Research on an Optimization Method for Injection-Production Parameters Based on an Improved Particle Swarm Optimization Algorithm

The optimization of injection–production parameters is an important step in the design gas injection development schemes, but there are many influencing factors and they difficult to determine. To solve this problem, paper optimizes injection-production by combining improved particle swarm algorithm study relationship between net present value. In process parameter optimization, has shortcomings, such as being prone fall into local extreme points slow convergence speed. Curve adaptive simulated annealing algorithms proposed further improve ability algorithm. Taking Tarim oil field example, different stages, production time, volume flowing bottom hole pressure were used input variables, optimal value was taken goal. optimized improving Compared with algorithm, scheme increased about 3.3%.