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CN-121997212-A - Oil-gas well automatic control system based on cloud computing

CN121997212ACN 121997212 ACN121997212 ACN 121997212ACN-121997212-A

Abstract

The invention relates to the technical field of oil and gas well automation control systems, in particular to an oil and gas well automation control system based on cloud computing, which has the technical problems that when the oil and gas well automation control system is used, data processing and control are performed by a local server or an industrial personal computer, real-time performance is high, the oil and gas well automation control system is limited by local computing capacity and network bandwidth, multiple data analysis on internal conditions of an oil and gas well is inconvenient, the oil and gas well automation control system comprises a data analysis module, and compared with a traditional oil and gas well automation control system, the oil and gas well automation control system is limited by the local computing capacity and the network bandwidth, multiple data analysis on internal conditions of the oil and gas well is inconvenient, and can optimize control strategies in real time and send instructions to an edge end for execution through the cloud computing capacity and the storage resources.

Inventors

  • XU BIN
  • HUANG TIANHU
  • REN XIAORONG
  • ZHANG JINSUO
  • CHEN WEI
  • WANG HAIFENG
  • LI ERYANG
  • CHEN ZHE

Assignees

  • 中国石油天然气股份有限公司

Dates

Publication Date
20260508
Application Date
20241108

Claims (10)

  1. 1. The cloud computing-based oil and gas well automation control system is characterized by comprising the following components: The data acquisition module is used for acquiring various data of the oil and gas well; the data transmission module is used for transmitting the oil and gas well data acquired by the data acquisition module; The data preprocessing module is used for preprocessing the data transmitted by the data transmission module; the data analysis module is used for analyzing and calculating the data of the oil and gas well; the automatic control module is used for sending an instruction to the control equipment through the analysis result of the data analysis module; The data storage module is used for carrying out cloud backup on the acquired and analyzed and calculated data; And the data feedback module is used for connecting the user terminal and the system terminal for interaction.
  2. 2. The cloud computing based oil and gas well automation control system of claim 1, wherein the data acquisition module comprises various sensors, such as a pressure sensor, a temperature sensor, a flow sensor and the like, wherein the various sensors are used for acquiring production data of an oil and gas well in real time, and data support is provided for analysis, control and management of the oil and gas well by measuring the pressure, temperature, flow, liquid level, electric quantity and the like in the oil and gas well.
  3. 3. The cloud computing-based oil and gas well automation control system according to claim 2, wherein the data transmission module comprises a 3g information transmission module, a 4g signal transmission module, a Bluetooth transmission module and a GPS signal module, and the data transmission module establishes a stable signal transmission chain by using the 3g information transmission module, the 4g signal transmission module, the Bluetooth transmission module and the GPS signal module through intelligent judgment of signal intensity and transmits data acquired by the data acquisition module to the data preprocessing module.
  4. 4. The automated control system of an oil and gas well based on cloud computing as set forth in claim 3, wherein the data preprocessing module is configured to preprocess the sensor detection data transmitted by the data transmission module, remove the interference data in the received data, reduce the influence of the interference part on the sensitivity of the automated control system of the oil and gas well, and transmit the preprocessed data to the data computing module.
  5. 5. The cloud computing-based oil and gas well automation control system of claim 4, wherein the data analysis module is used for computing the data processed by the data preprocessing module through the cloud computing platform, rapidly processing and analyzing the sensor data, performing deep mining and intelligent analysis on the processed data, predicting the running state and production performance of an oil well, and providing decision basis for automation control.
  6. 6. The cloud computing based oil and gas well automation control system of claim 5, wherein the data analysis module comprises the following steps: S11, after receiving the data, the cloud server firstly stores the data so as to analyze and process the data subsequently; s12, processing and analyzing the received data by utilizing the powerful computing power of cloud computing; s13, comparing the processed data with a preset normal data range or historical data; S14, the data comparison result shows that the oil and gas well is abnormal, and the system automatically triggers an abnormality detection mechanism; S15, after confirming the abnormality, the system analyzes the abnormality according to a preset algorithm.
  7. 7. The cloud computing based oil and gas well automation control system of claim 6, wherein the automation control module is used for sending control instructions to control equipment on the oil and gas well site according to the analysis result of the data analysis module, and the automatic adjustment and automatic control of the oil and gas well production process are achieved through remote transmission of abnormal condition control instructions.
  8. 8. The automated control system of oil and gas well based on cloud computing as set forth in claim 7, wherein the data storage module comprises an information resource management sub-module and a cloud storage terminal, and the integrated data are managed and stored by integrating the computed oil and gas well collection data and the computed analysis data, and the oil and gas well collection data and the computed analysis data are stored and backed up to the cloud.
  9. 9. The cloud computing based oil and gas well automation control system as set forth in claim 8, wherein when the data storage module performs backup storage on the data, the method comprises the following steps: A21, establishing a main document on the cloud platform according to the corresponding date; a22, establishing classified sub-documents in the main document according to the classified information; a23, compressing, encrypting and backing up the oil and gas well acquired data and analysis data; A24, collecting data and analyzing the data of the oil and gas well, and putting the data into the sub-document.
  10. 10. The cloud computing-based oil and gas well automation control system of claim 9, wherein the data feedback module is used for realizing remote monitoring of the oil and gas well production process through a cloud platform, and a user can check the running state, production data, alarm information and the like of the oil and gas well at any time and any place through terminal equipment such as a computer, a mobile phone and the like.

Description

Oil-gas well automatic control system based on cloud computing Technical Field The invention relates to the technical field of oil and gas well automation control systems, in particular to an oil and gas well automation control system based on cloud computing. Background The automatic control system of the oil and gas well is a system for carrying out remote monitoring, automatic control and data management on the exploitation process of the oil and gas well through an integrated sensor, an actuator, a controller and an advanced communication technology, can monitor the operation state of the oil and gas well in real time, comprises key parameters such as pressure, temperature, flow and the like, automatically adjusts the operation state of exploitation equipment according to a preset control strategy so as to improve the production efficiency, reduce the operation cost and ensure the safe production, but when the automatic control system of the oil and gas well is used, a distributed control or centralized control architecture is generally adopted, a local server or an industrial personal computer is relied for carrying out data processing and control, the real-time performance is high, but the system is limited by local computing capacity and network bandwidth and is inconvenient for carrying out multiple data analysis on the internal condition of the oil and gas well. Disclosure of Invention In order to overcome the problems that when an automatic control system of an oil and gas well is used, a distributed control or centralized control architecture is generally adopted, a local server or an industrial personal computer is relied on for data processing and control, the real-time performance is high, the system is limited by local computing capacity and network bandwidth, and the internal condition of the oil and gas well is inconvenient to carry out multi-data analysis. The technical scheme of the invention is that the oil-gas well automatic control system based on cloud computing comprises: The data acquisition module is used for acquiring various data of the oil and gas well; the data transmission module is used for transmitting the oil and gas well data acquired by the data acquisition module; The data preprocessing module is used for preprocessing the data transmitted by the data transmission module; the data analysis module is used for analyzing and calculating the data of the oil and gas well; the automatic control module is used for sending an instruction to the control equipment through the analysis result of the data analysis module; The data storage module is used for carrying out cloud backup on the acquired and analyzed and calculated data; And the data feedback module is used for connecting the user terminal and the system terminal for interaction. Preferably, the data acquisition module comprises various sensors, such as a pressure sensor, a temperature sensor, a flow sensor and the like, wherein the various sensors are used for acquiring production data of the oil and gas well in real time, and data support is provided for analysis, control and management of the oil and gas well by measuring the data of the pressure, the temperature, the flow, the liquid level, the electric quantity and the like in the oil and gas well. Preferably, the data transmission module comprises a 3g information transmission module, a 4g signal transmission module, a Bluetooth transmission module and a GPS signal module, wherein the data transmission module establishes a stable signal transmission chain by utilizing the 3g information transmission module, the 4g signal transmission module, the Bluetooth transmission module and the GPS signal module through intelligently judging the signal intensity, and transmits the data acquired by the data acquisition module to the data preprocessing module. Preferably, the data preprocessing module is used for preprocessing detection data of various sensors transmitted by the data transmission module, removing interference data in the received data, reducing the influence of an interference part on the sensitivity of the oil and gas well automatic control system, and transmitting the preprocessed data to the data calculation module. Preferably, the data analysis module is used for calculating the data processed by the data preprocessing module through the cloud computing platform, rapidly processing and analyzing the sensor data, performing deep mining and intelligent analysis on the processed data, predicting the running state and production performance of the oil well, and providing decision basis for automatic control. Preferably, the data analysis module comprises the following steps when working: S11, after receiving the data, the cloud server firstly stores the data so as to analyze and process the data subsequently; s12, processing and analyzing the received data by utilizing the powerful computing power of cloud computing; s13, comparing the processed data with a prese