WETTABILITY ANALYSIS IN SHALE ORGANIC PORES AT THE NANOSCALE

被引:0
|
作者
Liu J. [1 ]
Chen Y. [2 ]
Zhang T. [1 ,3 ]
Sun S. [1 ]
机构
[1] Physical Science and Engineering Division, King Abdullah University of Science and Technology, Jeddah
[2] Institute of Geophysics and Geomatics, China University of Geosciences (Wuhan), Wuhan
[3] School of Mathematics, Sichuan University, Chengdu
关键词
molecular dynamics; shale gas; shale nanopores; water; wettability;
D O I
10.6052/0459-1879-23-140
中图分类号
学科分类号
摘要
In view of the problems that wettability is difficult to distinguish in shale nanoscale organic matter pores and the organic matter model cannot truly characterize the pore properties of reservoirs, molecular dynamics research on wettability in shale gas nanoscale pores based on real kerogen organic matter model is proposed. The simulation of smooth and rough graphene ideal models as well as the actual organic matter model of kerogen are built, and wetting behavior characteristics in kerogen pores are analyzed by using the model visualization, the distribution of the density of space, and the analysis of potential energy. There is also an investigation of the effects of temperature, the size of the pores, and the size of the liquid bridge on the wetting condition. Since the traditional organic matter model is based on ideal assumptions, it is difficult to accurately describe the wetting behavior of water in graphene models. As a result of the complex molecular structure and various element types, the kerogen model is more realistic in characterization of wettability of water phase in the organic pore. The water phase in the organic nanopores presents two types of regions: high density region and low density region. Water molecules in the low density region concentrates on the gas-liquid phase interface, where the hydrogen bond interaction is weaker compared with that in the water bulk phase, indicating that this part of molecules are able to diffuse into the gas phase. In addition, the diffused water molecules can also be easily trapped by the kerogen matrix due to its strong attractive interaction. Afterwards, the water molecules will adsorb on the kerogen matrix, presenting a fake wetting condition from the visualization. However, the water phase in the high density region shows the presence of non-wetting condition, which is more realistic for water in the organic pores. © 2023 Chinese Journal of Theoretical and Applied Mechanics Press. All rights reserved.
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页码:1800 / 1808
页数:8
相关论文
共 38 条
  • [1] Wu Keliu, Li Xiangfang, Chen Zhangxing, A model for gas transport through nanopores of shale gas reservoirs, Acta Petrolei Sinica, 36, 7, pp. 837-848, (2015)
  • [2] Yao Jun, Sun Hai, Fan Dongyan, Et al., Transport mechanisms and numerical simulation of shale gas reservoirs, Journal of China University of Petroleum (Natural Science), 1, pp. 91-98, (2013)
  • [3] Sun S, Zhang T., Reservoir Simulations: Machine Learning and Modeling, (2020)
  • [4] Yang Y, Liu F, Yao J, Et al., Multi-scale reconstruction of porous media from low-resolution core images using conditional generative adversarial networks, Gas Science and Engineering, 99, (2022)
  • [5] Yang Y, Yang H, Tao L, Et al., Microscopic determination of remaining oil distribution in sandstones with different permeability scales using computed tomography scanning, Journal of Energy Resources Technology, 141, 9, (2019)
  • [6] Cai Shaobin, Yang Yongfei, Liu Jie, Pore-scale simulation of multiphase flow considering thermohydro-mechanical coupling effect in porous media, Chinese Journal of Theoretical and Applied Mechanics, 53, 8, pp. 2225-2234, (2021)
  • [7] Feng X, Chen MH, Wu Y, Et al., A fully explicit and unconditionally energy-stable scheme for Peng-Robinson VT flash calculation based on dynamic modeling, Journal of Computational Physics, 463, (2022)
  • [8] Feng X, Qiao Z, Sun S, Et al., An energy-stable smoothed particle hydrodynamics discretization of the Navier-Stokes-Cahn-Hilliard model for incompressible two-phase flows, Journal of Computational Physics, 479, (2023)
  • [9] He Yingjie, Yang Yang, Zhang Tingshan, Et al., Molecular simulation of shale gas adsorption in graphite slit-pores, Lithologic Reservoirs, 28, 6, pp. 88-94, (2016)
  • [10] Cui R, Hassanizadeh SM, Sun S., Pore-network modeling of flow in shale nanopores: Network structure, flow principles, and computational algorithms, Earth-Science Reviews, 234, (2022)