Optimal allocation of gas-injection rates in large fields through a gas lift network is a challenging task. Traditional gas lift optimization programs may prove inefficient or incapable of modeling gas lift optimization in extremely large networks. The key objective of the complete paper is to assess the feasibility of using the genetic algorithm (GA) technique to optimize the allocation of continuous gas lift injection rate in a network of a Middle Eastern oil field with 43 gas lift injected wells through numerical modeling and simulation studies.
GA
GA is an optimization technique that solves constrained and unconstrained optimization problems through a natural-selection process based on the concept of evolutionary biology, including the fundamental processes of selection, crossover, and mutation. Instead of considering a single point or solution, a population of solutions is designed.
