AUTONOMOUS MONITORING AND CONTROL FOR OIL AND GAS FIELDS

    公开(公告)号:US20220236707A1

    公开(公告)日:2022-07-28

    申请号:US17619341

    申请日:2020-03-16

    Abstract: A system for autonomous operation and management of oil and gas fields includes at least one autonomous vehicle. The system also includes a processor communicatively couplable to the plurality of autonomous vehicles and a non-transitory memory device including instructions that are executable by the processor to cause the processor to perform operations. The operations include receiving field analytics data of an oil and gas field and producing at least one hydrocarbon field model based on the field analytics data. Additionally, the operations include deploying the at least one hydrocarbon field model to a sensor trap appliance using the at least one autonomous vehicles and collecting well sensor data from the sensor trap appliance. Further, the operations include detecting an anomaly using the at least one hydrocarbon field model and the well sensor data and triggering an operational process based on detecting the anomaly.

    Automated Rate of Penetration Optimization for Drilling

    公开(公告)号:US20210324723A1

    公开(公告)日:2021-10-21

    申请号:US16617591

    申请日:2018-08-30

    Abstract: Systems and methods for controlling drilling operations are provided. A controller for a drilling system may provide drilling parameters such as weight-on-bit and rotation rate parameters to the drilling system, based on a machine-learned reward policy and a model-based prediction. The machine-learned reward policy may be generated during drilling operations and used to modify recommended values from the model-based prediction for subsequent drilling operations to achieve a desired rate-of-penetration.

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