Oil Field Optimization Using Particle Swarm Optimization

This Oil field optimization is the biggest challenge for the oil field operators considering the global oil price decline. There are multiple traditional mathematical algorithms to implement the same. This paper proposes derivative free Particle Swarm Optimization algorithm (PSO) for the oil field optimization. A lot of work has been done in this discipline where multiple optimization methods were used [9], [10]. These optimization techniques are based on specific objectives and constraints. We propose a PSO based algorithm to maximize oil production in an oil field. In the procedure, we address the usage of PSO [1] for well production forecast. We discuss and compare the oil rates of the wells measured as actuals, estimated and PSO forecasted. With that comparisons, field operator can take timely decisions for the operational objectives.