Autonomous monitoring and control for oil and gas fields

A method comprising:

• traversing, by an autonomous vehicle, at least a portion of an oil and gas field containing one or more wells;
• receiving, by a wireless gateway positioned within the oil and gas field, sensor data from the one or more wells;
• collecting, by a plurality of sensor trap appliances positioned within the oil and gas field, the sensor data from the wireless gateway;
• aggregating the sensor data at the plurality of sensor trap appliances;
• wirelessly transmitting, by the plurality of sensor trap appliances, the aggregated sensor data to the autonomous vehicle;
• receiving, by a processor of an edge computing system located at the oil and gas field, the aggregated sensor data from the autonomous vehicle;
• generating, by the processor, at least one hydrocarbon field model based on the aggregated sensor data, the at least one hydrocarbon field model including an anomaly detection model;
• deploying the anomaly detection model to the plurality of sensor trap appliances using the autonomous vehicle;
• determining, by the processor, that an anomaly exists at the one or more wells by running the anomaly detection model on the aggregated sensor data;
• and
• in response to determining that an anomaly exists at the one or more wells, triggering an operational process.

A non-transitory computer-readable medium comprising program code that is executable by a processing device for causing the processing device to:

• receive, by a wireless gateway positionable within an oil and gas field, sensor data from one or more wells of the oil and gas field;
• collect, by a plurality of sensor trap appliances positionable within the oil and gas field, the sensor data from the wireless gateway;
• aggregate the sensor data at the plurality of sensor trap appliances;
• wirelessly transmit, by the plurality of sensor trap appliances, the aggregated sensor data to an autonomous vehicle configured to traverse at least a portion of the oil and gas field;
• receive, by an edge computing system locatable at the oil and gas field, the aggregated sensor data from the autonomous vehicle;
• produce, by the edge computing system, at least one hydrocarbon field model based on the aggregated sensor data, the at least one hydrocarbon field model including an anomaly detection model;
• deploy the anomaly detection model to the plurality of sensor trap appliances using the autonomous vehicle;
• determine, by the edge computing system, that an anomaly exists at the one or more wells by running the anomaly detection model on the aggregated sensor data;
• and
• in response to determining that an anomaly exists at the one or more wells, triggering an operational process.