An Integrated Sensitivity Analysis for the Basalt Specific Multicomponent Geothermometer for High Temperature Settings
Ystroem, Lars Helge
; Nitschke, Fabian; Held, Sebastian; Kohl, Thomas
; Nitschke, Fabian; Held, Sebastian; Kohl, ThomasAbstract (englisch):
For a successful geothermal reservoir exploration, an in-situ temperature estimation is essential. Since geothermometric reservoir temperature estimations often entail high uncertainties, statistical approaches are used. The focus is on the application of sensitive analyses on a basalt specific mineral set as multicomponent geothermometer to estimate the reservoir temperatures in Krafla, high-temperature geothermal field, Iceland.
| Zugehörige Institution(en) am KIT | Institut für Angewandte Geowissenschaften (AGW) KIT-Zentrum Klima und Umwelt (ZKU) |
| Publikationstyp | Proceedingsbeitrag |
| Publikationsjahr | 2020 |
| Sprache | Englisch |
| Identifikator | KITopen-ID: 1000104147 |
| HGF-Programm | 35.14.01 (POF III, LK 01) Effiziente Nutzung geothermisch. Energie |
| Erschienen in | World Geothermal Congress 2020 |
| Veranstaltung | 2020+1 World Geothermal Congress (WGC 2021), Online, 31.12.2021 |
| Vorab online veröffentlicht am | 17.09.2019 |
| Schlagwörter | MulT_predict, sensitivity analysis, multicomponent geothermometry, reservoir temperature estimation, Krafla geothermal system |
| Relationen in KITopen |