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Seismic Analysis of Spatio-Temporal Fracture Generation During EGS Resource Development Full Moment Tensors and Stress Inversion Catalogs

Sep 26, 2018
51.03 kB
Publicly accessible
This submission contains 167 full moment tensor (MT) solutions for the seismicity observed two years prior and three years post start of injection activities. Also included are the azimuth and plunge angles for the three main stress directions sigma1, sigma 2 and sigma 3 at the P...
Authors
Gritto, R. et al Array Information Technology
geothermalenergyseismic moment tensorstress orientationstress changesinversiongeysersegsenhanced geothermalazimuthplungemincroseismicityinjectionstimulationreservoirthe geysershigh temperature reservoirfull mtsolutionspassiveseismicseismicitymicroseismicitymonitoringarraymomenttensorcataloganalysisinducedstressprati 32demonstrationfracturespatio-temporalgenerationresourcedevelopmenthydraulicfaultingfaultearthquakegeophysicsgeophysical

Seismic Analysis of Spatio-Temporal Fracture Generation During EGS Resource Development Deviatoric MT, Fracture Network, and Final Report

Sep 01, 2018
62.11 kB
Publicly accessible
This submission contains 167 deviatoric moment tensor (MT) solutions for the seismicity observed two years prior and three years post start of injection activities at The Geysers Prati 32 EGS Demonstration. Also included is a statistical representation of the properties of 751 fra...
Authors
Gritto, R. et al Array Information Technology
geothermalenergythe geysershigh temperature reservoirdeviatoric mt solutionsdeviatoricstresstensorcatalogmomentseismicityanalysisegsinjectioninducedmicroseismicityeventlocationshearstrainfracture networkfracture orientationfracture sizecaliforniacafaultfracturenetworkgeysersmicroseismichypocenterspassiveseismicmonitoringstimulationfinal reportinversionhydraulicfaultingearthquakegeophysicsgeophysical

Source Code for QuakeCastNet: Forecasting of Injection-Induced Seismicity

Sep 20, 2026
16.21 MB
Curated
This submission houses the companion code for the manuscript by Zhengfa Bi (Lawrence Berkeley National Laboratory) and Nori Nakata (Lawrence Berkeley National Laboratory; MIT). Both the companion code and manuscript are included in the resources section of this submission. Fluid ...
Authors
Nakata, N. and Bi, Z. Lawrence Berkeley National Laboratory
geothermalenergyutah forgeseismicitydeep learningthe geysersforecastegsinduced seismicityseismicity forecastingtftprobabilisticmulti-horizontemporal transformer frameworkmachine learning