Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations including: obtaining surface production data of wells in the gas production system; generating, using a well simulation module and a surface network module, predictions about a plurality of conditions in the gas production system; computing a difference between measured conditions obtained from the production data and predicted conditions obtained from the predictions about the plurality of conditions; determining, based on the computed difference, a performance deviation in the gas production system; comparing the performance deviation to a predetermined threshold value that represents an acceptable tolerance for variance in performance of the gas production system; and triggering, when the performance deviation exceeds the predetermined threshold value, a particular type of automated response comprising an action that addresses the variance in performance of the gas production system.

Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations including: obtaining production data about the well; generating a simulated average reservoir pressure at the subsurface region that includes the well; computing a difference between an average reservoir pressure obtained from the production data and the simulated average reservoir pressure; determining, based on the computed difference, a performance deviation with reference to a particular area of the subsurface region that includes the well; comparing the performance deviation to a predetermined threshold value that represents an acceptable tolerance for variance in performance of the well; and triggering, when the performance deviation exceeds the predetermined threshold value, a particular type of automated response comprising an action that addresses the variance in performance of the well.

Abstract: Methods and systems, including computer programs encoded on a computer storage medium are described for implementing early warning detection of performance deviations in gas well and reservoir surveillance operations. An example process includes obtaining production data about the well and generating predictions about conditions at a subsurface region that includes the well. The system computes a difference between measured conditions of the production data and predicted conditions at the subsurface region. A performance deviation (PD) is determined with reference to a particular area of the subsurface region that includes the well. The PD is compared to a threshold value. A particular type of automated response is triggered to address a variance in performance of the well when the PD exceeds the threshold value.

Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations including: receiving historical production data associated with a hydrocarbon well; preprocessing the historical production data to remove noise from the historical production data; using one or more machine-learning algorithms and the preprocessed historical production to train a simulation model to simulate a flow-after-flow test for the hydrocarbon well; and testing the simulation model to determine that the simulation model passes predetermined testing criteria.