Development of an effective completion schedule for a petroleum reservoir with strong aquifer to control water production

Abstracts A reasonable solution, to deal with oil field water problem, is minimize the amount of associated production using effective completion lengths. This work presents an method optimize wells’ lengths in reservoir a strong aquifer. The suggested technique formulated as constrained optimization problem that defines NPV objective function and set existing field/facility constraints. An algorithm translates connections number dynamic simulation model. In this approach, genetic (GA), adaptive version simulated annealing (ASA) particle swarm (PSO) hybridized polytope are applied maximize NPV. comparison given for their performances water-drive where combinatorial effects (decision variables) should be addressed. Optimizing completions leads increased period, total production, retarding breakthrough, reducing finally increasing ultimate recovery. results showed by GA, ASA PSO 11.0%, 2.40% 2.22%, respectively, related initial case. Total productions decreased 9.82%, 2.11%, 1.82% relative schedule. best performance belongs GA algorithm. Moreover, average watercut all wells through process. Besides, based on numerical simulation, closing worst high decreases improves recovery, maximum well productivity, (oil–water ratio 18.2%). Most placed layers coning can occur later (considering near-well-bore permeability) slightly far from full zone.