Oil and gas well automatic control system based on cloud computing

Abstract

The invention relates to the technical field of oil-gas well automatic control systems, in particular to an oil-gas well automatic control system based on cloud computing. The technical problems are as follows: when an automatic control system of an oil and gas well is used, data processing and control are performed depending on a local server or an industrial personal computer, the real-time performance is relatively high, but the local computing power and the network bandwidth are limited, and multi-data analysis on the internal condition of the oil and gas well is inconvenient; according to the technical scheme, the automatic control system for the oil and gas well comprises a data analysis module; compared with a traditional oil-gas well automatic control system, the oil-gas well automatic control system depends on a local server or an industrial personal computer to carry out data processing and control, but is limited by local computing power and network bandwidth, so that multi-data analysis on the internal condition of an oil-gas well is inconvenient; according to the automatic control system for the oil and gas well, deep analysis and processing are carried out through the powerful computing power and storage resources of cloud computing, and the cloud end can optimize a control strategy in real time and issue an instruction to the edge end for execution.

Description

Technical Field

[0001] This invention relates to the field of automated control systems for oil and gas wells, and more particularly to an automated control system for oil and gas wells based on cloud computing. Background Technology

[0002] An automated control system for oil and gas wells refers to a system that integrates sensors, actuators, controllers, and advanced communication technologies to remotely monitor, automatically control, and manage data during the oil and gas well extraction process. This system can monitor the operating status of oil and gas wells in real time, including key parameters such as pressure, temperature, and flow rate, and automatically adjust the operating status of extraction equipment according to preset control strategies to improve production efficiency, reduce operating costs, and ensure safe production. However, when using an automated control system for oil and gas wells, a distributed control or centralized control architecture is usually adopted, relying on local servers or industrial control computers for data processing and control. While it has strong real-time performance, it is limited by local computing power and network bandwidth, making it inconvenient to perform multi-data analysis of the internal conditions of oil and gas wells. Summary of the Invention

[0003] To overcome the problem that when using automated control systems for oil and gas wells, the distributed or centralized control architecture is usually adopted, relying on local servers or industrial control computers for data processing and control. While this provides strong real-time performance, it is limited by local computing power and network bandwidth, making it inconvenient to perform multi-data analysis of the internal conditions of oil and gas wells.

[0004] The technical solution of this invention is: an automated control system for oil and gas wells based on cloud computing, comprising: Data acquisition module: Used to collect various data from oil and gas wells; Data transmission module: used to transmit oil and gas well data acquired by the data acquisition module; Data preprocessing module: Used to preprocess the data transmitted by the data transmission module; Data analysis module: used to analyze and calculate data from oil and gas wells; Automation control module: Used to send commands to control equipment based on the results analyzed by the data analysis module; Data storage module: used for cloud backup of collected and analyzed data; Data feedback module: Used to connect the user end and the system end for interaction.

[0005] Preferably, the data acquisition module includes various types of sensors, such as pressure sensors, temperature sensors, and flow sensors. These sensors are used to collect production data from oil and gas wells in real time. By measuring data such as pressure, temperature, flow rate, liquid level, and electrical quantity in oil and gas wells, data support is provided for the analysis, control, and management of oil and gas wells.

[0006] Preferably, the data transmission module includes a 3G information transmission module, a 4G signal transmission module, a Bluetooth transmission module, and a GPS signal module. The data transmission module intelligently judges the signal strength and uses the 3G information transmission module, 4G signal transmission module, Bluetooth transmission module, and GPS signal module to establish a stable signal transmission chain, transmitting the data collected by the data acquisition module to the data preprocessing module.

[0007] Preferably, the data preprocessing module is used to preprocess various sensor detection data transmitted by the data transmission module, remove interference data from the received data, reduce the impact of interference on the sensitivity of the oil and gas well automation control system, and transmit the preprocessed data to the data calculation module.

[0008] As a preferred embodiment, the data analysis module is used to perform calculations on the data processed by the data preprocessing module through a cloud computing platform, to quickly process and analyze the sensor data, to deeply mine and intelligently analyze the processed data, to predict the operating status and production performance of the oil well, and to provide decision-making basis for automated control.

[0009] Preferably, the data analysis module includes the following steps when it is working: S11: After receiving the data, the cloud server first stores it for subsequent data analysis and processing; S12: Utilize the powerful computing capabilities of cloud computing to process and analyze the received data; S13: Compare the processed data with the preset normal data range or historical data; S14: Data comparison results indicate anomalies in oil and gas wells; the system will automatically trigger the anomaly detection mechanism. S15: After confirming the anomaly, the system will analyze the anomaly according to the preset algorithm.

[0010] Preferably, the automation control module is used to send control commands to the control equipment at the oil and gas well site based on the analysis results of the data analysis module. By remotely transmitting control commands for abnormal situations, the automatic adjustment and automatic control of the oil and gas well production process can be achieved.

[0011] Preferably, by detecting oil and gas wells, the detected information is transmitted to the cloud for calculation. After calculation, the data is compared with normal data. When normal, the detection function is realized. If an anomaly occurs, the equipment inside the oil and gas well is remotely controlled according to the algorithm analysis. This realizes intelligent monitoring and management of oil and gas wells, which not only improves production efficiency and safety, but also reduces labor costs and operational risks.

[0012] As a preferred embodiment, the data storage module includes an information resource management sub-module and a cloud storage terminal. By integrating the calculated oil and gas well acquisition data and analysis data, the integrated data is managed and stored, and the oil and gas well acquisition data and analysis data are backed up to the cloud.

[0013] Preferably, when the data storage module backs up and stores data, the following methods are included: A21: Create the master document on the cloud platform based on the corresponding date; A22: Create category sub-documents within the main document based on the category information; A23: Compress and encrypt backups of oil and gas well data and analysis data; A24: Collect and analyze data from oil and gas wells, and place them in a sub-document.

[0014] Preferably, the data storage module facilitates the permanent storage of various data required by the system, effectively backing up oil and gas well acquisition and analysis data. The data storage module can efficiently improve the system's response speed and processing efficiency.

[0015] As a preferred option, the data feedback module is used to remotely monitor the production process of oil and gas wells through a cloud platform. Users can view the operating status, production data, and alarm information of oil and gas wells anytime and anywhere through terminal devices such as computers and mobile phones.

[0016] The beneficial effects of this invention are: 1. Compared to traditional oil and gas well automation control systems, which typically employ distributed or centralized control architectures and rely on local servers or industrial control computers for data processing and control, this oil and gas well automation control system transmits data to the cloud in real time through IoT technology. It utilizes the powerful computing capabilities and storage resources of cloud computing for in-depth analysis and processing. The cloud can optimize control strategies in real time and send instructions to the edge for execution. 2. By detecting oil and gas wells, the detected information is transmitted to the cloud for calculation. After calculation, the data is compared with normal data. When normal, the detection function is realized. If an anomaly occurs, the equipment inside the oil and gas well is remotely controlled according to the algorithm analysis. This realizes intelligent monitoring and management of oil and gas wells, which not only improves production efficiency and safety, but also reduces labor costs and operational risks. 3. The data storage module facilitates the permanent storage of various data required by the system, effectively backing up oil and gas well acquisition and analysis data. The data storage module can efficiently improve the system's response speed and processing efficiency. Attached Figure Description

[0017] Figure 1 The diagram shows the workflow of the data analysis module of the cloud-based automated control system for oil and gas wells according to the present invention. Detailed Implementation

[0018] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0019] Please see Figure 1 This invention provides an embodiment of an automated control system for oil and gas wells based on cloud computing, comprising: Data acquisition module: Used to collect various data from oil and gas wells; Data transmission module: used to transmit oil and gas well data acquired by the data acquisition module; Data preprocessing module: Used to preprocess the data transmitted by the data transmission module; Data analysis module: used to analyze and calculate data from oil and gas wells; Automation control module: Used to send commands to control equipment based on the results analyzed by the data analysis module; Data storage module: used for cloud backup of collected and analyzed data; Data feedback module: Used to connect the user end and the system end for interaction.

[0020] Preferably, the data acquisition module includes various types of sensors, such as pressure sensors, temperature sensors, and flow sensors. These sensors are used to collect production data from oil and gas wells in real time. By measuring data such as pressure, temperature, flow rate, liquid level, and electrical quantity in oil and gas wells, data support is provided for the analysis, control, and management of oil and gas wells.

[0021] Preferably, the data transmission module includes a 3G information transmission module, a 4G signal transmission module, a Bluetooth transmission module, and a GPS signal module. The data transmission module intelligently judges the signal strength and uses the 3G information transmission module, 4G signal transmission module, Bluetooth transmission module, and GPS signal module to establish a stable signal transmission chain, transmitting the data collected by the data acquisition module to the data preprocessing module.

[0022] Preferably, the data preprocessing module is used to preprocess various sensor detection data transmitted by the data transmission module, remove interference data from the received data, reduce the impact of interference on the sensitivity of the oil and gas well automation control system, and transmit the preprocessed data to the data calculation module.

[0023] As a preferred embodiment, the data analysis module is used to perform calculations on the data processed by the data preprocessing module through a cloud computing platform, to quickly process and analyze the sensor data, to deeply mine and intelligently analyze the processed data, to predict the operating status and production performance of the oil well, and to provide decision-making basis for automated control.

[0024] Preferably, the data analysis module includes the following steps when it is working: S11: After receiving the data, the cloud server first stores it for subsequent data analysis and processing; S12: Utilize the powerful computing capabilities of cloud computing to process and analyze the received data; S13: Compare the processed data with the preset normal data range or historical data; S14: Data comparison results indicate anomalies in oil and gas wells; the system will automatically trigger the anomaly detection mechanism. S15: After confirming the anomaly, the system will analyze the anomaly according to the preset algorithm.

[0025] Preferably, the automation control module is used to send control commands to the control equipment at the oil and gas well site based on the analysis results of the data analysis module. By remotely transmitting control commands for abnormal situations, the automatic adjustment and automatic control of the oil and gas well production process can be achieved.

[0026] Preferably, by detecting oil and gas wells, the detected information is transmitted to the cloud for calculation. After calculation, the data is compared with normal data. When normal, the detection function is realized. If an anomaly occurs, the equipment inside the oil and gas well is remotely controlled according to the algorithm analysis. This realizes intelligent monitoring and management of oil and gas wells, which not only improves production efficiency and safety, but also reduces labor costs and operational risks.

[0027] As a preferred embodiment, the data storage module includes an information resource management sub-module and a cloud storage terminal. By integrating the calculated oil and gas well acquisition data and analysis data, the integrated data is managed and stored, and the oil and gas well acquisition data and analysis data are backed up to the cloud.

[0028] Preferably, when the data storage module backs up and stores data, the following methods are included: A21: Create the master document on the cloud platform based on the corresponding date; A22: Create category sub-documents within the main document based on the category information; A23: Compress and encrypt backups of oil and gas well data and analysis data; A24: Collect and analyze data from oil and gas wells, and place them in a sub-document.

[0029] Preferably, the data storage module facilitates the permanent storage of various data required by the system, effectively backing up oil and gas well acquisition and analysis data. The data storage module can efficiently improve the system's response speed and processing efficiency.

[0030] As a preferred option, the data feedback module is used to remotely monitor the production process of oil and gas wells through a cloud platform. Users can view the operating status, production data, and alarm information of oil and gas wells anytime and anywhere through terminal devices such as computers and mobile phones.

[0031] Example 1 Optionally, during data acquisition and preprocessing, the data acquisition module uses various types of sensors, such as pressure sensors, temperature sensors, and flow sensors, to collect production data such as pressure, temperature, flow rate, liquid level, and power in the oil and gas well in real time. The data preprocessing module receives the data from the data acquisition module, performs preprocessing operations to remove interfering data, reduce its impact on the system's sensitivity, and transmits the preprocessed data to the data analysis module.

[0032] Example 2 Optionally, when ensuring data transmission and stability, the data transmission module utilizes 3G, 4G signal transmission modules, Bluetooth transmission modules, and GPS signal modules to intelligently determine signal strength and establish a stable signal transmission chain, ensuring that the data collected by the data acquisition module can be stably and reliably transmitted to the data preprocessing module.

[0033] Example 3 Optionally, during data analysis and anomaly detection, the data analysis module uses a cloud computing platform to quickly process and analyze the preprocessed data, perform in-depth mining and intelligent analysis, and predict the operating status and production performance of oil wells. The system compares the processed data with preset normal data ranges or historical data. Once an anomaly is detected, the anomaly detection mechanism will be automatically triggered, and the anomaly will be analyzed according to preset algorithms to provide decision-making basis for automated control.

[0034] Example 4 Optionally, during automated control and data storage, the automated control module sends control commands to the control equipment at the oil and gas well site based on the results of the data analysis module, thereby achieving automatic adjustment and control of the oil and gas well production process. The data storage module integrates the collected data and analysis results and performs cloud backup. A master document is created on the cloud platform according to the corresponding date, and then sub-documents are created according to classification information. The data is compressed and encrypted before being stored in the cloud, facilitating the permanent preservation of various data required by the system and improving the system's response speed and processing efficiency.

[0035] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of the present invention.

Claims

1. An automated control system for oil and gas wells based on cloud computing; characterized in that: Including: Data acquisition module: Used to collect various data from oil and gas wells; Data transmission module: used to transmit oil and gas well data acquired by the data acquisition module; Data preprocessing module: Used to preprocess the data transmitted by the data transmission module; Data analysis module: used to analyze and calculate data from oil and gas wells; Automation control module: Used to send commands to control equipment based on the results analyzed by the data analysis module; Data storage module: used for cloud backup of collected and analyzed data; Data feedback module: Used to connect the user end and the system end for interaction.

2. The cloud-based automated control system for oil and gas wells according to claim 1, characterized in that: The data acquisition module includes various types of sensors, such as pressure sensors, temperature sensors, and flow sensors. These sensors are used to collect production data from oil and gas wells in real time. By measuring data such as pressure, temperature, flow rate, liquid level, and electrical quantity in oil and gas wells, the module provides data support for the analysis, control, and management of oil and gas wells.

3. The cloud-based automated control system for oil and gas wells according to claim 2, characterized in that: The data transmission module includes a 3G information transmission module, a 4G signal transmission module, a Bluetooth transmission module, and a GPS signal module. The data transmission module intelligently judges the signal strength and uses the 3G information transmission module, 4G signal transmission module, Bluetooth transmission module, and GPS signal module to establish a stable signal transmission chain, transmitting the data collected by the data acquisition module to the data preprocessing module.

4. The cloud-based automated control system for oil and gas wells according to claim 3, characterized in that: The data preprocessing module is used to preprocess various sensor detection data transmitted by the data transmission module, remove interference data from the received data, reduce the impact of interference on the sensitivity of the oil and gas well automation control system, and transmit the preprocessed data to the data calculation module.

5. The cloud-based automated control system for oil and gas wells according to claim 4, characterized in that: The data analysis module is used to perform calculations on the data processed by the data preprocessing module through the cloud computing platform, to quickly process and analyze the sensor data, to deeply mine and intelligently analyze the processed data, to predict the operating status and production performance of oil wells, and to provide decision-making basis for automated control.

6. The cloud-based automated control system for oil and gas wells according to claim 5, characterized in that: The data analysis module operates by including the following steps: S11: After receiving the data, the cloud server first stores it for subsequent data analysis and processing; S12: Utilize the powerful computing capabilities of cloud computing to process and analyze the received data; S13: Compare the processed data with the preset normal data range or historical data; S14: Data comparison results indicate anomalies in oil and gas wells; the system will automatically trigger the anomaly detection mechanism. S15: After confirming the anomaly, the system will analyze the anomaly according to the preset algorithm.

7. The cloud-based automated control system for oil and gas wells according to claim 6, characterized in that: The automation control module is used to send control commands to the control equipment at the oil and gas well site based on the analysis results of the data analysis module. By remotely transmitting control commands for abnormal situations, it can realize the automatic adjustment and automatic control of the oil and gas well production process.

8. The cloud-based automated control system for oil and gas wells according to claim 7, characterized in that: The data storage module includes an information resource management submodule and a cloud storage terminal. It integrates the calculated oil and gas well acquisition data and analysis data, manages and stores the integrated data, and backs up the oil and gas well acquisition data and analysis data to the cloud.

9. The cloud-based automated control system for oil and gas wells according to claim 8, characterized in that: When the data storage module backs up and stores data, the following methods are included: A21: Create the master document on the cloud platform based on the corresponding date; A22: Create category sub-documents within the main document based on the category information; A23: Compress and encrypt backups of oil and gas well data and analysis data; A24: Collect and analyze data from oil and gas wells, and place them in a sub-document.

10. The cloud-based automated control system for oil and gas wells according to claim 9, characterized in that: The data feedback module is used to remotely monitor the production process of oil and gas wells through a cloud platform. Users can view the operating status, production data, and alarm information of oil and gas wells anytime and anywhere through terminal devices such as computers and mobile phones.

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