A Comparison Between Two Evolutionary Optimization Algorithms in the Performance of the Pressure Maintenance Process in a Multi Layer Reservoir Model

Abstract

In this work, the goal is to find the optimum working point for intelligent wells that is equipped with down-hole chokes and producing from a multi-layer reservoir under pressure maintenance process. Two evolutionary optimization algorithms are used and results are compared from different points of view. Therefore, the differential evolution technique and genetic algorithm has been used in conjugation with a reservoir simulator. The overall optimization technique is applied to heterogeneous example problems involving smart and multi segment wells. Improvement of predicted performance, which is as high as 7% in one case is demonstrated for all of the examples studied.

Keywords:

• differential evolution algorithm
• genetic algorithm
• intelligent well
• multi layer reservoir
• multisegment well