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http://eprints.org/relation/isVersionOf https://researchdata.gla.ac.uk/id/document/4645 http://eprints.org/relation/isVolatileVersionOf https://researchdata.gla.ac.uk/id/document/4645 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.gla.ac.uk/id/document/4645 archive 6975 disk0/00/00/11/40 2021-06-01 10:04:25 2025-06-11 12:07:17 2021-06-01 10:04:25 data_collection show Willems Cees Cheng Chaojie Watson Sean 34051 Minto James Williams Aaron 41817 Walls David 47497 Milsch Harald Burnside Neil 25045 0000-0002-4110-2623 Westaway Robert 29227 0000-0001-5683-4192 glaresearchdata:2021-06-01-1140 pub 30304000 The large zip files associated with this dataset are available on request due to their size. Please use the 'request data' button to ask for access to these files. This dataset consists of three-dimensional images of rock samples made using x-ray computed tomography (X-CT). The rock samples were small pieces of core obtained from oil wells in SE Hungary. The rock properties are relevant to the development of a geothermal energy project in the Hungarian town of Mezőberény. Such imagery can be used for numerical simulation of flow through the rocks, to determine hydraulic properties, demonstrating that useful information on these properties can be obtained using these techniques, when the only material available is legacy fragments of core that are much too small for conventional laboratory experiments. The results will interest a wide audience, including the petrophysics community as well as geothermal practitioners. By eliminating the need for expensive bespoke coring to obtain reservoir properties, analysis of this type will contribute to reducing the capital cost of developing geothermal energy projects, thus facilitating decarbonization of global energy supply. 2021-06-01 published University of Glasgow 10.5525/gla.researchdata.1140 Mixed University of Glasgow 172593 DESTRESS Neil Burnside European Commission (EC) 691728 ENG - Systems Power & Energy TRUE English 2018 2019 http://dx.doi.org/10.3390/en14144332 article 2031-06-01 R FALSE TRUE http://eprints.gla.ac.uk/id/eprint/246707