TY - JOUR
T1 - Multi-scaled pore network modeling of gas-water flow in shale formations
AU - Wang, Xiukun
AU - Sheng, James J.
N1 - Funding Information:
This work is supported by the Science Foundation of China University of Petroleum, Beijing (No. 2462018YJRC034 and 2462018YJRC001 ) and the Foundation of State Key Laboratory of Petroleum Resources and Prospecting (No. PRP/indep-4-1814 ).
Publisher Copyright:
© 2019
PY - 2019/6
Y1 - 2019/6
N2 - Multiphase flow is commonly encountered within shale reservoirs, however, the previous studies are more focused on single phase flow. Due to the extremely low permeability of shale formations, the experimental measurements are not capable to be performed. Attempts are made by applying the techniques of digital rock analysis and pore network modeling to investigate the multiphase flow mechanisms in shale reservoirs. This work follows this way. Firstly, a stochastic pore network generation algorithm and a two-phase flow simulation method are presented. This algorithm is applied and validated in Berea sandstone. By applying the proposed algorithm, the organic and inorganic pore networks are generated for shale formations, then the multi-scaled pore network is established after upscaling the organic pores to an organic path. Finally, the gas-water flow is simulated within this established multi-scaled pore network and some analysis and discussions are conducted. The results imply that the characteristics of pore systems in shale formations pose an extreme impact on the gas-water flow mechanisms, especially the proportion of organic pores and pore-throat aspect ratio.
AB - Multiphase flow is commonly encountered within shale reservoirs, however, the previous studies are more focused on single phase flow. Due to the extremely low permeability of shale formations, the experimental measurements are not capable to be performed. Attempts are made by applying the techniques of digital rock analysis and pore network modeling to investigate the multiphase flow mechanisms in shale reservoirs. This work follows this way. Firstly, a stochastic pore network generation algorithm and a two-phase flow simulation method are presented. This algorithm is applied and validated in Berea sandstone. By applying the proposed algorithm, the organic and inorganic pore networks are generated for shale formations, then the multi-scaled pore network is established after upscaling the organic pores to an organic path. Finally, the gas-water flow is simulated within this established multi-scaled pore network and some analysis and discussions are conducted. The results imply that the characteristics of pore systems in shale formations pose an extreme impact on the gas-water flow mechanisms, especially the proportion of organic pores and pore-throat aspect ratio.
KW - Multi-scaled pore network modeling
KW - Relative permeability
KW - Shale gas
UR - http://www.scopus.com/inward/record.url?scp=85062689288&partnerID=8YFLogxK
U2 - 10.1016/j.petrol.2019.03.005
DO - 10.1016/j.petrol.2019.03.005
M3 - Article
AN - SCOPUS:85062689288
SN - 0920-4105
VL - 177
SP - 899
EP - 908
JO - Journal of Petroleum Science and Engineering
JF - Journal of Petroleum Science and Engineering
ER -