石油科学通报2024，Vol.9Issue(4)：637-647,11.DOI:10.3969/j.issn.2096-1693.2024.04.048
基于改进蚁群算法的海上稠油热采井钻井顺序优化
Drilling sequence optimization of offshore heavy oil thermal wells based on improved ant colony optimization algorithm
摘要
Abstract
Steam stimulation is widely applied in heavy oil production.The cost of drilling in offshore heavy oil field is high,so that the mode of drilling other wells and injecting heat into the completed wells at the same time can greatly improve the efficiency of drilling and production.However,there is a risk of steam from heat injection well leaking into the drilling well.This paper studies the risk of steam channeling in thermal production wells,and proposes an improved ant colony optimization(IACO)algorithm to solve the drilling sequence that meets the safety distance and has the shortest total drilling period.Firstly,a three-dimensional reser-voir was established to simulate the distribution of temperature and pressure fields around the well when injecting heat into the well.The results show that when injecting heat into heterogeneous reservoirs,steam is prone to break through along the high-permeability channels,and the channeling flow can exceed 90 m in 9 days.The results show that,for typical case of Bohai Oilfield,the algorithm can save 15～30 days of total drilling time compared with the manual selection method when the safety distance is set to 400～460 m.The IACO algorithm proposed in this paper can quickly and efficiently output the drilling sequence with the shortest drilling duration,which provides a quantitative method for the optimization of the drilling sequence.It is of great significance for saving drilling costs and enhancing the drilling safety of offshore heavy oil thermal recovery wells.关键词
海上稠油热采/蒸汽吞吐/非均质储层/蚁群算法/钻井顺序优化Key words
offshore heavy oil thermal well/steam stimulation/heterogeneous reservoirs/ant colony optimization algorithm/drilling sequence optimization分类
能源科技引用本文复制引用
吴俊涛,刘伟,邓金根,谭强,何奇..基于改进蚁群算法的海上稠油热采井钻井顺序优化[J].石油科学通报,2024,9(4):637-647,11.基金项目
国家自然科学基金面上项目(52074313)资助 （52074313）
