Drilling sequence optimization of offshore heavy oil thermal wells based on improved ant colony optimization algorithm
WU Juntao, LIU Wei, DENG Jingen, TAN Qiang, HE Qi
1 College of Petroleum Engineering, China University of Petroleum-Beijing, Beijing 102249, China 2 State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum-Beijing, Beijing 102249, China 3 CNPC Engineering Technology R&D Company Limited, Beijing 102206, China
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 reservoir 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.
Key words:
offshore heavy oil thermal well; steam stimulation; heterogeneous reservoirs; ant colony optimization algorithm; drilling sequence optimization
收稿日期: 2024-08-30
PACS:
基金资助:国家自然科学基金面上项目(52074313) 资助
通讯作者:
liuwei@cup.edu.cn
引用本文:
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. 石油科学通报, 2024, 04: 637-647 WU Juntao, LIU Wei, DENG Jingen, TAN Qiang, HE Qi. Drilling sequence optimization of offshore heavy oil thermal wells based on improved ant colony optimization algorithm. Petroleum Science Bulletin, 2024, 04: 637-647.