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Rheology data obtained from flow loop tests, performed using different lost circulation materials (LCM) to study their effect on fluid rheology and wellbore hydraulics. The sealing performance of different LCM was tested using different fracture sizes. Five academic papers / repor...
This link points to the Northern California Earthquake Data Center (NCEDC) to access The Geysers seismic broadband data. The two available data sets consist of continuous waveform data recorded at The Geysers from July 2012 to July 2013 and a processed catalog with earthquake info...
This dataset compiles information on geothermal wells drilled into supercritical and near-supercritical conditions, with a focus on drilling and completion materials, fluid chemistry, and laboratory validation studies. The data are drawn from well reports, scientific literature, a...
This report describes a comprehensive review of 49 existing supercritical geothermal wells to inform future geothermal drilling attempts and avoid previous failure points and understand material and testing limitations, while collating information gathered in a publicly accessible...
Previous moderate and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable mode...
The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...
Understanding the initiation and arrest of earthquakes is one of the long-standing challenges of seismology. Here we report on direct observations of borehole displacement by a meter-sized shear rupture induced by pressurization of metamorphic rock at 1.5 km depth. We observed the...
This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...
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