Shiyuan Zhan

Dr. Shiyuan Zhan

College of Energy, Chengdu University of Technology, Chengdu 610059, China

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 August 2024 in Chemical Engineering Journal
Verified
Journal Article
Closed access
Shiyuan ZhanShiyuan Zhan
Shiyuan Zhan
JBJunyao Bao
Junyao Bao
SNShaofeng Ning
Shaofeng Ning
MZMingshan Zhang
Mingshan Zhang
JWJing Wu
Jing Wu
YLYonghui Li
Yonghui Li

11 June 2025 in Advances in Geo-Energy Research
Verified
Journal Article
Open access
PDF file
JBJunyao Bao
Junyao Bao
JDJiapei Du
Jiapei Du
Shiyuan ZhanShiyuan Zhan
Shiyuan Zhan
Lu WangLu Wang
Lu Wang
YLYongcheng Luo
Yongcheng Luo
Molecular dynamics simulation has emerged as a powerful tool to shed light on the fundamental mechanisms that govern fluid behavior across multiple phases, such as gas, liquid and solid, at the molecular-scale. In shale reservoirs, understanding nanoscale phenomena such as microscopic friction, oil-gas interactions during CO2 huff-n-puff processes, and the influence of co-solvents, is crucial for enhanced oil recovery and informing strategies for CO2 geological sequestration in shale. This paper explores the unique role of molecular dynamics simulations in revealing the microscopic mechanisms of fluid transport and enhanced recovery during CO2 injection, with particular attention to the effects of hydration film, CO2 affected areas and co-solvents. The regulatory mechanism of hydration films on the friction behavior of montmorillonite provides new insights into interfacial mechanics, with implications for the mobility of confined fluids. In tight reservoir systems, the microscopic oil recovery mechanisms of CO2 under varying sweep conditions water film thicknesses highlight the complexity of fluid displacement at the nanoscale. Furthermore, the co-injection of CO2 with selected co-solvents is shown to enhance both oil mobilization and carbon storage efficiency within shale nanopores, offering a promising pathway to improve recovery outcomes under diverse reservoir conditions. By providing a molecular-level understanding of these critical processes, this work lays the groundwork for bridging atomistic insights with field-scale applications for unconventional resources development. Document Type: Perspective Cited as: Bao, J., Du, J., Zhan, S., Wang, L., Luo, Y. A molecular perspective on the microscopic mechanisms of CO2 injection and water films in fluid transport and enhanced oil recovery. Advances in Geo-Energy Research, 2025, 16(3): 288-292. https://doi.org/10.46690/ager.2025.06.08

14 February 2025 in Colloids and Surfaces A: Physicochemical and Engineering Aspects
Verified
Journal Article
Closed access
Shiyuan ZhanShiyuan Zhan
Shiyuan Zhan
SNShaofeng Ning
Shaofeng Ning
JBJunyao Bao
Junyao Bao
JWJing Wu
Jing Wu
MZMingshan Zhang
Mingshan Zhang
YLYonghui Li
Yonghui Li

8 March 2021 in Geofluids
Verified
Journal Article
Open access
PDF file
Shiyuan ZhanShiyuan Zhan
Shiyuan Zhan
YSYuliang Su
Yuliang Su
MLMingjing Lu
Mingjing Lu
MCMingyu Cai
Mingyu Cai
JFJingang Fu
Jingang Fu
QHQi Han
Qi Han
The underlying mechanism of shale gas migration behavior is of great importance to understanding the flow behavior and the prediction of shale gas flux. The slippage of the methane molecules on the surface is generally emphasized in nanopores in most predicted methods currently. In this work, we use molecular dynamic (MD) simulations to study the methane flow behavior in organic (graphene) and inorganic (quartz) nanopores with various pore size. It is observed that the slippage is obvious only on the graphene nanopores and disappeared on the quartz surface. Compared with the traditional Navier-Stokes equation combined with the no-slip boundary, the enhancement of the gas flux is nonnegligible in the graphene nanopores and could be neglected in the quartz nanopores. In addition, the flux contribution ratios of the adsorption layer, Knudsen layer, and the bulk gas are analyzed. In quartz nanopores, the contributions of the adsorption layer and the Knudsen layer are slight when the pore size is larger than 10 nm. It is also noted that even if the Knudsen number is the same, the flow mode may be various with the effect of the pore surface type. Our work should give molecular insights into gas migration mechanisms in organic and inorganic nanopores and provide important reference to the prediction of the gas flow in various types of shale nanopores.

1 November 2021 in JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING
Verified
Journal Article
Closed access
YSYuliang Su
Yuliang Su
HWHan Wang
Han Wang
Shiyuan ZhanShiyuan Zhan
Shiyuan Zhan
WWWendong Wang
Wendong Wang
JXJilong Xu
Jilong Xu
Clarifying the mechanisms of confined fluid flow in nanoscale space and calculating the permeability and other microscopic parameters are crucial to enhance the recovery of shale oil, which have attracted great attention in recent years. We review the micro flow mechanisms and numerical methods of shale oil, and discuss the effects of the solid-liquid molecular interaction force which leads to boundary slip and viscosity/density heterogeneity on the shale oil flow behaviors. Firstly, we introduce the four analytical models of confined fluid flow in nanopores which are the region-separation model, the effective viscosity model, the apparent viscosity model and the apparent slip length model. Then, we summarize the simulation methods and the applications in the study of fluid flow in nanoporous media Among them, the direct simulation methods are the molecular dynamics simulation (MDS) method and the pore-scale lattice Boltzmann simulation method (LBM), and the indirect simulation methods are the pore network model (PNM) and the coupled direct-indirect simulation method . We discuss the advantages and disadvantages of each simulation method. Finally, on the basis of summarizing the advantages and disadvantages of research results, the future research directions are put forward.

20 April 2018 in SCIENTIA SINICA Technologica
Verified
Journal Article
Open access
YSYuliang Su
Yuliang Su
GSGuangLong SHENG
GuangLong SHENG
WWWendong Wang
Wendong Wang
Shiyuan ZhanShiyuan Zhan
Shiyuan Zhan
QZQi Zhang
Qi Zhang
YLYaJun LI
YaJun LI