Basic Introduction:

FAN Dian is currently a Research Assistant Professor at SUSTech. He received his Ph.D. in Petroleum Engineering, from Texas Tech University, USA, in 2018. Dr. Fan’s research is focused on multi-scale theoretical and numerical simulation studies of fluids and micro-/nano-particles transport in complex subsurface geologic media. His research aims to apply to shale oil and gas exploration, geological carbon sequestration and storage, removal of micro-/nano-plastics in wastewater, sand control in the process of oil and gas production, and recovery of environmental nanoparticle tracers.

Professional Experience:

2021.08-present: Research Assistant Professor, School of Environmental Science and Technology, Southern University of Science and Technology

2024.07-2024.09：Visiting Scholar, Helmholtz Institute Erlangen-Nurnberg for Renewable Energy (IEK-11)

2021.01-2021.04: Research Fellow, Department of Chemical Engineering, University College London

2018.06-2021.01: Postdoc Research Associate, Department of Chemical Engineering, University College London

2020.05-2020.12: Teaching Assistant, Department of Chemical Engineering, University College London

2015.09-2018.05: Teaching Assistant, Department of Petroleum Engineering, Texas Tech University

Education:

2013.08-2018.05: Ph.D. in Petroleum Engineering, Texas Tech University

2009.08-2013.06: B.E. in Petroleum Engineering, Chengdu University of Technology

Synergistic Activities:

2022-2027: 1st term of the Young Committee Member of the Chemical Industry and Engineering Society of China (Process Modelling and Numerical Simulation)

Awards and Honors:

“Pengcheng Peacock Plan” Specially-Hired Talent (2023)

Research Interests:

1. Transport of Fluids and Solid Particles in Geological Porous Media

2. Multi-Scale, Multi-Physics Numerical Simulations

Selected funded projects:

1. The National Natural Science Foundation of China (42202136), Shale media deformation and their porosity and permeability evolution based on mineral granular mechanics, 2023-2025, principal investigator.

2. EU Horizon 2020 (No. 764810), Science 4 Clean Energy, 2017-2020, €9,785,730, participated

3. EU Horizon 2020 (No. 640979), ShaleXenvironmenT, 2015-2018, €3,399,202, participated

Published Works:

First/Corresponding-authored journal papers (*corresponding author)

1. Fan, D.*, Tang, Y., Wang, P. et al., 2025. Crossover Scaling of Structural and Mechanical Properties in 3D Assemblies of Non-Spherical, Frictional Particles. Communications Physics, 8(81).

2. Fan, D., Hou, H., Zeng, J., Yuan, B., Lv, Z., Chen, Y., Li, Y., Huang, S., Striolo, A. and Zhang, D., 2024. Lattice Boltzmann Method/Computational Fluid Dynamics-Discrete Element Method Applications for Transport and Packing of Non-Spherical Particles during Geo-Energy Explorations: A Review. Physics of Fluids, 36(8): 081302.

3. Fan, D.*, Chapman, E., Khan, A., Iacoviello, F., Mikutis, G., Pini, R., and Striolo, A., 2022. Anomalous Transport of Colloids in Heterogeneous Porous Media: A Multi-Scale Statistical Theory. Journal of Colloid and Interface Science, 617: 94-105.

4. Fan, D.*, Pini, R. and Striolo, A., 2021. A Seemingly Universal Particle Kinetic Distribution in Porous Media. Applied Physics Letters, 119, 134101.

5. Fan, D.*, Ettehadtavakkol, A. and Wang, W., 2020. Apparent Liquid Permeability in Mixed-Wet Shale Permeable Media. Transport in Porous Media. 134: 651-677.

6. Fan, D.*, Phan, A. and Striolo, A., 2020. Accurate Permeability Prediction in Tight Gas Rocks via Lattice Boltzmann Simulations with an Improved Boundary Condition. Journal of Natural Gas Science and Engineering, 73, 103049.

7. Wang, W., Fan, D.*, Sheng, G., Chen, Z. and Su, Y., 2019. A Review of Analytical and Semi-Analytical Fluid Flow Models for Ultra-Tight Hydrocarbon Reservoirs. Fuel. 256: 115737.

8. Fan, D. and Ettehadtavakkol, A., 2017. Analytical Model of Gas Transport in Heterogeneous Hydraulically Fractured Organic-Rich Shale Media. Fuel. 207: 625-640.

9. Fan, D. and Ettehadtavakkol, A., 2017. Semi-Analytical Modeling of Shale Gas Flow through Fractal Induced Fracture Networks with Micro-Seismic Data. Fuel. 193: 444-459.

Fan, D. and Ettehadtavakkol, A., 2016. Transient Shale Gas Flow Model. Journal of Natural Gas Science & Engineering. 33: 1353-1363.