Associate Professor in Multi-Physics Modelling in Porous Media
Education & Biography
Jingsheng Ma received his BSc degree from Lanzhou University, China, in computational mathematics, MSc degree in computing from Beijing Institute of Computer and Simulation Technology in China, and PhD in Geographical Information System from Sheffield University, UK. He joined the Institute of Petroleum Engineering, Heriot-Watt University, UK, in 1997.
- Modelling of shallow compaction of fine-grained sediments in the deep-water basins.
- Flow modelling and upscaling in presence of multi-scale heterogeneous sedimentary structures and mechanic deformational features (e.g. faults, fractures, sand injection) for reservoirs and seal characterisation.
- Developing numerical methods for better simulation of coupled behaviours of fluid flow and mechanical deformation of geo-materials, for applications of well stimulation shale gas.
- Multi-scale pore-space characterisation of porous materials.
- Pore-scale lattice Boltzmann and pore network modelling of liquid and gas fluid flow in micro to nano pores for hydrocarbon recovery, including heavy oil and shale gas.
- Applications of computational intelligence in geosciences, e.g. machine learning for well-log analysis.
Jingsheng Ma’s research focuses on developing mathematical models and computational techniques for better addressing scientific and engineering problems concerning the petroleum industry and others. He has been involved in and has led several projects. His recent projects include:
- Pore-Scale Study of Gas Flows in Ultra-tight Porous Media; EPSRC; 2015-2019; PI, with Prof Zhang at Strathclyde Univ.
- Digital Core Analysis (DCA) for Challenging Oil/Gas Reservoir Rocks; Industry; 2014-2017; PI
- Heavy Oil Recovery Techniques; Industry; 2013-2014; PI
- Classification of Digital Rocks by Machine Learning to Discover Micro-to-Macro Relationships and Quantify Their Uncertainty, NERC, 2010 – 2011; PI