Genetic Algorithm-Based Well Placement Optimization: A Review of Studies

Abstract

Well placement optimization is a crucial task in the oil and gas industry, as it can significantly impact the overall performance and economic viability of a reservoir. Genetic algorithms GAs are an effective optimization technique that can solve well placement problems. This review paper provides an overview of the literature on GA-based well placement optimization. The paper discusses the different types of GAs that have been used for well placement, as well as the different ways in which GAs have been modified to improve their performance. The paper also discusses the different applications of GAs to well placement, including the optimization of well number, location, and trajectory. The paper concludes by highlighting the advantages of using GAs for well placement optimization. GAs is able to handle complex problems with multiple objectives and constraints.