Non-negative Matrix Factorization to Discover Dominant Attributes in Utah FORGE data
Enhanced Geothermal Systems (EGS) is an efficient way to create geothermal reservoir in hot but insu
Machine Learning, Advanced Materials, FORGE, and EGS Collab E-Posters
Interpretation of In-Situ Stresses at the Utah FORGE Site using Pressure and Temperature Signatures
In Sept 2017, an injection program was carried out in the openhole toe (Zone 1) of Well 58-32 at the
Initial Results of Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in Nevada
We are applying machine learning techniques, including artificial neural networks and training site
Focal Mechanism Inversion of Microseismic Events at the First EGS Collab Testbed
Continuous microseismic monitoring was performed to monitor the fracture growth in the repeated frac
Anisotropic Rock Properties at the First EGS Collab Testbed
Geophysical characterization of reservoir rocks is crucial for effectively stimulating and monitorin
