A novel tool for designing well placements by combination of modified genetic algorithm and artificial neural network

Reservoir modeling cases of oil and gas fields were used to test the proposed method, with the intention of showing the rapidness of finding the well locations, and as an additional output, this approach could yield a higher recovery than the previous technique, overall. The oil field is for cases in which multiple wells penetrate multi-reservoirs typically and penetrate selected reservoirs in test cases. However, the gas field application is for the case of horizontal well placements in which the direction and length are the optimized parameters, which are optimized by employing an Artificial Neural Network (ANN) method for the length optimization after having the best direction obtained from the Genetic Algorithm (GA) method. The proposed method can give hydrocarbon recovery results in a much faster way and even better values than the conventional method.