Found 6 datasets matching filters.
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The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data...
Search relevance: 1.00 | Views last month: 2 | Published on: 2026-01-27 -
Wells for Engineered Geothermal Systems (EGS) typically occur in conditions presenting significant challenges for conventional rotary and percussive drilling technologies: granitic rocks that...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-01-27 -
The evolution of flow pattern along a single fracture and its effects on heat production is a fundamental problem in the assessments of engineered geothermal systems (EGS). The channelized flow...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-01-27 -
Widespread adoption of geothermal energy will require access to deeply buried resources in granitic basement rocks at high temperatures and pressures. Exploiting these resources necessitates novel...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-01-27 -
This dataset includes the data and a report on the large upscaled discrete fracture network modeling done for the Utah FORGE project in 2023. The FORGE modeling team is making five discrete...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-01-27 -
*This submission provides corrections to GDR Submissions 844 and 845* Poroelastic Tomography (PoroTomo) by Adjoint Inverse Modeling of Data from Hydrology. The 3 *csv files containing pressure...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-01-27
