An analytical model to couple gas storage and transport capacity in organic matter with noncircular pores
An analytical model to couple gas storage and transport capacity in organic matter with noncircular pores
复制标题
非圆形孔隙有机质气体储运能力耦合分析模型
DOI:
10.1016/j.fuel.2020.117288
复制
发表时间:
2020-05
期刊:
影响因子:
7.4
通讯作者:
Wang Hui
中科院分区:
文献类型:
--
作者:
Sheng Guanglong;Zhao Hui;Su Yuliang;Javadpour Farzam;Wang Chenchen;Zhou Yuhui;Liu Jinghua;Wang Hui
Scanning Electro Microscope (SEM) images illustrate the variety of possible pore shape in organic matter of shale reservoirs. The size of the pores with different geometries is at nanoscale (10–100 s nm), hence the ratio of wetted surface area to the volume of pores (specific surface area, SSA) is high. For the systems with high SSA the collisions between gas molecules and pore walls become significant, therefore, fluid flow is not dominantly controlled by the bulk flow, i.e., fluid-wall surface interaction becomes important. Most shale permeability models assume circular nanopores that results in poor prediction of permeability. We present a novel analytical apparent porosity and permeability model to model gas storage and permeability in shale gas reservoirs with noncircular nanopores. The SSA and the aspect ratio of height to the width of noncircular nanopores, were both used in our model to couple gas storage and transport capacity. We validated our model with permeability values calculated from pore network simulations of five shale samples from Jianghan Basin of China. The results showed that sharp edges in nanopores could dramatically affect permeability. For examples, the noncircularity deviation of gas flow in a rectangular nanopore is more than an equivalent nanopore with elliptical cross-section. The assumption of circular cross-section nanopores in estimating apparent porosity and permeability could impose up to 55% error depending on the pore geometry.
登录
查看更多内容
影响因子:
4.2
作者:
Schmitt, Mayka;Fernandes, Celso P.;dos Santos, Viviane S. S.
通讯作者:
dos Santos, Viviane S. S.
影响因子:
--
作者:
Xiaodong Hu;Xianzhi Song;Yu Liu;Gensheng Li;Zhonghou Shen;Z. Lyu
通讯作者:
Xiaodong Hu;Xianzhi Song;Yu Liu;Gensheng Li;Zhonghou Shen;Z. Lyu
影响因子:
--
作者:
Li Linkai;Jiang Hanqiao;Li Junjian;Wu Keliu;Meng Fanle;Xu Qilu;Chen Zhangxin
通讯作者:
Chen Zhangxin
影响因子:
6.7
作者:
Wu Xiao-Jun;Ning Zheng-Fu;Cheng Zhi-Lin;Wang Qing;Qi Rong-Rong;Huang Liang;Zhang Wen-Tong
通讯作者:
Zhang Wen-Tong
影响因子:
--
作者:
Meng Meng-Meng;Silvio Baldino;S. Miska;N. Takach
通讯作者:
Meng Meng-Meng;Silvio Baldino;S. Miska;N. Takach