TY - JOUR
T1 - Numerical simulation of hydrocarbon migration in tight reservoir based on Artificial Immune Ant Colony Algorithm
T2 - A case of the Chang 81 reservoir of the Triassic Yanchang Formation in the Huaqing area, Ordos Basin, China
AU - Wang, Tao
AU - Dong, Shaoqun
AU - Wu, Shenghe
AU - Xu, Huaimin
AU - Hou, Pengfei
N1 - Publisher Copyright:
© 2016 Elsevier Ltd
PY - 2016/12/1
Y1 - 2016/12/1
N2 - 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 secondary migration can be realized by the observing the dynamic movements and accumulations of the artificial ants. The method has been tested in the Chang 81 tight sandstone reservoir, which is part of the Triassic Yanchang Formation in the Huaqing Area, Ordos Basin in China, and proved to be successful in matching the current data in exploration and development.
AB - 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 secondary migration can be realized by the observing the dynamic movements and accumulations of the artificial ants. The method has been tested in the Chang 81 tight sandstone reservoir, which is part of the Triassic Yanchang Formation in the Huaqing Area, Ordos Basin in China, and proved to be successful in matching the current data in exploration and development.
KW - Artificial Immune Ant Colony Algorithm
KW - Hydrocarbon migration
KW - Numerical simulation method
KW - Tight reservoir
UR - http://www.scopus.com/inward/record.url?scp=84988026237&partnerID=8YFLogxK
U2 - 10.1016/j.marpetgeo.2016.09.003
DO - 10.1016/j.marpetgeo.2016.09.003
M3 - Article
AN - SCOPUS:84988026237
SN - 0264-8172
VL - 78
SP - 17
EP - 29
JO - Marine and Petroleum Geology
JF - Marine and Petroleum Geology
ER -