Oil and gas well data acquisition sensing equipment based on multiphase measurement and intelligent system

Abstract

The invention discloses oil and gas well data acquisition sensing equipment based on multiphase measurement and an intelligent system, and belongs to the technical field of oil and gas exploitation. In order to solve the problems that oil and gas well data measurement is inaccurate, time delay exists, hysteresis may exist in the aspect of anomaly detection, and abnormal conditions cannot be responded and handled in time, a multiphase flowmeter, a pressure sensor, a temperature sensor and a differential pressure sensor are arranged. Real-time accurate measurement of oil, gas and water three-phase flow and holdup in the oil-gas well production process is achieved, meanwhile, pressure and temperature key parameters of fluid are monitored, accurate prediction of the oil-gas well production state is achieved, the key parameters such as flow, pressure and temperature are continuously monitored by monitoring threshold values, and the oil-gas well production state is accurately predicted. The monitoring management module can timely find and early warn abnormal conditions, equipment damage and production accidents can be prevented, an alarm mechanism is automatically triggered when the abnormal conditions are detected, production loss is reduced through timely intervention, and the overall safety production level is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas exploitation, and in particular to oil and gas well data acquisition sensor equipment and an intelligent system based on multiphase metering. Background Art

[0002] In the process of oil and gas extraction, the casing pressure, oil pressure and downhole temperature of the oil and gas wellhead casing are essential measurement parameters. Accurate parameters such as casing pressure, oil pressure and temperature play a vital role in the effective extraction of oil and gas.

[0003] However, there are still the following problems in actual operation: In the existing technology, the measurement of the three-phase flow and content of oil, gas and water in the production process of oil and gas wells is often not accurate enough and there is a time delay. At the same time, there is a lack of predictive ability based on historical data, and it is impossible to provide effective decision-making support for enterprises. There may be a lag in anomaly detection, and it is impossible to respond and handle abnormal situations in a timely manner. Summary of the invention

[0004] The purpose of the present invention is to provide an oil and gas well data acquisition sensor device and an intelligent system based on multiphase metering to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: an oil and gas well data acquisition sensor device based on multiphase metering, comprising: Multiphase flowmeter, used to measure the flow and content of oil, gas and water in real time, and monitor the pressure and temperature parameters of the fluid. The multiphase flowmeter is installed at the wellhead of the oil and gas well and the gathering and transportation pipeline, and covers all links in the production process; Pressure sensors, used to measure pressure changes in different parts of the oil well; Temperature sensors to monitor fluid temperature and well temperature; Differential pressure sensor, used to assist flow measurement, measures the pressure difference when the fluid passes through the pipeline; The data acquisition module is used to receive the oil and gas well data collected by the multiphase flow meter, the pressure sensor, the temperature sensor and the differential pressure sensor, and transmit the oil and gas well data, wherein the data acquisition unit includes: Data collector, used to receive sensor signals. The data collector integrates ADC and low-power microcontroller to perform preliminary data processing and conversion; The wireless transmission unit is used to transmit the collected data to the oil and gas well data collection intelligent system based on multiphase metering through wireless radio frequency.

[0006] Furthermore, the intelligent system for oil and gas well data acquisition based on multiphase metering is applied to the above-mentioned oil and gas well data acquisition sensing equipment based on multiphase metering, including: Data acquisition processing module, used for: Through wireless connection with the data acquisition module, the original data output by the data acquisition module is obtained in real time, and the original data is cleaned, denoised, and calibrated, abnormal values ​​are automatically identified and eliminated, and the data is smoothed to reduce noise interference; Data storage management module, used for: Select and deploy a database based on the data volume and access requirements, build a data table structure and index strategy, store real-time and historical data of oil and gas wells, provide data query and retrieval functions, and back up data regularly; Data analysis module for: Process oil and gas well data in real time, display the production status and key parameters of oil and gas wells through a visual interface, build a prediction model based on historical data and real-time data to make production forecasts, and identify abnormal situations in the production process; Monitoring and management module, used for: Real-time monitoring of the production status of oil and gas wells, including changes in flow, pressure and temperature parameters, setting alarm thresholds and rules, automatically triggering the alarm mechanism when abnormal conditions are detected, and notifying staff via SMS or email. The abnormal conditions include abnormal flow and sudden pressure changes, deploying remote control channels, establishing connections with oil and gas well production equipment, and allowing users to adjust production parameters or perform emergency shutdown operations through remote operations.

[0007] Furthermore, the data acquisition processing module includes: A data receiving unit is used to: The data packets from the data acquisition module are continuously monitored through the wireless network interface, the received data packets are parsed, and the oil and gas well data are extracted. The oil and gas well data includes the flow rate, content, pressure, temperature and differential pressure information of the three phases of oil, gas and water, and the parsed data are temporarily stored in the local cache.

[0008] Furthermore, the data acquisition processing module further includes: Data pre-processing unit, used for: Perform preliminary processing on the received raw data, identify and remove duplicate data, incomplete data, and data with incorrect format, smooth the noisy data through digital filtering, synchronize the timestamps of all data, and divide the continuous data stream into multiple data segments; Exception rejection unit, used to: The oil and gas well data are calibrated according to the calibration model, and outliers in the data are identified based on the box plot method. The detected outliers are removed and replaced with adjacent values, and the outlier information of the outliers is recorded, and the outlier information includes time, type, and processing method.

[0009] Furthermore, the data storage management module includes: Data storage unit for: Select a database based on the data volume and access frequency. Design field types, index strategies, and partition strategies based on business needs and data characteristics. Write pre-processed data into database tables in batches and in real time, create indexes for database tables, and back up database data regularly.

[0010] Furthermore, the data storage management module further includes: Data maintenance unit, used for: Clean up expired and invalid data, as well as redundant and duplicate data, monitor database performance, perform regular data consistency checks, handle data conflicts and concurrency issues in concurrent write scenarios, manage database user permissions and access control policies, and audit database logs.

[0011] Furthermore, the data analysis module includes: Model building prediction unit, used to: Build a prediction model, divide historical data into training set and test set, use the training set data to train the selected algorithm, adjust the model parameters, use the test set data to evaluate the model, adjust the model according to the evaluation results, apply the trained model to real-time data, perform production predictions, and display the prediction results through a visual interface.

[0012] Furthermore, the data analysis module further includes: Anomaly detection diagnostic unit for: According to historical data and business rules, abnormal thresholds of flow, pressure and temperature parameters are set, data from the data acquisition module is received and processed in real time, and changes in each parameter are monitored. When the parameter value exceeds the set threshold, it is determined to be an abnormal situation, and the abnormal time and parameter value are recorded, and an abnormal diagnosis report is generated. The abnormal diagnosis report includes the abnormal situation, possible abnormal causes and recommended solutions.

[0013] Furthermore, the monitoring management module includes: Real-time monitoring unit for: The data acquisition and processing module acquires the production data of oil and gas wells in real time, displays the production status of oil and gas wells in real time through visual dashboards and charts, sets monitoring thresholds for flow, pressure and temperature parameters, continuously monitors whether flow, pressure and temperature parameters are within the normal range based on the monitoring thresholds, and records important events and data changes during the monitoring process in the monitoring log; Abnormal detection alarm unit, used for: When an abnormal situation is detected, the alarm mechanism is automatically triggered to record the abnormal details, including the abnormal type, occurrence time, and impact range. The abnormal information is sent to operation and maintenance personnel and management personnel via SMS, email, and system notification.

[0014] Furthermore, the monitoring management module further includes: Remote control operating unit for: Establish a connection with the production equipment of the oil and gas well through the remote control channel, authenticate and verify the identity of the remote operation request, send control instructions to the production equipment according to user needs, realize the remote control function, and feedback the operation results to the user. The operation results include whether the operation is successful and whether the equipment status has changed. The process and results of the remote operation are recorded in the operation log.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention uses multi-phase flowmeters, pressure sensors, temperature sensors, differential pressure sensors and other types of sensors to achieve real-time and accurate measurement of the three-phase flow and content of oil, gas and water in the production process of oil and gas wells, while monitoring key parameters such as fluid pressure and temperature, providing a solid foundation for subsequent data analysis and production management, and transmitting data to the intelligent system through wireless radio frequency technology, reducing wiring costs and complexity.

[0016] 2. The present invention constructs a prediction model and uses historical data for training and verification, so as to achieve accurate prediction of the production status of oil and gas wells, help enterprises plan production in advance, and respond quickly to abnormalities to reduce losses. At the same time, the prediction results are displayed through a visual interface, making the decision-making process more intuitive and convenient, recording the time and parameter values ​​of the abnormalities, providing possible causes of the abnormalities and suggested solutions, so that staff can have a basis to rely on when handling the abnormalities, reducing trial and error costs, and improving processing efficiency. At the same time, it provides an important reference for subsequent troubleshooting and preventive measures.

[0017] 3. The present invention continuously monitors key parameters such as flow, pressure, and temperature through monitoring thresholds. The monitoring management module can promptly detect and warn of abnormal situations, which helps prevent equipment damage and production accidents. It can also reduce production losses through timely intervention and improve the overall level of safe production. When an abnormal situation is detected, the alarm mechanism is automatically triggered. The remote control operation unit allows the user to remotely control the production equipment of the oil and gas wells, and can start, stop, and adjust the equipment without on-site operation, reducing the on-site workload of operation and maintenance personnel and improving operation and maintenance efficiency. Through real-time monitoring and data analysis, enterprises can more accurately understand production needs and equipment status, thereby optimizing resource allocation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the structure of the sensor device of the present invention; Figure 2 It is a schematic diagram of the system module of the present invention. DETAILED DESCRIPTION

[0019] 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.

[0020] For technical issues that require resolution, see Figure 1-2 , the present invention provides the following technical solutions: Oil and gas well data acquisition sensing equipment based on multiphase metering, including: Multiphase flowmeter, used to measure the flow and content of oil, gas and water in real time, and monitor the pressure and temperature parameters of the fluid. The multiphase flowmeter is installed at the wellhead of the oil and gas well and the gathering and transportation pipeline, and covers all links in the production process; Pressure sensors, used to measure pressure changes in different parts of the oil well; Temperature sensors to monitor fluid temperature and well temperature; Differential pressure sensor, used to assist flow measurement, measures the pressure difference when the fluid passes through the pipeline; The data acquisition module is used to receive the oil and gas well data collected by the multiphase flow meter, the pressure sensor, the temperature sensor and the differential pressure sensor, and transmit the oil and gas well data, wherein the data acquisition unit includes: Data collector, used to receive sensor signals. The data collector integrates ADC and low-power microcontroller to perform preliminary data processing and conversion; The wireless transmission unit is used to transmit the collected data to the oil and gas well data collection intelligent system based on multiphase metering through wireless radio frequency.

[0021] In the above embodiment, through multi-type sensors such as multiphase flowmeter, pressure sensor, temperature sensor and differential pressure sensor, the real-time and accurate measurement of the three-phase flow and content of oil, gas and water in the production process of oil and gas wells is realized, and the key parameters such as pressure and temperature of the fluid are monitored at the same time, which provides a solid foundation for subsequent data analysis and production management. The data acquisition module adopts a data acquisition device with integrated ADC and low-power single-chip microcomputer, which can realize efficient data processing and conversion, and transmit data to the intelligent system through wireless radio frequency technology, reducing wiring cost and complexity.

[0022] The intelligent system for oil and gas well data acquisition based on multiphase metering is applied to the above-mentioned oil and gas well data acquisition sensing equipment based on multiphase metering, including: Data acquisition processing module, used for: Through wireless connection with the data acquisition module, the original data output by the data acquisition module can be obtained in real time, and the original data can be cleaned, denoised, and calibrated to automatically identify and eliminate abnormal values, smooth the data, and reduce noise interference; Data storage management module, used for: Select and deploy a database based on the data volume and access requirements, build a data table structure and index strategy, store real-time and historical data of oil and gas wells, provide data query and retrieval functions, and back up data regularly; Data analysis module for: Process oil and gas well data in real time, display the production status and key parameters of oil and gas wells through a visual interface, build a prediction model based on historical data and real-time data to make production forecasts, and identify abnormal situations in the production process; Monitoring and management module, used for: Real-time monitoring of the production status of oil and gas wells, including changes in flow, pressure and temperature parameters, setting alarm thresholds and rules, automatically triggering the alarm mechanism when abnormal conditions are detected, and notifying staff via SMS or email. The abnormal conditions include abnormal flow and sudden pressure changes, deploying remote control channels, establishing connections with oil and gas well production equipment, and allowing users to adjust production parameters or perform emergency shutdown operations through remote operations.

[0023] In the above embodiments, by reasonably deploying the database and data table structure, efficient storage and management of a large amount of oil and gas well data is achieved, while providing convenient data query and retrieval functions. Based on these data, real-time processing, visual display, production prediction and abnormal situation identification are carried out to provide strong support for production management, and real-time monitoring of the production status of oil and gas wells, including changes in key parameters such as flow, pressure and temperature. By setting alarm thresholds and rules, the alarm mechanism can be automatically triggered when an abnormal situation is detected, which helps to quickly respond to production anomalies and reduce losses.

[0024] In the above embodiment, the system also deploys a remote control channel to establish a connection with the oil and gas well production equipment, allowing users to adjust production parameters or perform emergency shutdown operations through remote operations, thereby improving the flexibility and response speed of production management and reducing the risks and costs of on-site operations.

[0025] Data acquisition and processing module, including: A data receiving unit is used to: The data packets from the data acquisition module are continuously monitored through the wireless network interface, the received data packets are parsed, and the oil and gas well data are extracted. The oil and gas well data includes the flow rate, content, pressure, temperature and differential pressure information of the three phases of oil, gas and water, and the parsed data are temporarily stored in the local cache.

[0026] Data pre-processing unit, used for: Perform preliminary processing on the received raw data, identify and remove duplicate data, incomplete data, and data with incorrect format, smooth the noisy data through digital filtering, synchronize the timestamps of all data, and divide the continuous data stream into multiple data segments; Exception rejection unit, used to: The oil and gas well data are calibrated according to the calibration model, and outliers in the data are identified based on the box plot method. The detected outliers are removed and replaced with adjacent values, and the outlier information of the outliers is recorded, and the outlier information includes time, type, and processing method.

[0027] In the above embodiment, the accuracy and completeness of the data are effectively improved by identifying and removing duplicate data, incomplete data and data with incorrect format. The data packets from the data acquisition module are continuously monitored through the wireless network interface, and are parsed and stored in real time, ensuring timely acquisition and processing of data, which helps to quickly respond to production changes. The calibration model and box plot method are used to identify and eliminate outliers in the data and replace them with adjacent values. At the same time, the outlier information is recorded, which not only improves the accuracy of anomaly detection, but also retains the continuity of the data and avoids analysis deviations caused by outliers.

[0028] In the above embodiment, by dividing the continuous data stream into multiple data segments, the data acquisition and processing module can manage data more effectively, optimize storage space and processing efficiency, help reduce data processing time, and improve the overall performance of the system. High-quality, pre-processed and anomaly-eliminated data provides a solid foundation for advanced data analysis. Through refined management and optimization, the stability and reliability of the entire intelligent system are improved, reducing system errors and failures caused by data quality problems, and improving the overall operating efficiency and service life of the system.

[0029] Data storage management module, including: Data storage unit for: Select a database based on the data volume and access frequency. Design field types, index strategies, and partition strategies based on business needs and data characteristics. Write pre-processed data into database tables in batches and in real time, create indexes for database tables, and back up database data regularly.

[0030] Data maintenance unit, used for: Clean up expired and invalid data, as well as redundant and duplicate data, monitor database performance, perform regular data consistency checks, handle data conflicts and concurrency issues in concurrent write scenarios, manage database user permissions and access control policies, and audit database logs.

[0031] In the above embodiment, by selecting a suitable database according to the data volume and access frequency, and designing a reasonable field type, index strategy and partition strategy, the efficiency of data storage and retrieval is improved. The delay of data access is reduced, the response speed of the system is improved, and the database data is backed up regularly to effectively prevent the risk of data loss. At the same time, the database performance is monitored and the data consistency check is performed to ensure the integrity and accuracy of the data.

[0032] In the above embodiment, the data maintenance unit automatically cleans up expired, invalid, redundant and duplicate data, reducing the burden of manual maintenance. At the same time, it can also automatically handle data conflicts and concurrency issues in concurrent writing scenarios, ensuring data consistency and providing a solid foundation for efficient data analysis and application.

[0033] Data analysis modules, including: Model building prediction unit, used to: Build a prediction model, divide historical data into training set and test set, use the training set data to train the selected algorithm, adjust the model parameters, use the test set data to evaluate the model, adjust the model according to the evaluation results, apply the trained model to real-time data, perform production predictions, and display the prediction results through a visual interface.

[0034] Anomaly detection diagnostic unit for: According to historical data and business rules, abnormal thresholds of flow, pressure and temperature parameters are set, data from the data acquisition module is received and processed in real time, and changes in each parameter are monitored. When the parameter value exceeds the set threshold, it is determined to be an abnormal situation, and the abnormal time and parameter value are recorded, and an abnormal diagnosis report is generated. The abnormal diagnosis report includes the abnormal situation, possible abnormal causes and recommended solutions.

[0035] In the above embodiment, by constructing a prediction model and using historical data for training and verification, it is possible to accurately predict the production status of oil and gas wells, help enterprises plan production in advance, and respond quickly when anomalies occur to reduce losses. At the same time, the prediction results are displayed through a visual interface, making the decision-making process more intuitive and convenient. The data from the data acquisition module is received and processed in real time, and the changes in key parameters such as flow, pressure, and temperature are monitored. Once the parameter value is monitored to exceed the set threshold, it is immediately determined to be an abnormal situation and an abnormal diagnosis report is generated, which helps to quickly discover and solve problems and prevent the problem from expanding.

[0036] In the above embodiment, the time and parameter value of the abnormality are recorded, and the possible causes of the abnormality and suggested solutions are provided, so that the staff can have a basis to rely on when handling the abnormality, reduce the cost of trial and error, and improve the processing efficiency. At the same time, it provides an important reference for subsequent troubleshooting and preventive measures. Through the introduction of the data analysis module, the intelligent system for oil and gas well data acquisition based on multiphase metering realizes the whole process of intelligence from data acquisition to data analysis, prediction and abnormality detection.

[0037] Monitoring and management module, including: Real-time monitoring unit for: The data acquisition and processing module acquires the production data of oil and gas wells in real time, displays the production status of oil and gas wells in real time through visual dashboards and charts, sets monitoring thresholds for flow, pressure and temperature parameters, continuously monitors whether flow, pressure and temperature parameters are within the normal range based on the monitoring thresholds, and records important events and data changes during the monitoring process in the monitoring log; Abnormal detection alarm unit, used for: When an abnormal situation is detected, the alarm mechanism is automatically triggered to record the abnormal details, including the abnormal type, occurrence time, and impact range. The abnormal information is sent to operation and maintenance personnel and management personnel via SMS, email, and system notification.

[0038] Remote control operating unit for: Establish a connection with the production equipment of the oil and gas well through the remote control channel, authenticate and verify the identity of the remote operation request, send control instructions to the production equipment according to user needs, realize the remote control function, and feedback the operation results to the user. The operation results include whether the operation is successful and whether the equipment status has changed. The process and results of the remote operation are recorded in the operation log.

[0039] In the above embodiment, the production status of the oil and gas wells is displayed in real time through visual dashboards and charts, so that operation and maintenance personnel and managers can understand the production situation intuitively and quickly. By monitoring thresholds to continuously monitor key parameters such as flow, pressure, and temperature, the monitoring management module can promptly detect and warn of abnormal situations, which helps to prevent equipment damage and production accidents. It can also reduce production losses through timely intervention and improve the overall safety production level. When an abnormal situation is detected, the alarm mechanism is automatically triggered, and the abnormal information is sent to the staff in a variety of ways, which shortens the response time and enables operation and maintenance personnel and managers to quickly take measures to deal with abnormal situations and reduce the risk of accidents.

[0040] In the above embodiment, the remote control operation unit allows the user to remotely control the production equipment of the oil and gas well, and can start, stop, and adjust the equipment without on-site operation, thereby reducing the on-site workload of the operation and maintenance personnel and improving the operation and maintenance efficiency. Through real-time monitoring and data analysis, the enterprise can more accurately understand the production demand and equipment status, thereby optimizing resource allocation. For example, when the production peak is predicted, the equipment configuration can be adjusted in advance, or preventive maintenance can be performed before the equipment fails, so as to reduce production interruptions and maintenance costs, providing strong support for the production management decision-making of the enterprise.

[0041] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. Oil and gas well data acquisition sensor equipment based on multiphase metering, characterized in that: include: Multiphase flowmeter, used to measure the flow and content of oil, gas and water in real time, and monitor the pressure and temperature parameters of the fluid. The multiphase flowmeter is installed at the wellhead of oil and gas wells and gathering pipelines, and covers all links in the production process; Pressure sensors, used to measure pressure changes in different parts of the oil well; Temperature sensors to monitor fluid temperature and well temperature; Differential pressure sensor, used to assist flow measurement, measures the pressure difference when the fluid passes through the pipeline; The data acquisition module is used to receive the oil and gas well data collected by the multiphase flow meter, the pressure sensor, the temperature sensor and the differential pressure sensor, and transmit the oil and gas well data, wherein the data acquisition unit includes: Data collector, used to receive sensor signals. The data collector integrates ADC and low-power microcontroller to perform preliminary data processing and conversion; The wireless transmission unit is used to transmit the collected data to the oil and gas well data collection intelligent system based on multiphase metering through wireless radio frequency.

2. An intelligent system for oil and gas well data acquisition based on multiphase metering, applied to the oil and gas well data acquisition sensor device based on multiphase metering as claimed in claim 1, characterized in that: include: Data acquisition processing module, used for: Through wireless connection with the data acquisition module, the original data output by the data acquisition module is obtained in real time, and the original data is cleaned, denoised, and calibrated, abnormal values ​​are automatically identified and eliminated, and the data is smoothed; Data storage management module, used for: Select and deploy a database based on the data volume and access requirements, build a data table structure and index strategy, store real-time and historical data of oil and gas wells, provide data query and retrieval functions, and back up data regularly; Data analysis module for: Process oil and gas well data in real time, display the production status and key parameters of oil and gas wells through a visual interface, build a prediction model based on historical data and real-time data to make production forecasts, and identify abnormal situations in the production process; Monitoring and management module, used for: Real-time monitoring of the production status of oil and gas wells, including changes in flow, pressure and temperature parameters, setting alarm thresholds and rules, automatically triggering the alarm mechanism when abnormal conditions are detected, and notifying staff via SMS or email. The abnormal conditions include abnormal flow and sudden pressure changes, deploying remote control channels, establishing connections with oil and gas well production equipment, and allowing users to adjust production parameters or perform emergency shutdown operations through remote operations.

3. The intelligent system for oil and gas well data acquisition based on multiphase metering according to claim 2, characterized in that: The data acquisition processing module comprises: A data receiving unit is used to: The data packets from the data acquisition module are continuously monitored through the wireless network interface, the received data packets are parsed, and the oil and gas well data are extracted. The oil and gas well data includes the flow rate, content, pressure, temperature and differential pressure information of the three phases of oil, gas and water, and the parsed data are temporarily stored in the local cache.

4. The intelligent system for oil and gas well data acquisition based on multiphase metering according to claim 3, characterized in that: The data acquisition processing module further includes: Data pre-processing unit, used for: Perform preliminary processing on the received raw data, identify and remove duplicate data, incomplete data, and data with incorrect format, smooth the noisy data through digital filtering, synchronize the timestamps of all data, and divide the continuous data stream into multiple data segments; Exception rejection unit, used to: The oil and gas well data are calibrated according to the calibration model, and outliers in the data are identified based on the box plot method. The detected outliers are removed and replaced with adjacent values, and the outlier information of the outliers is recorded, and the outlier information includes time, type, and processing method.

5. The intelligent system for oil and gas well data acquisition based on multiphase metering according to claim 2, characterized in that: The data storage management module includes: Data storage unit for: Select a database based on the data volume and access frequency. Design field types, index strategies, and partition strategies based on business needs and data characteristics. Write pre-processed data into database tables in batches and in real time, create indexes for database tables, and back up database data regularly.

6. The intelligent system for oil and gas well data acquisition based on multiphase metering according to claim 5, characterized in that: The data storage management module further includes: Data maintenance unit, used for: Clean up expired and invalid data, as well as redundant and duplicate data, monitor database performance, perform regular data consistency checks, handle data conflicts and concurrency issues in concurrent write scenarios, manage database user permissions and access control policies, and audit database logs.

7. The intelligent system for oil and gas well data acquisition based on multiphase metering according to claim 2, characterized in that: The data analysis module comprises: Model building prediction unit, used to: Build a prediction model, divide historical data into training set and test set, use the training set data to train the selected algorithm, adjust the model parameters, use the test set data to evaluate the model, adjust the model according to the evaluation results, apply the trained model to real-time data, perform production predictions, and display the prediction results through a visual interface.

8. The intelligent system for oil and gas well data acquisition based on multiphase metering according to claim 7, characterized in that: The data analysis module further includes: Anomaly detection diagnostic unit for: According to historical data and business rules, abnormal thresholds of flow, pressure and temperature parameters are set, data from the data acquisition module is received and processed in real time, and changes in each parameter are monitored. When the parameter value exceeds the set threshold, it is determined to be an abnormal situation, and the abnormal time and parameter value are recorded, and an abnormal diagnosis report is generated. The abnormal diagnosis report includes the abnormal situation, possible abnormal causes and recommended solutions.

9. The intelligent system for oil and gas well data acquisition based on multiphase metering according to claim 2, characterized in that: The monitoring management module includes: Real-time monitoring unit for: The data acquisition and processing module acquires the production data of oil and gas wells in real time, displays the production status of oil and gas wells in real time through visual dashboards and charts, sets monitoring thresholds for flow, pressure and temperature parameters, continuously monitors whether flow, pressure and temperature parameters are within the normal range based on the monitoring thresholds, and records important events and data changes during the monitoring process in the monitoring log; Abnormal detection alarm unit, used for: When an abnormal situation is detected, the alarm mechanism is automatically triggered and the abnormal details are recorded, including the abnormal type, occurrence time, and impact scope. The abnormal information is sent to operation and maintenance personnel and management personnel via SMS, email, and system notification.

10. The intelligent system for oil and gas well data acquisition based on multiphase metering according to claim 9, characterized in that: The monitoring management module further includes: Remote control operating unit for: Establish a connection with the production equipment of the oil and gas well through the remote control channel, authenticate and verify the identity of the remote operation request, send control instructions to the production equipment according to user needs, realize the remote control function, and feedback the operation results to the user. The operation results include whether the operation is successful and whether the equipment status has changed. The process and results of the remote operation are recorded in the operation log.

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