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The Study of Shale Energy: Perspective from Molecular Dynamics (MD)
Jie Liu1, Tao Zhang1,*, Shuyu Sun1,*
1 Physical Science and Engineering Division (PSE), Computational Transport Phenomena Laboratory, King Abdullah
University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
* Corresponding Authors: Tao Zhang, Shuyu Sun. Email: ,
The International Conference on Computational & Experimental Engineering and Sciences 2023, 26(3), 1-1. https://doi.org/10.32604/icces.2023.09058
Abstract
In the last decades, the successful development of hydrofracture has paved the way to replace conventional
energy with shale energy, such as shale oil and shale gas. However, shale energy always exists in very tight
rock, which has extremely low porosity and permeability, proposing a high requirement for experimental
facilities. The rise of molecular dynamics avoids the physical limitation handily, and it can provide a better
understanding at the level of mechanism. In our studies, the MD method is used on the adsorption and
transport behaviors of shale gas and oil in kerogen nanopores. Regarding the heterogeneous spatial
distribution of shale energy in the equilibrium state, the relevant potential of the mean force (PMF) and
potential energy surface (PES) are presented to address the explanation of interactive mechanisms
dominating corresponding behaviors, such as the interaction between the light and heavy components in
shale oil, and the competitive adsorption in shale gas mixed with water and carbon dioxide molecules. The
dynamics behaviors are analyzed from different aspects, where the effect of branch chains of kerogen is also
taken into consideration. The results show that the adsorbed layer should be an intermediate state between
shale fluid and shale nanopores, and it also affects a lot on the slip effect if it is still regarded as the fluid
phase. An algorithm is developed for the multi-scale problems from the MD to the MC methods. The shale
fluid always presents different states during the adsorption and transport processes, suggesting that these
states can be predicted by the MC method as long as the accurate probability transition matrix is identified.
Our algorithm carries out this problem base on a simplified toy model and addresses the multi-scale
simulations from the special and temporal coarsening methods.
Cite This Article
APA Style
Liu, J., Zhang, T., Sun, S. (2023). The study of shale energy: perspective from molecular dynamics (md). The International Conference on Computational & Experimental Engineering and Sciences, 26(3), 1-1. https://doi.org/10.32604/icces.2023.09058
Vancouver Style
Liu J, Zhang T, Sun S. The study of shale energy: perspective from molecular dynamics (md). Int Conf Comput Exp Eng Sciences . 2023;26(3):1-1 https://doi.org/10.32604/icces.2023.09058
IEEE Style
J. Liu, T. Zhang, and S. Sun "The Study of Shale Energy: Perspective from Molecular Dynamics (MD)," Int. Conf. Comput. Exp. Eng. Sciences , vol. 26, no. 3, pp. 1-1. 2023. https://doi.org/10.32604/icces.2023.09058