Petroleum Science >2010,??Issue 2:??232-238 DOI: https://doi.org/10.1007/s12182-010-0027-7
Optimization of perforation distribution for horizontal wells based on genetic algorithms Open?Access
文章信息
作者：Wang Zhiming,Wei Jianguang,Zhang Jian,Gong Bin and Yan Haiyun
作者單位：
School of Petroleum Engineering, China University of Petroleum, Beijing 102249, China;School of Petroleum Engineering, China University of Petroleum, Beijing 102249, China;School of Petroleum Engineering, China University of Petroleum, Beijing 102249, China; China United Coalbed Methane Co., Ltd., Beijing 100011, China;Faculty of Engineering, Peking University, Beijing 100084, China;School of Petroleum Engineering, China University of Petroleum, Beijing 102249, China
投稿時(shí)間：2008-11-18
引用方式：Wang, Z., Wei, J., Zhang, J. et al. Pet. Sci. (2010) 7: 232. https://doi.org/10.1007/s12182-010-0027-7
文章摘要
Early water breakthrough and a rapid increase in water cut are always observed in highpermeability completion intervals when perforations are uniformly distributed in the wellbore in heterogeneous reservoirs. Optimization of perforating parameters in partitioned sections in horizontal intervals helps homogenize the inflow from the reservoir and thus is critically important for enhanced oil recovery. This paper derives a coupled reservoir-wellbore flow model based on inflow controlling theory. Genetic algorithms are applied to solving the model as they excel in obtaining the global optimum of discrete functions. The optimized perforating strategy applies a low perforation density in highpermeability intervals and a high perforation density in low-permeability intervals. As a result, the inflow profile is homogenized and idealized.
關(guān)鍵詞
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Well completion, perforation optimization, genetic algorithms, partition, horizontal well