of data analysis and image analysis, wherein each analysis is to establish a specific reasoning learning model aiming at a target problem, and an analysis result is obtained by identifying associated service data or image data characteristics. And finally, various analysis results are displayed through a visual tool to assist oil field operation decision-making.
The oil field visual operation model comprises the following steps: firstly, based on oil field survey measurement and construction data, oil field facilities and basic information data are loaded, and an oil field geographic information system is constructed through a Geographic Information System (GIS) map engine. And secondly, carrying out lightweight and beautifying treatment on the three-dimensional model based on the digitally delivered oil field ground facility three-dimensional model, loading relevant basic data, and forming the three-dimensional ground facility through a three-dimensional engine tool. The geographic information system is integrated with the three-dimensional ground facility, relevant images and data are loaded, relevant documents are associated, necessary operation functions are customized, and a visual operation platform environment is formed.
The model established by the method and the process describes and abstracts a ground system of a physical oil field in intelligent oil field engineering, and establishes a bridge for the connection between the intelligent operation system and a real physical oil field.
The oil field intelligent operation system provided by the embodiment provides an oil field operation intelligent and integrated solution, designs a modeling method of a model for driving the operation of the system, eliminates an information island, defines a function target, runs through a work flow, unifies data resources, improves operation efficiency, reduces operation cost, provides an effective means for digital and intelligent upgrading of oil field enterprise operation, and is beneficial to improving the overall management operation level of the oil field enterprise.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
Claims (10)
1. An oilfield operation system, the operation system comprising: the system comprises a data providing module, a data management module, an integrated platform module, a service application module, a management scheduling module and a statistic evaluation module; wherein:
the data providing module is used for providing basic data of oil field operation and perception data collected by equipment in the oil field;
the data management module is used for storing and managing oil field data and sending corresponding data to the integrated platform module according to a call request, wherein the oil field data comprises: the base data, the perception data and the analysis data;
the integrated platform module is used for calling corresponding oilfield data from the data management module and sending the oilfield data to the corresponding business application module according to the data calling request and/or the preset model of the business application module, and feeding back the analysis data generated by the business application module to the data management module; the integrated platform module sends the oilfield operation instruction issued by the management scheduling module to the service application module, and sends oilfield operation instruction completion information fed back by the service application module to the management scheduling module; the integration platform module calls corresponding oilfield data from the data management module according to the data calling request and/or the preset model of the statistical evaluation module and sends the oilfield data to the statistical evaluation module, and feeds back the statistical evaluation data generated by the statistical evaluation module to the data management module;
the service application module is used for sending a data calling request to the integrated platform module according to the oilfield operation instruction sent by the management scheduling module received from the integrated platform module; according to the called oil field data, generating the analysis data according to the preset model and/or the oil field operation instruction issued by the management scheduling module, feeding back the completion condition information of the oil field operation instruction to the management scheduling module through the integrated platform module, and feeding back the generated analysis data to the data management module through the integrated platform module;
the management scheduling module is used for issuing an oil field operation instruction to the service application module through the integrated platform module and receiving oil field operation instruction completion condition information fed back by the service application module through the integrated platform module;
the statistical evaluation module is used for acquiring various oil field data from the data management module through the integrated platform module, generating a statistical report and an evaluation result, and feeding back the generated statistical evaluation data to the data management module through the integrated platform module.
2. The oilfield operation system of claim 1, wherein the data providing module comprises: the system comprises an oilfield industrial Internet of things unit and a basic information unit; wherein the content of the first and second substances,
the oil field industry Internet of things unit is used for storing the access address of original data and/or image video data acquired by equipment in an oil field as the sensing data into the data management module;
the basic information unit is used for providing basic information of resources and products of digital delivery, organizations and oil field operation, and storing the basic information as the basic data into the data management module.
3. The oilfield operation system of claim 2,
the integrated platform module is used for calling corresponding oilfield data from the data management module and sending the oilfield data to the corresponding business application module according to a data calling request of the business application module and comprises:
and calling from the data management module according to the data calling request of the service application module, and acquiring video image data according to the access address and sending the video image data to the corresponding service application module when the called data is the access address of the image video data.
4. The oilfield operation system of claim 1,
and the integrated platform module transmits data with a protocol through a standardized interface.
5. An oilfield operation method, implemented based on the oilfield operation system of any one of claims 1-4, comprising:
the service application module receives an oil field operation instruction and sends a data calling request to the integrated platform module according to the operation instruction;
the integrated platform module calls corresponding oilfield data from the data management module according to a data calling request of a preset model and/or the service application module and sends the oilfield data to the corresponding service application module;
and the business application module generates the analysis data according to the called oilfield data and the oilfield operation instruction and/or the preset model, and the generated analysis data is fed back to the data management module through the integrated platform module.
6. The oilfield operation method of claim 5,
the preset model is an oilfield service execution model; the integrated platform module is provided with a dispatching command model and a statistical evaluation model; the dispatching command model and the statistical evaluation model are established according to standardized workflow models of various services; the standardized workflow model of the multiple services is obtained by combining the service functional units according to the requirements of service execution; the service function unit decomposes various works of the oil field according to the management element model to obtain the management element model; the management element model is established according to oil field organization, posts and business activities.
7. The oilfield operation method of claim 5, wherein the preset model is an oilfield data management model;
the business application module generates the analysis data according to the called oilfield data and the preset model, and comprises the following steps:
the data management module divides the called oil field data into structured data, unstructured data, time sequence data and geospatial data according to types, establishes a model for each type of data respectively, and performs classified management by adopting a corresponding database tool;
and the business application module displays the oil field data subjected to classification management in the data management module through a visualization tool.
8. The oilfield operation method of claim 7,
the method further comprises the following steps: the data management module establishes a data application model and a data visualization model of various oilfield services for the oilfield data subjected to classification management; the data management module is set with a standardized data communication protocol and establishes a standard open shared data interface.
9. The oilfield operation method of claim 6, wherein the preset model is an oilfield intelligent application model;
the perception data includes: production dynamic data collected by the automatic control system;
the basic data comprises a mechanism model of the process and the equipment established based on a pipeline and instrument flow chart;
the business application module generates the analysis data according to the called oilfield data and the preset model, and comprises the following steps:
the business application module performs data analysis and image analysis according to the inference learning model established aiming at the target problem and the related oil field data to obtain an analysis result; the generated analysis data is fed back to the data management module through the integrated platform module;
and the business application module runs a visualization tool to display the analysis result.
10. The oilfield operation method of claim 5, wherein the preset model is an oilfield visual operation model;
the basic data comprises oil field survey measurement and construction data and oil field facility data;
the business application module generates the analysis data according to the called oilfield data and the preset model, and comprises the following steps:
the service application module constructs an oil field geographic information system through a GIS according to the called oil field data, loads the oil field data on the basis of a preset three-dimensional model of the oil field ground facility, forms the three-dimensional ground facility through a three-dimensional engine tool, integrates the three-dimensional ground facility with the geographic information system, and displays the three-dimensional ground facility through a visual tool.
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