Projects
Projects: Summary of Projects by RegionProjects in Region Scotland involving iRock Technologies : EP/M021475/1 |
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| Reference Number | EP/M021475/1 | |
| Title | Pore-Scale Study of Gas Flows in Ultra-tight Porous Media | |
| Status | Completed | |
| Energy Categories | Fossil Fuels: Oil Gas and Coal(Oil and Gas, Non-conventional oil and gas production) 100%; | |
| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Metallurgy and Materials) 25%; ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 75%; |
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| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Dr Y Zhang No email address given Mechanical Engineering University of Strathclyde |
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| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 01 September 2015 | |
| End Date | 30 September 2019 | |
| Duration | 49 months | |
| Total Grant Value | £379,691 | |
| Industrial Sectors | Energy | |
| Region | Scotland | |
| Programme | Energy : Energy | |
| Investigators | Principal Investigator | Dr Y Zhang , Mechanical Engineering, University of Strathclyde (99.999%) |
| Other Investigator | Dr T Scanlon , Mechanical Engineering, University of Strathclyde (0.001%) |
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| Industrial Collaborator | Project Contact , Chevron Energy Technology Company, USA (0.000%) Project Contact , TUV NEL Ltd (0.000%) Project Contact , iRock Technologies (0.000%) |
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| Web Site | ||
| Objectives | ||
| Abstract | To enhance ultimate recovery of hydrocarbon gases from unconventional gas resources such as shales, we need to uncover the non-intuitive gas transport mechanisms in ultra-tight porous media. Exploiting our previous and recent pioneering work in modelling rarefied gas flows at micro/nano-scales and in pore-scale characterisation of reservoir rocks, we present an ambitious project to tackle this newly-emerged research challenge through developing direct numerical simulation models and techniques that work on binarised images of concerned porous materials. This work will transform the currently-adopted heuristic approaches, i.e. Darcy-like laws and pore network modelling, into those underpinned by the first principle, and enable the quantification of prediction uncertainty on gas transport associated with the former approaches. Timely support now from EPSRC will provide us crucial resources to shape this emerging research area - understanding and quantifying gas flow physics in ultra-tight porous media | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 10/11/15 | |
