Modeling Fluid Flow and Transport in Porous Media by Physics-driven Simulation Approaches

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Project Description

The Digital Subsurface Flow & Transport Lab (DSFT-Lab) is a cross-discipline team led by Prof. Bicheng Yan KAUST. Currently DSFT focuses on physics-driven and data-driven (deep learning mainly) model development that can simulate multiphase flow in porous media at reservoir scale and pore scale. The goal is to explore the fundamental physics that governs the complex and coupled physics related flow and transport in porous media, and investigate its impact on subsurface fluid flow such as hydrocarbon recovery, geologic carbon sequestration, hydrogen storage and geothermal recovery etc. DSFT seeks for self-motivated, dedicated and creative STEM-majored students who wants to address challenging energy and environmental related engineering problems.
Program - Energy Resources and Petroleum Engineering
Division - Physical Sciences and Engineering
Center Affiliation - Ali I. Al-Naimi Petroleum Engineering Research Center
Field of Study - Subsurface Modeling

About the
Researcher

Bicheng Yan

Assistant Professor, Energy Resources and Petroleum Engineering

Bicheng Yan

Desired Project Deliverables

* Subsurface modeling workflow/software for reservoir or pore scale modeling; * 1 to 2 publications based on the scientific findings.

RECOMMENDED STUDENT ACADEMIC & RESEARCH BACKGROUND

Petroleum Engineering
Petroleum Engineering
Applied Mathematics
Applied Mathematics
Civil Engineering
Civil Engineering
Data Analytics
Data Analytics