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Details of Grant 

EPSRC Reference: EP/J02080X/1
Title: Porous Media Processes and Mathematics (PM)^2
Principal Investigator: Lord, Professor G
Other Investigators:
Geiger, Professor S
Researcher Co-Investigators:
Project Partners:
Computer Modeling Group CMG Ltd Schlumberger Cambridge Research Limited
Department: S of Mathematical and Computer Sciences
Organisation: Heriot-Watt University
Scheme: Network
Starts: 28 January 2013 Ends: 27 January 2016 Value (£): 145,471
EPSRC Research Topic Classifications:
Continuum Mechanics Numerical Analysis
EPSRC Industrial Sector Classifications:
Energy
Related Grants:
Panel History:
Panel DatePanel NameOutcome
04 Jul 2012 Mathematics Prioritisation Panel Meeting July 2012 Announced
Summary on Grant Application Form
Natural and industrial porous media is key to a wide variety of traditional and emerging engineering applications, including but not limited to oil and gas extraction from geological reservoirs, carbon capture and storage, geothermal reservoir engineering, soil sciences, groundwater remediation and protection, biological engineering, food processing, fuel cells, nano-technology, construction engineering, wood processing and printing.

We are proposing the formation of a UK wide research network focussed on porous media flow which will sit at the interface between engineering, applied mathematics, applied probability and scientific computing. The overall aim of the network is to transfer techniques, models and scientific insights between engineering and mathematics, as well as promote mobility between academia and industry. Initially, the key areas of scientific research will include: large scale computational modelling, fundamental pore-scale physics, inverse problems and history matching, reservoir simulations, soil science and shallow ecosystems, theoretical biology and physiology, groundwater remediation, subsurface storage of greenhouse gases and nuclear waste, uncertainty quantification, homogenisation and multi-scale methods, visualization, numerical analysis and random field modelling.

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Further Information:  
Organisation Website: http://www.hw.ac.uk