Intelligent systems application in candidate selection and treatment of gas storage wells

A series of neural networks and genetic algorithm routines have been used in an integrated and hybrid manner to identify the candidate wells for stimulation in a gas storage field. The intelligent system not only is capable of identifying the candidate wells, but it also recommends whether the well should be chemically treated or hydraulically fractured. Upon the recommendation of the type of the treatment, the intelligent system proposes a recipe for the treatment and forecasts the potential gains that can be expected once the proposed treatment is completed.