Imaging two-phase fluid distributions under different wettability states and measuring the contact angles in situ.
Dynamic imaging and numerical simulation of reactive transport through porous media.
Quantification of connectivity of non-wetting phase ganglia in (quasi) steady-state two-phase flow
Direct simulation of two-phase flow through porous media at at small scales
The Imperial College Consortium on Pore-Scale Modelling and Imaging uses innovative methods to image rock samples at micron resolution, and the fluids within the pore spaces, at reservoir conditions of temperature and pressure. These images are analysed in combination with averaged measurements of pressure differential to obtain both a pore-scale understanding of displacement processes as well as averaged properties, such as relative permeability, curvatures, contact angles, interfacial areas, connectivity and capillary pressure. The second main strand of our research is to develop a suite of modelling tools – including direct simulation and pore network modelling – to interpret and predict our results, and to explore behaviour outside the range of conditions studied experimentally. We study multiphase flow in porous media, the effects of wettability and reactive transport.
- Micro CT images and networks
- Software
- Meetings and presentations
- Reports and proposals
- PhD theses
- Publications
Deliverables
- Access to all software developed.
- Six-monthly project meetings.
- Copies of all preprints and theses.
Current group members
Martin Blunt, Professor of Flow in Porous Media – overall supervision and theories of multiphase flow in porous media
Branko Bijeljic Principal Research Fellow – multiphase flow and reactive transport
Rukuan Chai, Post-doctoral researcher – imaging and analysis of carbon dioxide storage
Linqi Zhu, Post-doctoral researcher – AI for flow imaging and modeling in porous media
Hussein Alzahrani, completed PhD student – surfactant flooding
Ademola Adebimpe, 4th year PhD student – pore-scale modelling of Ostwald ripening
Jack Ma, 4th year PhD student – application of machine learning to pore-scale modelling
Waleed Dokhon, 3rd Year PhD student – experimental studies of hydrogen storage
Ahmed Alzaabi, 3rd Year PhD student – comparison of nitrogen, carbon dioxide and hydrogen storage
Anfal Al Zarafi, 3rd Year PhD student – carbon dioxide storage in reservoir carbonates
Olatunbosun Adedipe, 3rd year PhD student – reactive transport and cement dissolution
Ibrahim Alobaidan, 3rd year PhD student – modelling and design of hydrogen storage
Qianqian Ma, 3rd year PhD student – experimental studies of reactive transport
Yuxi Liang, 2nd year PhD student – pore-scale modelling of salt precipitation
Sasha Karabasova, 2nd year PhD student – pore-scale modelling of rate effects
Mohammed Bello, 2nd year PhD student – wettability effects in gas storage
Oranan Ariyarit, 1st year PhD student – carbon dioxide storage in depleted oilfields
Zhi Zheng, 1st year PhD student – three-phase flow in porous media
Yuxin Cheng, 1st year PhD student – reactive transport in multiphase flow
Rui Zhang, visiting PhD student – applications of machine learning
Jinlei Wang, visiting PhD student – simulations of reactive transport
Also a collaboration with Zheijang University in China:
Qingyang (Lewis) Lin, Professor, Zhejiang University, China – multiphase flow
Mingliang Qu, 4rd year PhD student Zhejiang University, China – multiphysics modelling
Funding
Funding from a consortium of companies is requested at a level of £50,000 per year. The Consortium at present has support from the following companies:
