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Optimised multicomponent geothermometer MulT_predict

Ystroem, Lars H. ORCID iD icon; Nitschke, Fabian; Kohl, Thomas

Abstract (englisch):

Geothermometry is used for reservoir temperature estimation since the 1960s. Different kind of solute, gas, and isotopic geothermometers has been evolved and further developed. We are focusing on solute geothermometery, using the multicomponent approach by Reed and Spycher (1984) and combined it with an optimisation process suggested by Nitschke et al. (2017). Therefore, IPhreeqC by Parkhurst and Appelo (2013) and Matlab were coupled. Thus, the geochemical output of IPhreeqC is numerically evaluated and optimised with Matlab. Sensitive parameters, e.g. pH-value, and aluminium concentration etc. are varied simultaneously to minimise the temperature difference between multiple mineral phases, used as geothermometer. MulT_predict with its implemented optimisation leads to more accurate temperature estimations with lesser variance of error.


Volltext §
DOI: 10.5445/IR/1000132786
Veröffentlicht am 18.05.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Geowissenschaften (AGW)
Publikationstyp Poster
Publikationsdatum 15.02.2021
Sprache Englisch
Identifikator KITopen-ID: 1000132786
HGF-Programm 38.04.04 (POF IV, LK 01) Geoenergy
Veranstaltung 12th European Geothermal PhD Days (EGPD 2021), Paris, Frankreich, 15.02.2021 – 16.02.2021
Schlagwörter MulT_predict, multicomponent geothermometer, reservoir temperature estimation
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