Abstract: Methods and systems for selecting stimulation candidates in a liquid disposal network of a plurality of wells are disclosed. The method includes obtaining a base disposal pressure and a base injectivity index for each well. The method further includes developing, using a computer processor, a calibrated disposal simulation model for the liquid disposal network, wherein the calibrated disposal simulation model is based, at least, in part, on the base disposal pressure and the base injectivity index. The method still further includes determining, using the computer processor, a predicted disposal pressure and a predicted injectivity index for each well, using a sensitivity analysis of the calibrated disposal simulation model and ranking, using the computer processor, the plurality of wells based, at least in part, on the predicted disposal pressure and the predicted injectivity index for each well.

Abstract: Calibrated network models for oil production systems are executed using a set of production metrics for a given well. An execution run is initially performed for the given well using a inputs corresponding to a specified time period. Multiple execution runs are performed, iterating on productivity index data for the specified time period, until a simulated production rate converges to a historical production rate corresponding. The productivity index value for the given well at the specified time period is determined based on the converged simulated production rate. The productivity index value represents the rate test conditions at the specified time period. The executing and determining are repeated for additional points in time for the given well to determine productivity index values representing the rate test conditions at respective ones of the additional points in time. A productivity index profile providing productivity index values as a function of time is generated.