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Drilling sequence optimization model and its solution method for offshore cluster wells
CAO Xiangfeng1,2, GUAN Zhichuan1, SHI Yucai1, XUE Lei1, ZHANG Xin3
(1.School of Petroleum Engineering in China University of Petroleum, Qingdao 266580, China;2.Drilling Technology Research Institute, Shengli Petroleum Engineering Company Limited, Dongying 257017, China;3.CNOOC Safety Technology Service Company Limited, Tianjin 300452, China)
Abstract:
Due to more wells and small wellhead space of offshore cluster wells, optimizing drilling consequence is helpful for anti-collision and batch drilling. Considering the anti-collision and the requirements of batch drilling, the wellbore separation factor was selected as the evaluation index of the wellbore collision risk assessment, and the minimum total length of anti-collision intervals of the whole cluster was selected as the optimal index of drilling consequence optimization to establish a mathematical drilling consequence optimization model and a genetic algorithm for offshore cluster wells. Also a living example was solved and discussed. The results show that it is feasible to select the minimum total length of anti-collision intervals as the optimal index to establish the drilling consequence optimization model. The drilling consequence optimization method can satisfy the requirements of anti-collision and batch drilling for offshore cluster wells.
Key words:  offshore cluster wells  drilling sequence  optimization model  anti-collision  batch drilling  genetic algorithm