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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

DEEPEN Data Catalog for Magmatic Geothermal Systems in the United States

Sep 30, 2021
1.88 MB
Publicly accessible
This data catalog contains information related to the Training Site Analysis for the Geothermica project "DE-risking Exploration of geothermal Plays in magmatic ENvironments (DEEPEN)." The DEEPEN project aims to reduce exploration risk for geothermal fluids in magmatic systems by ...
Authors
Kolker, A. et al National Renewable Energy Laboratory
geothermalenergyworld volcanic centerspfaplay fairwaydeepenmagmatic environmentsexplorationdata catalogmagmaticcosoaleutianscascadeshawaiioregoncaliforniasnake river plainsrpwashingtonnewberryvolcanicvolcanogeyserssupercriticalcharacterizationgeophysicsgeologygeochemistrytemperaturewell datamodelinggroundwaterremote sensing