CN114109320A - Oil well control system and method based on edge calculation - Google Patents
Oil well control system and method based on edge calculation Download PDFInfo
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- CN114109320A CN114109320A CN202111397476.XA CN202111397476A CN114109320A CN 114109320 A CN114109320 A CN 114109320A CN 202111397476 A CN202111397476 A CN 202111397476A CN 114109320 A CN114109320 A CN 114109320A
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
- E21B43/12—Methods or apparatus for controlling the flow of the obtained fluid to or in wells
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5072—Grid computing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/50—Indexing scheme relating to G06F9/50
- G06F2209/502—Proximity
Abstract
The invention discloses an oil well control system and method based on edge calculation, wherein the oil well control system comprises: the system comprises an Internet of things data acquisition system, a transmission network system, an oil field Internet of things database, an automatic control system, an edge computing cluster and a well site intelligent brain. The invention also discloses an oil well control method based on the edge calculation; the oil well control system integrates data acquisition, transmission, storage, management and use, integrates an edge computing technology and an oil field Internet of things system, relieves the data processing pressure of a network center node on the basis of remarkably improving the processing and transmission speed of oil well data of an edge node, and meets the requirements of oil field enterprises on oil well refinement and personalized management to a greater extent.
Description
Technical Field
The invention belongs to the technical field of oil well control, and particularly relates to an oil well control system based on edge calculation and an oil well control method based on edge calculation.
Background
With the arrival of a new technological revolution and industrial opportunity led by the internet of things, big data, cloud computing, mobile application and automation technology, various domestic crude oil production enterprises take the digital transformation and development construction of oil fields as one of the most important means for improving the core competitiveness of the enterprises in the future on the basis of the long-term development of the enterprises. However, due to the restriction of the internal management mode of the enterprise and the external objective condition, all units which have implemented digital construction generally choose to transmit the data acquired on site to a data center for unified storage and high-performance calculation and analysis through the internet of things of the oil field in the construction process, and then professional technicians operate an application system to perform analysis decision, instruction issue and execution operation control.
The operation management mode has higher requirements on the acquisition quality of data of each oil well and each water well, the coverage degree and the networking form of a transmission network, the safety in the data transmission process and the processing capacity of a cloud computing center, potential safety hazards and equipment fault information cannot be reported in time easily due to network delay or interruption of the oil well and the water well in remote areas, and further the probability of occurrence of problems that the equipment is in operation with diseases, the emergency rescue time is low and the maintenance operation cost is increased.
In order to solve the problems, each oil field enterprise mostly adopts means of improving network coverage rate, optimizing network structure, upgrading a server and enhancing polling frequency of remote areas to ensure the timely reporting of field data and the accurate execution of issued instructions, but the means can not effectively reduce production cost and reduce labor intensity, and the requirements can be met only by continuously expanding and upgrading the network and the server due to the continuous increase of the number of oil wells and water wells in the later period, and the existing system can not meet the actual requirements in the personalized management and automation degree of the oil wells and the water wells. How to solve the above problems has become one of the research focuses in the field of automatic control of oil wells.
Disclosure of Invention
The invention aims to provide an oil well control system and method based on edge calculation, which solve the problem that the existing system needs to further meet the actual requirements in the aspects of individual management and automation degree of oil wells and water wells.
One technical solution adopted by the present invention is that,
the oil well control system based on edge calculation comprises an Internet of things data acquisition system, a transmission network system, an oil field Internet of things database, a control system, an edge calculation cluster and a well site intelligent brain, wherein,
the data acquisition system of the Internet of things comprises a plurality of data acquisition units of an indicator diagram, comprehensive electrical parameters, pressure, balance degree, a dynamic liquid level, videos, combustible and harmful gases, and is used for acquiring oil well working condition and well site security data and respectively sending the acquired data to an edge computing cluster and a control system;
the transmission network system comprises a wired transmission unit and a wireless transmission unit and is used for quickly and stably exchanging, transmitting and processing the received oil well working condition and well site security data;
the object edge computing cluster comprises an edge host and an edge computing platform and is used for carrying out universal computation on each piece of received oil well working condition data and well site security data to generate remote well shut-in, real-time trajectory tracking, packing oil leakage monitoring and voice alarm instructions, and the corresponding edge host sequentially pushes the instructions to a control system to carry out operation;
the intelligent brain of the well site comprises an oil well working condition diagnosis module, a gas monitoring and alarming module, a video identification and analysis module and a yield optimization and adjustment module, and is used for extracting relevant data from an oil field Internet of things database for integrated analysis after the reported information of the edge computing cluster is received, and generating an auxiliary decision suggestion corresponding to the relevant data for distribution and execution operation;
the oil field Internet of things database is used for cleaning, processing, correlation integration and classified storage of the received collected oil well working condition, well site security and related data;
and the control system comprises an oil well control subsystem and a security equipment subsystem and is used for carrying out operation response on the received operation instructions issued by the edge computing cluster and the well site intelligent brain and submitting the feedback result to an oil field Internet of things database for storage.
The present invention is also characterized in that,
the edge computing platform adopts an implanted singlechip and a computing bar and is mainly used for carrying out universal computation on each piece of received oil well working condition data and well site security data to generate related instruction information of remote well shut-in, real-time trajectory tracking, packing oil leakage monitoring and voice alarm,
the edge calculation host adopts a plurality of MEC (mobile edge calculation) servers, is mainly used for carrying out task marking, storing and uploading on each piece of received oil well working condition data and well site security data, and respectively sends the generated instruction information of the edge calculation platform to the corresponding control system.
Each MEC server comprises a microprocessor management module, a memory management module, a process management module, a wireless communication module, an HDMI (high definition multimedia interface) module, a USB (universal serial bus) interface module, a network interface module, a GPIO (general purpose input/output) port expansion module and a power supply module; the received oil well working condition and well site security data are distributed and processed through the microprocessor management module, the data are sent to the edge computing platform for computing through the process management module according to the receiving sequence, and the generated instruction information is sent to the corresponding control system for executing operation.
After receiving a feedback result of the edge computing cluster, the oil well working condition diagnosis module automatically extracts working condition data of an oil well, such as an indicator diagram, comprehensive electrical parameters, oil pressure, casing pressure, back pressure and balance degree, corresponding to the working condition data from the oil field Internet of things database to perform indicator diagram diagnosis and oil well working condition analysis, and automatically generates an auxiliary decision suggestion to perform distribution and execution operation;
when receiving combustible gas and harmful gas monitoring information uploaded by an edge computing cluster, the gas monitoring alarm module automatically compares the threshold value, if the threshold value is not reached, voice alarm is not carried out, if the threshold value is not reached, an auxiliary decision suggestion is generated to distribute, and voice alarm prompt is carried out synchronously;
after well site video monitoring information uploaded by the edge computing cluster is received, the video recognition analysis module automatically carries out recognition and comparison on safe dressing, packing and pipeline oil leakage, fire and safety protection conditions according to corresponding rules, and automatically generates trend prediction information and voice alarm prompts according to comparison results to carry out distribution and execution operation;
and after receiving indicator diagrams, water content, working fluid level, produced fluid metering and balance degree information uploaded by the edge computing cluster, the yield optimization and adjustment module analyzes and compares the indicator diagrams, the water content, the working fluid level, the produced fluid metering and balance degree information with big data early warning models stored in an oil field Internet of things database respectively, generates trend prediction information and auxiliary decision suggestions, and distributes and executes operation.
The oil well control subsystem comprises an integrated control cabinet and a servo motor and is used for automatically controlling the oil pumping unit to carry out related operations of remote start-stop, stroke adjustment, differential adjustment and intermittent pumping optimization after receiving instruction information issued by the edge computing cluster and the intelligent brain of the well site;
and the security equipment subsystem is used for automatically performing real-time trajectory tracking, packing oil leakage monitoring and voice alarm operation after receiving an operation instruction issued by the edge computing cluster and the intelligent brain of the well site.
In another technical solution of the present invention,
the oil well control method based on the edge calculation adopts an oil well control system based on the edge calculation, and comprises the following steps:
step 1: acquiring indicator diagrams, comprehensive electrical parameters, pressure, balance degree, dynamic liquid level, video, combustible and harmful gas oil well working conditions and well site security data in real time through a plurality of data acquisition units of the data acquisition system of the Internet of things, and respectively sending the acquired oil well working conditions and the well site security data to an edge computing cluster and a control system;
step 2: carrying out universal calculation on each received oil well working condition and well site security data through an edge calculation cluster to generate remote well shut-in, real-time trajectory tracking, packing oil leakage monitoring and voice alarm instruction information, sequentially pushing the information to a control system by a corresponding edge host to carry out operation, and then sending a feedback result to a well site intelligent brain;
and step 3: after the control system receives the relevant instruction information of the edge computing cluster, the oil well working condition data, the well site security data and the edge computing instruction data are synchronously sent to an oil field Internet of things database for storage in the relevant operation processes of remote well shut-down, real-time trajectory tracking, packing oil leakage monitoring and voice alarm;
and 4, step 4: after receiving the relevant information reported by the edge computing cluster, the intelligent brain of the well site extracts relevant data from the oil field Internet of things database to perform oil well working condition diagnosis, gas monitoring alarm, video identification analysis and yield optimization and adjustment integrated analysis, and respectively sends the generated trend prediction information and the generated auxiliary decision suggestion to an oil extraction team/operation area, an operation and maintenance team and an alarm management department to perform response;
and 5: and the control system completes corresponding execution operation according to decision instructions of all departments fed back by the intelligent brain of the well site.
The invention has the beneficial effects that: the oil well control system based on the edge calculation integrates data acquisition, transmission, storage, management and utilization, integrates the edge calculation technology with an oil field Internet of things system, relieves the data processing pressure of a network center node on the basis of remarkably improving the processing and transmission speed of the oil well data of the edge node, and meets the requirements of oil field enterprises on oil well refinement and personalized management to the maximum extent.
Drawings
FIG. 1 is a schematic diagram of the configuration of the edge calculation based well control system of the present invention;
FIG. 2 is a schematic operational flow diagram of the configuration of an edge calculation cluster in the edge calculation based well control system of the present invention;
FIG. 3 is a schematic flow chart of the operation of the edge calculation based well control system of the present invention.
Detailed Description
The present invention will be described in further detail below with reference to the following drawings and detailed description.
The invention discloses an oil well control system based on edge computing, which comprises an internet of things data acquisition system, a transmission network system, an oil field internet of things database, a control system, an edge computing cluster and a well site intelligent brain, as shown in figure 1, wherein:
the data acquisition system of the Internet of things comprises a plurality of data acquisition units of an indicator diagram, comprehensive electrical parameters, pressure, balance degree, a dynamic liquid level, videos, combustible and harmful gases and is used for acquiring oil well working condition and well site security data and respectively sending the acquired data to an edge computing cluster and a control system, wherein the number and the types of the data acquisition units can be set according to the type of an oil well through user self-selection;
the transmission network system comprises a wired transmission unit and a wireless transmission unit and is used for quickly and stably exchanging, transmitting and processing received oil well working conditions and well site security data, and a specific wellhead communication mode can be flexibly selected among three modes, namely a wired mode, a wireless mode, a wired mode and a wireless and wired mode according to the conditions of an oil well and a well site;
the object edge computing cluster comprises an edge host and an edge computing platform and is used for carrying out universal computation on each piece of received oil well working condition data and well site security data, generating remote well shut-in, real-time trajectory tracking, packing oil leakage monitoring and voice alarm instructions, and sequentially pushing the instructions to a control system by the corresponding edge host to carry out operation;
specifically, the edge computing cluster is formed by connecting a plurality of MEC servers with an implanted single chip microcomputer and a computing rod, wherein the MEC server has a structure shown in fig. 2 and comprises a microprocessor management module, a memory management module, a process management module, a wireless communication module, an HDMI interface module, a USB interface module, a network interface module, a GPIO port expansion module and a power supply module; the microprocessor management module is used for distributing and processing the received oil well working condition and well site security data, the process management module is used for sending the data to the edge computing platform for computing according to the receiving sequence, and the generated instruction information is sent to the control system for executing operation.
The intelligent brain of the well site comprises an oil well working condition diagnosis module, a gas monitoring and alarming module, a video identification and analysis module and a yield optimization and adjustment module, and is used for extracting relevant data from an oil field Internet of things database for integrated analysis after the reported information of the edge computing cluster is received, and generating an auxiliary decision suggestion corresponding to the relevant data for distribution and execution operation;
specifically, after the oil well working condition diagnosis module receives the reported information of the edge computing cluster, the working condition data of the work diagram, the comprehensive electrical parameter, the oil pressure, the casing pressure, the back pressure and the balance degree of the related oil well are automatically extracted from an oil field Internet of things database to perform work diagram diagnosis and generate working condition analysis, and the generated auxiliary decision suggestion is distributed to an oil extraction team/operation area, an operation and maintenance team and an alarm management department to perform decision execution;
when the gas monitoring and alarming module receives combustible gas and harmful gas monitoring data uploaded by the edge computing cluster, threshold comparison is automatically carried out, if the threshold is not reached, voice alarming is not carried out, if the threshold is not reached, an auxiliary decision suggestion is generated for distribution, and voice alarming prompt is synchronously carried out;
after receiving well site video monitoring data uploaded by an edge computing cluster, a video identification analysis module automatically identifies and compares safe dressing, packing and pipeline oil leakage, fire and safety protection conditions according to corresponding rules, and automatically generates trend prediction information and voice alarm prompts according to comparison results to perform distribution and execution operations;
after the yield optimization and adjustment module receives indicator diagram, water content, working fluid level, produced fluid measurement and balance data uploaded by the edge computing cluster, the yield optimization and adjustment module automatically compares the indicator diagram, the water content, the working fluid level, the produced fluid measurement and the balance data with big data early warning models stored in an oil field Internet of things database one by one and performs simulation analysis, and generates auxiliary decision suggestions to be distributed to an oil extraction team/operation area, an operation and maintenance team and an alarm management department for decision execution.
The oil field Internet of things database is used for cleaning, processing, correlation integration and classified storage of the received collected oil well working condition, well site security and related data;
and the control system comprises an oil well control subsystem and a security equipment subsystem and is used for executing operation on the received operation instruction issued by the edge computing cluster and the well site intelligent brain and submitting the feedback result to an oil field Internet of things database for storage.
Correspondingly, the oil well control subsystem comprises an integrated control cabinet and a servo motor and is mainly used for automatically controlling the oil pumping unit to carry out related operations of remote start-stop, stroke adjustment, differential speed adjustment and intermittent pumping optimization after receiving an operation instruction issued by the edge computing cluster and the intelligent brain of the well site;
and the security equipment subsystem is mainly used for automatically performing real-time trajectory tracking, packing oil leakage monitoring and voice alarm operation after receiving an operation instruction issued by the edge computing cluster and the intelligent brain of the well site.
The method for controlling the oil well, which corresponds to the invention, is shown in the principle of figure 3 and comprises the following steps:
step 1: acquiring working conditions of an oil well and security and protection data of a well site in real time through a plurality of data acquisition units of the data acquisition system of the Internet of things, acquiring indicator diagrams, comprehensive electrical parameters, pressure, balance degree, dynamic liquid level, video, combustible and harmful gases, and respectively sending the acquired working conditions of the oil well and the security and protection data of the well site to an edge computing cluster and a control system;
step 2: the edge computing cluster performs universal computation on each piece of received oil well working condition data and well site security data to generate remote well shut-in, real-time trajectory tracking, packing oil leakage monitoring and voice alarm instruction information, the information is sequentially pushed to a control system by a corresponding edge host to be operated and executed, and then a feedback result is sent to a well site intelligent brain;
specifically, after each MEC server of the edge computing host receives the uploaded data, the micro-processing module performs task marking and execution unit distribution on each oil well working condition and well site security data, and the data storage module and the process management module perform data storage and task request uploading respectively;
after receiving the task request, the edge computing platform performs rule computation on the uploaded data one by one according to the sequence of the task identification to generate remote well shut-in, real-time trajectory tracking, packing oil leakage monitoring and voice alarm instruction information, and sends the instruction information to the progress management module for corresponding issuing execution;
in the process of issuing instruction information by the edge computing platform, a micro-processing module of the MEC server automatically inquires whether the edge computing platform needs to perform oil well working condition diagnosis, gas monitoring alarm, video identification analysis and yield optimization adjustment related analysis and calculation, if not, information is not reported, and if so, related information is reported to a well site intelligent brain;
and step 3: after the control system receives the relevant instruction information of the edge computing cluster, the oil well working condition data, the well site security data and the edge computing instruction are synchronously sent to an oil field Internet of things database for storage in the relevant operation processes of remote well shut-down, real-time trajectory tracking, packing oil leakage monitoring and voice alarm;
and 4, step 4: after receiving the reported information of the edge computing cluster, a well site intelligent brain extracts relevant data from an oil field Internet of things database to perform oil well working condition diagnosis, gas monitoring alarm, video identification analysis and yield optimization and adjustment integrated analysis, and sends generated trend prediction information and auxiliary decision suggestions to an oil extraction team/operation area, an operation and maintenance team and an alarm management department respectively to perform decision making;
and 5: and the control system completes corresponding execution operation according to decision instructions of all departments fed back by the intelligent brain of the well site.
According to the oil well control system and method based on edge calculation, the edge calculation technology and the oil field Internet of things system are fused, so that the data processing pressure of a network center node is relieved on the basis of remarkably improving the processing and transmission speed of the oil well data of the edge node, and the requirements of oil field enterprises on oil well refinement and personalized management are met to the maximum extent.
Claims (6)
1. The oil well control system based on edge calculation is characterized by comprising an Internet of things data acquisition system, a transmission network system, an oil field Internet of things database, a control system, an edge calculation cluster and a well site intelligent brain, wherein,
the data acquisition system of the Internet of things comprises a power diagram, comprehensive electrical parameters, pressure, balance degree, a dynamic liquid level, videos, combustible and harmful gas data acquisition units and is used for acquiring oil well working condition and well site security data and respectively sending the acquired data to an edge computing cluster and a control system;
the transmission network system comprises a wired transmission unit and a wireless transmission unit and is used for rapidly and stably exchanging, transmitting and processing the received oil well working condition and well site security data;
the object edge computing cluster comprises an edge host and an edge computing platform and is used for carrying out general computation on each piece of received oil well working condition data and well site security data to generate remote well shut-in, real-time trajectory tracking, packing oil leakage monitoring and voice alarm instructions, and the corresponding edge host sequentially pushes the instructions to a control system to carry out operation;
the intelligent field brain comprises an oil well working condition diagnosis module, a gas monitoring alarm module, a video identification analysis module and a yield optimization adjustment module, and is used for extracting relevant data from the oil field Internet of things database for integrated analysis after the reported information of the edge computing cluster is received, and generating an auxiliary decision suggestion corresponding to the relevant data for distribution and execution operation;
the oilfield Internet of things database is used for cleaning, processing, correlation integration and classified storage of the collected oil well working condition, well site security and related data received;
the control system comprises an oil well control subsystem and a security equipment subsystem and is used for carrying out operation response on the received operation instructions sent by the edge computing cluster and the well site intelligent brain and submitting feedback results to the oil field Internet of things database for storage.
2. The edge-calculation-based well control system of claim 1, wherein:
the edge computing platform adopts an implanted singlechip and a computing bar and is mainly used for carrying out general computation on each piece of received oil well working condition data and well site security data to generate remote well shut-in, real-time trajectory tracking, packing oil leakage monitoring and voice alarm instruction information,
the edge computing host adopts a plurality of MEC servers and is mainly used for carrying out task marking, storing and uploading on each piece of received oil well working condition data and well site security data and respectively sending the generated instruction information of the edge computing platform to the corresponding control system.
3. An edge calculation based well control system as defined in claim 2, wherein: each MEC server comprises a microprocessor management module, a memory management module, a process management module, a wireless communication module, an HDMI interface module, a USB interface module, a network interface module, a GPIO port expansion module and a power supply module; and the microprocessor management module is used for distributing and processing the received oil well working condition and well site security data, sending the data to the edge computing platform for computing according to the receiving sequence by the process management module, and sending the generated instruction information to the corresponding control system for executing operation.
4. The edge-calculation-based well control system of claim 1, wherein:
after receiving a feedback result of the edge computing cluster, the oil well working condition diagnosis module automatically extracts working condition data of an oil well, such as an indicator diagram, comprehensive electrical parameters, oil pressure, casing pressure, back pressure and balance degree, corresponding to the oil field Internet of things database to perform indicator diagram diagnosis and oil well working condition analysis, and automatically generates an auxiliary decision suggestion to perform distribution and execution operation;
when receiving combustible gas and harmful gas monitoring information uploaded by an edge computing cluster, the gas monitoring and alarming module automatically compares the threshold value, does not perform voice alarm if the threshold value is not reached, generates an auxiliary decision suggestion to distribute if the threshold value is not reached, and performs voice alarm prompt synchronously;
after well site video monitoring information uploaded by the edge computing cluster is received, the video recognition analysis module automatically carries out recognition and comparison on safe dressing, packing and pipeline oil leakage, fire and safety protection conditions according to corresponding rules, and automatically generates trend prediction information and voice alarm prompts according to comparison results to carry out distribution and execution operations;
and after receiving indicator diagrams, water content, working fluid level, produced fluid metering and balance degree information uploaded by the edge computing cluster, the yield optimization adjusting module analyzes and compares the indicator diagrams, the water content, the working fluid level, the produced fluid metering and balance degree information with big data early warning models stored in an oil field Internet of things database respectively, generates trend prediction information and auxiliary decision suggestions, and distributes and executes the trend prediction information and the auxiliary decision suggestions.
5. The edge-calculation-based well control system of claim 1, wherein:
the oil well control subsystem comprises an integrated control cabinet and a servo motor and is used for automatically controlling the oil pumping unit to carry out remote start-stop, stroke adjustment, differential speed adjustment and intermittent pumping optimization operation after receiving instruction information issued by the edge computing cluster and the intelligent brain of the well site;
and the security equipment subsystem is used for automatically performing real-time trajectory tracking, packing oil leakage monitoring and voice alarm operation after receiving an operation instruction issued by the edge computing cluster and the intelligent brain of the well site.
6. The oil well control method based on the edge calculation is characterized by comprising the following steps:
providing a well control system based on edge calculations;
step 1: acquiring indicator diagrams, comprehensive electrical parameters, pressure, balance, dynamic liquid level, video, combustible and harmful gas oil well working conditions and well site security data in real time through a plurality of data acquisition units of the data acquisition system of the Internet of things, and respectively sending the acquired oil well working conditions and the well site security data to an edge computing cluster and a control system;
step 2: carrying out universal calculation on each received oil well working condition and well site security data through the edge calculation cluster to generate remote well shut-in, real-time trajectory tracking, packing oil leakage monitoring and voice alarm instruction information, sequentially pushing the information to a control system by a corresponding edge host to carry out operation, and then sending a feedback result to the well site intelligent brain;
and step 3: after the control system receives the relevant instruction information of the edge computing cluster, the oil well working condition data, the well site security data and the edge computing instruction data are synchronously sent to the oil field Internet of things database for storage in the process of completing remote well shut-down, real-time trajectory tracking, packing oil leakage monitoring and voice alarm operation;
and 4, step 4: after the wisdom brain of the well site receives the relevant information reported by the edge computing cluster, relevant data are extracted from the oil field Internet of things database to carry out oil well working condition diagnosis, gas monitoring alarm, video identification analysis and yield optimization and adjustment integrated analysis, and the generated trend prediction information and the generated auxiliary decision suggestion are respectively sent to an oil extraction team/operation area, an operation and maintenance team and an alarm management department to carry out response;
and 5: and the control system completes corresponding execution operation according to decision instructions of all departments fed back by the intelligent brain of the well site.
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| CN202111397476.XA CN114109320A (en) | 2021-11-23 | 2021-11-23 | Oil well control system and method based on edge calculation |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117784737A (en) * | 2024-02-23 | 2024-03-29 | 西安众望能源科技有限公司 | Intelligent RTU control system for oilfield well site |
| CN117784737B (en) * | 2024-02-23 | 2024-05-10 | 西安众望能源科技有限公司 | Intelligent RTU control system for oilfield well site |
-
2021
- 2021-11-23 CN CN202111397476.XA patent/CN114109320A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117784737A (en) * | 2024-02-23 | 2024-03-29 | 西安众望能源科技有限公司 | Intelligent RTU control system for oilfield well site |
| CN117784737B (en) * | 2024-02-23 | 2024-05-10 | 西安众望能源科技有限公司 | Intelligent RTU control system for oilfield well site |
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