Abstract: A method of predicting hydrocarbon production from one or more artificial lift wells is disclosed. Measurements and/or well test data are obtained from one or more artificial lift wells representing well performance at more than one time period. A statistical model, representing well performance, is generated. Using the statistical model and the measurements and/or well test data, real-time production of the one or more artificial lift wells is predicted and a measure of confidence is generated. Potential optimization opportunities are identified for well performance based on the predicted real-time production of the one or more artificial lift wells. The optimization opportunities are outputted. Hydrocarbon production activities are modified using the optimization opportunities.

Abstract: Methods of monitoring a geometric property of a hydraulic fracture within a subsurface region, wells that perform the methods, and storage media that direct computing devices to perform the methods provided. The methods include repeatedly measuring, at a plurality of measurement times, fiber strain as a function of position along a length of an optical fiber. The optical fiber is positioned within a wellbore that extends within a subsurface region and the repeatedly measuring is performed during a change in the geometric property of the hydraulic fracture. For a given measurement time of the plurality of measurement times, the methods also include differentiating the fiber strain as the function of position to generate a strain differential as a function of position along the length of the optical fiber. The methods further include determining the geometric property of the hydraulic fracture based, at least in part, on the strain differential.

Abstract: A method of predicting hydrocarbon production from one or more artificial lift wells is disclosed. Measurements and/or well test data are obtained from one or more artificial lift wells representing well performance at more than one time period. A statistical model, representing well performance, is generated. Using the statistical model and the measurements and/or well test data, real-time production of the one or more artificial lift wells is predicted and a measure of confidence is generated. Potential optimization opportunities are identified for well performance based on the predicted real-time production of the one or more artificial lift wells. The optimization opportunities are outputted. Hydrocarbon production activities are modified using the optimization opportunities.