Search GDR Data

Showing results 1 - 8 of 8.
Show results per page.
Order by:
Available Now:
Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"USA"×
Stimulation and Microseismicity×

Dataset and SUTRA model used to evaluate Reservoirs for Thermal Energy Storage in the Portland Basin, Oregon.

Jun 29, 2020
Size unavailable
Publicly accessible
This is a link to the open access, published dataset and modeling that supports a feasibility study of Reservoir Thermal Energy Storage (RTES) in the Portland Basin, Oregon, USA. Citation: Burns, E.R., 2020, SUTRA model used to evaluate Saline or Brackish Aquifers as Reservoirs f...
Authors
Bershaw, J. et al Portland State University
geothermalenergymodelrtesportland basinoregonsutratessimulationviscositydensityflowstimulationhydraulicaquifersalinebrackishporositywell-spacingwell datadistrict heatingheatingcoolingthermal efficiencyheat fluxtemperaturevolumepumping rate

Pressure-Temperature Simulation at Brady Hot Springs

Jul 11, 2017
2.96 MB
Publicly accessible
These files contain the output of a model calculation to simulate the pressure and temperature of fluid at Brady Hot Springs, Nevada, USA. The calculation couples the hydrologic flow (Darcy's Law) with simple thermodynamics. The epoch of validity is 24 March 2015. Coordinates are ...
Authors
Feigl, K. Temple University
geothermalenergyinsar-meqporotomoinsarmicroseismicitymeqmicroearthquakeseismicityinducedsimulationpressuretemperaturebradybrady hot springs

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

EGS Collab Experiment 2: Distributed Fiber Optic Temperature Data (DTS)

Nov 08, 2022
2.77 GB
Publicly accessible
The EGS Collab Experiment took place at the Sanford Underground Research Facility at the Homestake gold mine in Lead, SD, USA. Distributed fiber optic sensing temperature data is included in this dataset for this experiment. A single loop of custom fiber package was grouted into ...
Authors
Rodriguez Tribaldos, V. et al Lawrence Berkeley National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsdfosfiber opticxt-dtstemperaturedtsexperiment 2distributed sensingmonitoringcharacterization

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

EGS Collab Experiment 2: Continuous Broadband Seismic Waveform Data

Sep 12, 2022
17.77 MB
Publicly accessible
The EGS Collab Experiment took place at the Sanford Underground Research Facility at the Homestake gold mine in Lead, SD, USA. This dataset includes the NSF SAGE website where seismic waveform data from this experiment can be downloaded. Two broadband seismometers were installed...
Authors
Rodriguez Tribaldos, V. Lawrence Berkeley National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegswaveformsbroadbandtiltcharacterizationseismicwaveformgeophysicsexperiment 2continuousmonitoring4100 level