GaS_GeoT: A computer program for an effective use of newly improved gas geothermometers in predicting reliable geothermal reservoir temperatures
Abstract A geochemometric study based on a multi-criteria decision analysis was applied, for the first time, for the optimal evaluation and selection of artificial neural networks, and the prediction of geothermal reservoir temperatures. Eight new gas geothermometers (GasG1 to GasG8) were derived fr...
Main Authors: | A. Acevedo-Anicasio, E. Santoyo, D. Pérez-Zárate, Kailasa Pandarinath, M. Guevara, L. Díaz-González |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-01-01
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Series: | Geothermal Energy |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40517-020-00182-9 |
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