Oil field working condition video AI intelligent early warning system for target detection and accurate identification

Abstract

The invention discloses an oil field working condition video AI intelligent early warning system for target detection and accurate identification, and particularly relates to the field of oil fields, which comprises an oil gas well sensing acquisition module, a monitoring module, a state early warning module, a data acquisition module, a data transmission module and a data analysis module, the oil and gas well sensing and obtaining module is connected with the data acquisition module in a matched mode, the data acquisition module is connected with the monitoring module in a matched mode, the data transmission module is connected with the data acquisition module in a matched mode, the data transmission module is connected with the data analysis module in a matched mode, and the data analysis module is connected and matched with the state early warning module. Oil-gas well working condition data is acquired through the oil-gas well sensing acquisition module, the monitoring module and the data acquisition module and is transmitted to the data analysis module for analysis through the data transmission module, the analyzed data is transmitted to the state early warning module after analysis, and intelligent early warning of oil-gas well intelligent production diagnosis is realized.

Description

Technical Field

[0001] The present invention relates to the field of oilfield technology, and more specifically, to an AI intelligent early warning system for oilfield operating condition videos with accurate target detection and identification. Background Art

[0002] With the rapid development of the national economy and the continuous acceleration of urbanization, my country's demand for energy is increasing. As the pillar of energy, the oil and gas industry is related to the country's economic lifeline. It is of great significance to carry out relevant technical research on oil and gas exploration and development.

[0003] In recent years, with the continuous expansion of the scope of oil and gas development, the production facilities of oil and gas fields are "many points, long lines, and wide areas", and safety management is difficult. Traditional early warning technology is in urgent need of upgrading. As the scale of oil and gas production in oil fields increases year by year, the oil and gas production system composed of "wells, stations, and lines" continues to expand, and the difficulty of safety supervision of production equipment and facilities increases year by year. The technology based on pressure, flow, and temperature as the basic early warning parameters can no longer meet the current safety early warning needs. It is urgent to carry out research on a comprehensive early warning system that is full-process, all-round, and all-weather. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, the present invention provides an AI intelligent early warning system for oilfield working condition videos with accurate target detection and identification to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: an AI intelligent early warning system for oilfield operating conditions video with precise target detection and identification, comprising an oil, gas and water well perception and acquisition module, a monitoring module, a status early warning module, a data acquisition module, a data transmission module and a data analysis module, wherein the oil and gas well perception and acquisition module is connected in coordination with the data acquisition module, the data acquisition module is connected in coordination with the monitoring module, the data transmission module is connected in coordination with the data acquisition module, the data transmission module is connected in coordination with the data analysis module, and the data analysis module is connected in coordination with the status early warning module.

[0006] The operating data of oil, gas and water wells are collected through the oil, gas and water well sensing acquisition module, the monitoring module and the data acquisition module, and transmitted to the data analysis module for analysis through the data transmission module. After analysis, the analyzed data is transmitted to the status warning module, thereby optimizing the all-round collection and transmission of data required for production, establishing a production operation condition diagnosis and analysis model, and realizing intelligent production diagnosis of oil, gas and water wells and automated control of key processes.

[0007] Preferably, the oil, gas and water well sensing and acquisition module includes intelligent oil wells, intelligent water wells and intelligent gas wells.

[0008] Preferably, the three-dimensional dynamic model of the sucker rod-tubing-well fluid of the inline rod pumping device in the intelligent oil well analyzes the real-time power diagram and electrical parameter data and applies machine learning algorithms and big data technology to perform error identification and preprocessing of the ground power diagram.

[0009] Preferably, the intelligent water well cooperates with a monitoring module to monitor the entire process from water source well - water supply station - water injection station - water injection trunk line - water injection valve group - single well.

[0010] Preferably, the intelligent gas well is coordinated with a data acquisition module, and is internally provided with a flow meter, a pressure gauge, and a plunger gas lift control device.

[0011] Preferably, an oil well operating condition diagnosis component is provided in the smart oil well.

[0012] Preferably, the oil well operating condition diagnosis component includes a real-time operating condition diagnosis unit, a historical performance diagram query unit, a performance diagram overlay analysis unit, a multi-well performance diagram browsing unit and a single well early warning disposal unit, so that when diagnosing the oil well operating condition through the real-time diagnosis unit, the historical performance diagram query unit, the performance diagram overlay analysis unit, the multi-well performance diagram browsing unit and the single well early warning disposal unit, it has the functions of real-time diagnosis of operating condition, historical performance diagram query, performance diagram overlay analysis, multi-well performance diagram browsing and single well early warning disposal.

[0013] Technical effects and advantages of the present invention:

[0014] The present invention provides an AI intelligent early warning system for oilfield working condition videos with precise target detection and identification. By introducing, integrating, and innovatively applying new-generation information technologies such as edge computing, parameter perception, and smart terminals, an intelligent working condition perception technology architecture is formed with single-point automatic collection, real-time parameter monitoring, information fragment extraction, and terminal emergency alarms as the main components. It can perceive the working conditions of oil, gas, and water wells, key equipment, gathering and transportation pipelines, production sites, etc. in real time, thereby enabling early warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the overall system structure of the present invention.

[0016] Figure 2 It is a schematic diagram of the structure of the oil well operating condition diagnosis component of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Example 1

[0019] An AI intelligent early warning system for oilfield working condition video with accurate target detection and recognition, with the following structure: Figure 1 As shown, the operating data of oil, gas and water wells are collected through the oil, gas and water well sensing acquisition module, the monitoring module and the data acquisition module, and transmitted to the data analysis module for analysis through the data transmission module. After analysis, the analysis data is transmitted to the status warning module, thereby optimizing the all-round collection and transmission of data required for production, establishing a production operation condition diagnosis and analysis model, and realizing intelligent production diagnosis of oil, gas and water wells and automated control of key processes.

[0020] Example 2

[0021] The implementation of smart oil wells in the AI ​​intelligent early warning system for oilfield operating video with precise target detection and identification, the establishment of a "sucker rod-tubing-well fluid three-dimensional dynamics" model for the rod pumping system, and the application of machine learning algorithms and big data technology to analyze real-time power diagrams and electrical parameter data, perform error identification and preprocessing on the ground power diagram. Comprehensively apply advanced artificial intelligence algorithms such as geometric feature method, vector feature method, expert experience, CNN deep learning, etc., to establish a comprehensive diagnosis model for oil well conditions, and conduct real-time analysis of oil well conditions affected by multiple factors, so as to conduct more accurate oil well condition diagnosis, fault identification, abnormal alarm, etc., which is convenient for technical management personnel to take targeted optimization measures. Figure 2 The oil well operating condition diagnosis component mainly includes functions such as real-time operating condition diagnosis, historical performance chart query, performance chart overlay analysis, multi-well performance chart browsing and single well early warning disposal.

[0022] Real-time diagnosis and classified warning of working conditions are carried out according to the severity of the fault. The first-level warning mainly includes warnings of rod breakage, pump jamming, tubing leakage, etc. that affect the normal production of oil wells. The second-level warning mainly includes warnings of serious insufficient fluid supply, serious gas impact, serious wax deposition, etc. that affect the efficiency of the machine mining system. Through classified warnings, statistical summary of oil well working conditions and quick query of first-level warnings are achieved, and warning information is pushed to technical management personnel in a timely manner.

[0023] Example 3

[0024] The implementation of intelligent water wells in the AI ​​intelligent early warning system of oilfield working condition video with accurate target detection and identification uses technologies such as multi-information fusion diagnosis and data integration application, mainly from the full process monitoring of water source well-water supply station-water injection station-water injection trunk line-water injection valve group-single well, so as to timely grasp the real-time information of source, supply and injection. Conventional water injection, through quality filtering, logical judgment, and business calculation summary of data, forms a comprehensive report on water injection situation, and issues early warning alarms for water injection-related operating parameters and operating links; digital sub-injection wells, based on directional well small water volume precision sub-injection technology, have developed the fourth-generation wave code communication digital sub-injection technology of PetroChina, and developed an analysis model for automatic data collection, abnormal diagnosis, and automatic analysis of water injection wells, realizing real-time dynamic monitoring of water injection well pressure, flow and other data, and automatic early warning of safe production conditions.

[0025] Example 4

[0026] The implementation of intelligent gas wells in the AI ​​intelligent early warning system of oilfield operating conditions video with precise target detection and identification, through data collation and analysis, comprehensively uses critical liquid carrying flow calculation model, oil-casing pressure difference expert experience method, gas volume change law production fitting method and other judgment method models to carry out gas well operation condition diagnosis, intelligent adjustment of participation and opening, plunger gas lift intelligent control, bubble drainage and injection intelligent optimization, combined with dynamic monitoring data and intelligent liquid level monitoring data, to timely discover "abnormal production" gas wells.

[0027] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An AI intelligent early warning system for oilfield working condition videos with accurate target detection and identification. Features: It includes an oil, gas and water well sensing and acquisition module, a monitoring module, a status warning module, a data acquisition module, a data transmission module and a data analysis module. The oil and gas well sensing and acquisition module is connected with the data acquisition module, the data acquisition module is connected with the monitoring module, the data transmission module is connected with the data acquisition module, the data transmission module is connected with the data analysis module, and the data analysis module is connected with the status warning module.

2. According to claim 1, an AI intelligent early warning system for oilfield working condition video with accurate target detection and identification, Features: The oil, gas and water well sensing and acquisition module includes intelligent oil wells, intelligent water wells and intelligent gas wells.

3. According to claim 2, an AI intelligent early warning system for oilfield working condition video with accurate target detection and identification, Features: The intelligent oil well internal connected rod pumping device has a three-dimensional dynamic model of sucker rod-oil pipe-well fluid.

4. According to claim 3, an AI intelligent early warning system for oilfield working condition video with accurate target detection and identification, Features: The intelligent water well cooperates with the monitoring module to monitor the entire process from water source well - water supply station - water injection station - water injection trunk line - water injection valve group - single well.

5. According to claim 4, an AI intelligent early warning system for oilfield working condition video with accurate target detection and identification, Features: The intelligent gas well cooperates with a data acquisition module and is internally provided with a flow meter, a pressure gauge, and a plunger gas lift control device.

6. According to claim 5, an AI intelligent early warning system for oilfield working condition video with accurate target detection and identification, Features: An oil well operating condition diagnosis component is arranged in the intelligent oil well.

7. According to claim 6, an AI intelligent early warning system for oilfield working condition video with accurate target detection and identification, Features: The oil well working condition diagnosis component includes a working condition real-time diagnosis unit, a historical performance diagram query unit, a performance diagram overlay analysis unit, a multi-well performance diagram browsing unit and a single well early warning disposal unit.

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