KIT | KIT-Bibliothek | Impressum | Datenschutz

MulT_predict - An optimised multicomponent geothermometer

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

Abstract (englisch):

For a successful geothermal reservoir exploration, an in-situ temperature estimation is essential. Since geothermometric reservoir temperature estimations using conventional solute geothermometers often entail high uncertainties, a new computational approach is proposed. The goal was to obtain high-accuracy multicomponent reservoir temperature estimations by only using standard geochemical data without the need of sophisticated gas analysis. Therefore, the new numerical tool MulT_predict is introduced. MulT_predict is a multicomponent geothermometer code with integrated sensitivity analyses to back calculate on in-situ conditions. The script is based on MATLAB, which interacts with IPhreeqc. The tool was calibrated and validated against in-situ reservoir temperature measurements in Iceland. Hence, reservoir conditions are numerically reconstructed by varying various sensitive parameters (e.g. pH value, steam loss, aluminum concentration etc.) to reduce the uncertainties of the reservoir temperature estimation. The new method led to statistically robust and precise reservoir temperature estimations.
To apply MulT_predict on a new geological site, a set of reservoir specific minerals for the Upper Rhine Graben is developed as the base of the multicomponent geothermometer. ... mehr

Volltext §
DOI: 10.5445/IR/1000125858
Veröffentlicht am 10.11.2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Geowissenschaften (AGW)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Vortrag
Publikationsdatum 04.11.2020
Sprache Englisch
Identifikator KITopen-ID: 1000125858
HGF-Programm 35.14.01 (POF III, LK 01) Effiziente Nutzung geothermisch. Energie
Veranstaltung Student Technical Congress - German Section (STC 2020), Online, 04.11.2020 – 06.11.2020
Bemerkung zur Veröffentlichung Die Veranstaltung fand wegen der Corona-Pandemie als Online-Event statt
Schlagwörter MulT_predict; multicomponent geothermometer
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page