Well placement optimization for offshore oilfield based on Theil index and differential evolution algorithm

Journal of Petroleum Exploration and Production Technology

Wensheng Zhou¹  Chen Liu¹  Sen Wang²  Xianmin Zhang²  Hongwei Chen²  Qihong Feng² 

[1] CNOOC Research Institute;School of Petroleum Engineering, China University of Petroleum (East China);

关键词: Well placement;    Optimization model;    Offshore oilfield;    Theil index;    Differential evolution algorithm;   

DOI  :  10.1007/s13202-017-0403-6

来源: DOAJ

【 摘 要 】

Abstract Proper well placement should match the heterogeneity of reservoir and development schedule, in which case the displacement is balanced. A balanced displacement process can achieve a good development performance of reservoir. Present parameters to evaluate the displacement balanced degree are not fit for high water-cut oilfields and need a specific reservoir simulator. In this work, a well placement optimization method for offshore oilfield is established. A displacement balanced degree evaluation method is proposed based on Theil index. By using minimum Theil index as the objective function, well placement optimization model for offshore oilfield is built. In this model, constraints about the available infilling scope and minimum inter-well distance are considered to find the realizable optimal location. This optimization model is solved by a derivative-free optimization algorithm, differential evolution algorithm. This method is applied and validated in a semisynthetic offshore oilfield to find optimal well locations. Results demonstrate that this proposed method can find the optimal well placement for offshore oilfield to achieve a more balanced displacement and a higher oil recovery.

【 授权许可】

Unknown