Offshore Polymer Flooding Optimization Using Surrogate-Based Methodology

摘要

A surrogate-based optimization methodology was employed to optimize the offshore polymer flooding process based on a three-level Box-Behnken design and response surface method. The design variables selected in this study were polymer concentration, injection rate, and duration, and the performance measure was incremental net present value (NPV). Sensitivity analysis was performed and a quadratic model equation was fitted to the samples using the least-squares method and 0.98 of R_(adj)~2 meant a good fit. Optimization was performed using the constructed model and verified by numerical simulations. The possible range of maximum incremental NPV was studied using Monte Carlo simulations. The results showed that the methodology is effective and efficient and will be used as guidance for future petroleum engineering optimization.