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Porous Media Processes and Mathematics (PM)^2

Reference Number
EP/J02080X/1
Title
Porous Media Processes and Mathematics (PM)^2
Status
Completed
Energy Categories
Renewable Energy Sources(Geothermal Energy)
Not Energy Related
Fossil Fuels: Oil Gas and Coal(CO2 Capture and Storage, CO2 storage)
Hydrogen and Fuel Cells(Fuel Cells)
Fossil Fuels: Oil Gas and Coal(Oil and Gas, Enhanced oil and gas production)
Research Types
Basic and strategic applied research
Science and Technology Fields
PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics)
ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences)
UKERC Cross Cutting Characterisation
Not Cross-cutting
Principal Investigator
Professor G Lord
Sch of Mathematical and Computer Science
Heriot-Watt University
Award Type
Standard
Funding Source
EPSRC
Start Date
28 January 2013
End Date
27 January 2016
Duration
36 months
Total Grant Value
£145,471
Industrial Sectors
Mathematical sciences
Region
Scotland
Programme
NC : Maths
Investigators
Principal Investigator
Professor G Lord, Sch of Mathematical and Computer Science, Heriot-Watt University
Other Investigator
Dr S Geiger-Boschung, Institute Of Petroleum Engineering, Heriot-Watt University
Industrial Collaborator
Project Contact, Computer Modeling Group CMG Ltd, Canada
Project Contact, Schlumberger Cambridge Research Ltd
Web Site
Objectives
Abstract
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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Added to Database
19/03/13