Oil field management system and method

Abstract

The invention relates to an oil field management system. The oil-field management system comprises an oil well management module and a cloud-end management module, wherein the oil well management module is abstracted into corresponding Web services, Web services of single oil well are combined to form an interoperation model of the single oil well; the interoperation model comprises a data acquisition unit for acquiring oil well data, a data transmission unit for storing and transmitting the oil-well data to a cloud-end management module and updating a local algorithm library according to an optimized control strategy, and a control unit for adjusting a production strategy of the oil well in real time according to the updated local algorithm library; and the cloud-end management module comprises a data management unit for receiving and storing the oil-well data sent from the interoperation model, and a strategy computing unit for calculating an optimization strategy of the oil well according to the received oil well data and sending the optimization strategy to the interoperation model. According to the oil field management system disclosed by the application, the purposes of controlling the oil well production and adjusting the oil-recovery strategy can be achieved and the implementation is simple and efficient.

Description

technical field [0001] The invention relates to an oilfield management system and method, belonging to the field of intelligent manufacturing control. Background technique [0002] With the production process of the oil well, factors such as the wear and tear of the pumping unit equipment, failures, changes in geological conditions, and the impact of real-time water injection on the oil production status will continue to affect the oil production process. In the rough mining model. Due to the characteristics of oil development methods, managers cannot know the real-time status of underground equipment in real time. Therefore, after a period of time after the pumping well fails, the fault information can be discovered by the managers through the change of liquid production volume, and the staff needs to manually The accurate real-time status of the oil well can be known only through the monitoring of the oil well; or the change of the underground condition can be speculated ...

AI Technical Summary

Problems solved by technology

And this kind of working mode has a lot of experience dependence on the staff of the oil well. If the oil production strategy of the oil well is changed at the wrong time, it will take a period of inspection to find that the new strategy does not meet the current production status. Such a situation often leads to low oil recovery efficiency, which reduces production capacity and wastes a lot of manpower and material resources.

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