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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs

Feb 18, 2021
4.49 MB
Publicly accessible
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningsubsurfacecharacterizationbrady hot springspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementbradys hot springsporotomoreservoirdual-porositystimulationinjection testmodeltemperatureflowpressuresimulationsingle-fracturedoubletheatmapheat maptensorflow

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Oct 20, 2021
6.41 MB
Publicly accessible
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningmlsubsurfacecharacterizationbrady hot springsbhspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementreservoirdual-porositystimulationinjection testpdetemperatureflowpressuresimulationsingle-fracturedoubletheat maptensorflowcnnlstmmlphydrothermalopen source reservoirosrnevada

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

EGS Collab Experiment 1: In-situ observation of pre-, co and post-seismic shear slip preceding hydraulic fracturing

May 22, 2018
136.27 MB
Publicly accessible
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...
Authors
Guglielmi, Y. et al Lawrence Berkeley National Laboratory
geothermalenergyegsegs collabsurfsanford underground research facilityseismicinjection teststimulationslip vectorshearaxialdisplacementpressureborehole displacementdeformationsimfipprobeboreholee1-ipre-slipco-seismicslippost-seismicaftersliphydraulicfracturingin-situ