What is it about?
GaS_GeoT is a developed computer program designed to predict geothermal reservoir temperatures using eight advanced gas geothermometers (GasG1 to GasG8). These geothermometers, derived through an innovative study combining artificial neural networks and multi-criteria decision analysis, offer improved efficiency in estimating temperatures in both liquid-dominated and vapor-dominated geothermal reservoirs. The program provides accurate and reliable predictions, contributing significantly to geothermal exploration and exploitation.
Featured Image
Photo by Mark Kuiper on Unsplash
Why is it important?
Geothermal energy is a key source of renewable energy, and accurate temperature prediction is essential for the efficient development and management of geothermal resources. Traditional geothermometers have limitations, particularly in handling complex gas-phase compositions. GaS_GeoT enhances the reliability and precision of geothermal reservoir temperature predictions, enabling better decision-making in geothermal energy projects. This program provides an accessible, practical tool for both researchers and industry professionals involved in geothermal studies.
Perspectives
Future advancements could involve integrating additional data sources or refining the machine learning models to handle larger and more diverse datasets, further improving prediction capabilities for geothermal energy management and exploration.
Lorena Díaz-González
Universidad Autonoma del Estado de Morelos
Read the Original
This page is a summary of: GaS_GeoT: A computer program for an effective use of newly improved gas geothermometers in predicting reliable geothermal reservoir temperatures, Geothermal Energy, January 2021, Springer Science + Business Media,
DOI: 10.1186/s40517-020-00182-9.
You can read the full text:
Resources
Contributors
The following have contributed to this page
