Quantifying the Relationship of Porosity and Alteration based on Lithology Classification in Icelandic Rocks
Porosity and alteration play an important role in the mechanical behavior of volcanic rocks. The mea
Machine Learning in Geothermal Development
GOOML: Geothermal Operational Optimization with Machine Learning
Geothermal Operational Optimization with Machine Learning (GOOML) is a project focused on maximizing
Machine Learning for Natural Resource Assessment: An Application to the Blind Geothermal Systems of Nevada
A study is underway to apply machine learning methods to evaluate natural resource potential. In par
Productivity Prediction of a Geothermal System Using a LSTM Neural Network
Predicting the productivity of a geothermal system is a challenging task due to complex reservoir pr
Multi-Objective Optimization of Heat Extraction From Multilateral-Well Geothermal System
Operational parameter optimization is of great significance to improve overall heat extraction perfo
