Abstract: Aiming at the problems of difficult oilfield exploitation and low economic efficiency in China, we established a multiobjective oilfield exploitation optimization model with profit maximization as the optimization index and annual oilincreasing target, liquid addition target and injection target. Dualpopulation cooperative multiobjective particle swarm optimization algorithm was used to solve the optimization model. The algorithm expanded the search space by the dualpopulation coevolution strategy, improved the global search ability of the algorithm, and combined Lévy flight to ensure the diversity of the population and enhance the convergence efficiency of the algorithm. The experimental results show that the proposed algorithm can effectively solve the oilfield exploitation optimization model, and can optimize the results satisfying the target and constraints.

Key words: dualpopulation, particle swarm optimization algorithm, multiobjective optimization, Lévy flight, evolutionary strategy