Application of an improved harmony search algorithm in well placement optimization using streamline simulation
Optimal well placement is a crucial step in efﬁcient reservoir development process which signiﬁcantly affects the productivity and economical beneﬁts of an oil reservoir. However, it is a complex and challenging problem due to the different engineering, geological and economical variables involved. This leads to a very large number of potential scenarios that must be evaluated using numerical reservoir simulations. The key points in such an optimization process are using a fast function evaluation tool and development of an efﬁcient and robust optimization algorithm that can ﬁnd good solutions with a minimum required number of function evaluations. This study presents an approach that employs an Improved Harmony Search (IHS) algorithm in combination with streamline simulation to determine the optimum well locations in a reservoir. Several case studies including both synthetic and real ones have been considered, and the performance of IHS has been compared to that of some stochastic optimization algorithms including Particle Swarm Optimization (PSO), Simulated Annealing (SA), Genetic Algorithm (GA), and the classical Harmony Search (HS) algorithm. Results of the case studies demonstrate the superiority of IHS algorithm over the other mentioned algorithms in providing fast and accurate solutions. These ﬁndings are very promising as the IHS is a very simple and easy-to-implement algorithm which can be widely used in other areas of reservoir development process.