Numerical simulation of hydrocarbon migration in tight reservoir based on Artificial Immune Ant Colony Algorithm: A case of the Chang 8 1 reservoir of the Triassic Yanchang Formation in the Huaqing area, Ordos Basin, China
作者: Tao WangShaoqun DongShenghe WuHuaimin XuPengfei Hou
作者单位: 1College of Geoscience, China University of Petroleum (Beijing), Beijing, 102249, China
2State Key Laboratory of Petroleum Resources and Prospecting, Beijing, 102249, China
3PetroChina Research Institute of Petroleum Exploration & Development, Beijing, 100083, China
4Chevron Center of Research Excellence, Colorado School of Mines, Golden, CO, 80401, USA
刊名: Marine and Petroleum Geology, 2016, Vol.78 , pp.17-29
来源数据库: Elsevier Journal
DOI: 10.1016/j.marpetgeo.2016.09.003
关键词: Numerical simulation methodHydrocarbon migrationTight reservoirArtificial Immune Ant Colony Algorithm
英文摘要: Abstract(#br)The hydrocarbon migration in tight reservoirs is a complex process, the fluid flow patterns of which are notably different from those of conventional reservoirs. Therefore, specific mathematical models are needed to simulate the secondary hydrocarbon migrations. This study presents a numerical simulation method based on Artificial Immune Ant Colony Algorithm (AIACA) to simulate the secondary hydrocarbon migrations in tight reservoirs. It consists of three core parts: (1) the release modes of artificial ants based on the intensity of hydrocarbon generation; (2) the wandering patterns of artificial ants under the control of the dynamic field and the distribution of pheromones; (3) the updating modes of pheromones based on the changes in reservoir wettability. The simulation of...
全文获取路径: Elsevier  (合作)
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影响因子:2.111 (2012)

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