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"transfer learning"×
EGS Collab, SD×

EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography

Apr 20, 2020
6.74 MB
Publicly accessible
This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th Workshop on Geothermal Reservoir Engineering. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-w...
Authors
Chai, C. et al Oak Ridge National Laboratory
geothermalenergyegs collab3d seismic structuretransfer learningdeep learningmachine learninginteractivesurfp-waves-wavemicroseismic catalogseismic tomographyinteractive visualizationgeophysicsmodelingvelocitymodelmicroseismicitycatalogtransfer-learningdouble-difference tomography3dseismicmeqprocessed datageospatial data

EGS Collab Experiment 1: SIMFIP Notch-164 GRL Paper

Sep 24, 2020
11.52 MB
Publicly accessible
Characterizing the stimulation mode of a fracture is critical to assess the hydraulic efficiency and the seismic risk related to deep fluid manipulations. We have monitored the three-dimensional displacements of a fluid-driven fracture during water injections in a borehole at ~1.5...
Authors
Guglielmi, Y. Lawrence Berkeley National Laboratory
geothermalenergysimfipnew borehole instrumenthydrofractureegs collabnucleateanisotropyshear displacementwellboreexperimentstimulationseismicseismicityfracturehydraulic conductivitystressshearboreholemicro-shearingfoliationinjection testsanford underground research facilitysurfegshydraulicgeophysicsdisplacementflow rate

Hybrid machine learning model to predict 3D in-situ permeability evolution

Nov 22, 2022
5.58 MB
Publicly accessible
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...
Authors
Elsworth, D. and Marone, C. Pennsylvania State University
geothermalenergyegsnewberryhydraulicstimulationprocessed datamachine learningpermeability evolutionhydraulic fracturinginduced seismicityegs collabseismic data analysiswellhead pressureflow ratefracture permeabilitymicroearthquakeenhanced geothermal systems

EGS Collab Experiment 1: TOUGH2-CSM Simulation of Embedded Natural Fractures and Chemical Tracer Transport and Sorption

Jun 07, 2019
5.23 MB
Publicly accessible
The EGS Collab SIGMA-V project is a multi-lab and university collaborative research project that is being undertaken at the Sanford Underground Research Facility (SURF) in South Dakota. The project consists of studying stimulation, fluid-flow, and heat transfer processes at a scal...
Authors
Johnston, B. et al National Renewable Energy Laboratory
geothermalenergyegsegs collabtough2simulationenhanced geothermal systemssurfsanford underground research facilityreservoirmodelingtracernaturalfracturesfracturingchemicalsigma-vthermaltemperatureheat flowfluid flowmonitoringhydrauliccirculationinjectioninjectortough2-csmsorptiontransferbreakthrough

EGS Collab: Modeling and Simulation Working Group Teleconference Series (1-98)

Feb 04, 2020
11.93 GB
Publicly accessible
This submission contains the presentation slides and recordings from the first 98 EGS Collab Modeling and Simulation Working Group teleconferences. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field activities and resul...
Authors
White, M. et al Pacific Northwest National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsmodelingtemperatureheat flowdtstracerpressureinjection testflowc-dots