Underworld-GT applied to Guangdong, a tool to explore the geothermal potential of the crust

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• 作者：Steve Quenette (1) r> Yufei Xi (2) r> John Mansour (1) r> Louis Moresi (3) r> David Abramson (4) r>r>1. Monash eResearch Centre ; Monash University ; Clayton ; 3800 ; Australia r> 2. The Institute of Hydrogeology and Environmental Geology ; Chinese Academy of Geological Sciences ; Shijiazhuang ; 050061 ; China r> 3. School of Earth Sciences ; The University of Melbourne ; Melbourne ; 3010 ; Australia r> 4. Research Computing Centre ; The University of Queensland ; St Lucia ; 4072 ; Australia r>
• 关键词：Underworld ; GT ; geothermal potential ; computational modelling approach ; Guangdong
• 刊名：Journal of Earth Science
• 出版年：2015
• 出版时间：February 2015
• 年：2015
• 卷：26
• 期：1
• 页码：78-88
• 全文大小：3,117 KB
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• 刊物主题：Earth Sciences, general; Geotechnical Engineering & Applied Earth Sciences; Biogeosciences; Geochemistry; Geology;
• 出版者：Springer Berlin Heidelberg
• ISSN：1867-111X

文摘

Geothermal energy potential is usually discussed in the context of conventional or engineered systems and at the scale of an individual reservoir. Whereas exploration for conventional reservoirs has been relatively easy, with expressions of resource found close to or even at the surface, exploration for non-conventional systems relies on temperature inherently increasing with depth and searching for favourable geological environments that maximise this increase. To utilitise the information we do have, we often assimilate available exploration data with models that capture the physics of the dominant underlying processes. Here, we discuss computational modelling approaches to exploration at a regional or crust scale, with application to geothermal reservoirs within basins or systems of basins. Target reservoirs have (at least) appropriate temperature, permeability and are at accessible depths. We discuss the software development approach that leads to effective use of the tool Underworld. We explore its role in the process of modelling, understanding computational error, importing and exporting geological knowledge as applied to the geological system underpinning the Guangdong Province, China.