Determination of oil well production performance using artificial neural network (ANN) linked to the particle swarm optimization (PSO) tool

摘要: Abstract Greater complexity is involved in the transient pressure analysis of horizontal oil wells contrast to vertical wells, as are considered entirely and parallel with top underneath boundaries reserve. Therefore, there an essential need estimate productivity accurately examine effectiveness a well terms technical economic prospects. In this work, novel rigorous methods based on two different types intelligent approaches including artificial neural network (ANN) linked particle swarm optimization (PSO) tool developed precisely forecast under pseudo-steady-state conditions. It was found that very good match between modeling output real data taken from literature, so low average absolute error percentage attained (e.g.,