Abstract: A machine learning model is trained to facilitate determination of transient inflow performance relationship for a reservoir. A type reservoir model for the reservoir is developed and run multiple times with different input parameters to generate multiple production simulations for the reservoir. The input parameters and the results of the multiple production simulations for the reservoir are used to train a machine learning model. The trained machine learning model facilitates determination of transient inflow performance relationship for the reservoir by providing time-series prediction of average pressure, production rate, and absolute open flow of the reservoir.

Abstract: A system, software program, and method to evaluate the performance of a well in a subsurface reservoir are disclosed. A new well module is used to evaluate new wells to be placed in fluid communication with the subsurface reservoir. An existing well module is used to evaluate existing wells that are in fluid communication with the subsurface reservoir. Wells can be evaluated to calculate performance characteristics, optimize performance, resolve any associated performance issues, or a combination thereof. A well screening module is used to quickly calculate properties of a well. A visual display is used to display outputs from the new well module, the existing well module, or the well screening module.