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Distributed Acoustic Sensing (DAS) for Periodic Hydraulic Tests: Laboratory Data

Feb 27, 2015
67.03 GB
Publicly accessible
These data were collected in the laboratory located at California State University Long Beach. They consist of DAS data collected from a fiber optic cable placed in a tank of water, subjected to oscillating head. These tests are described in the article linked below.
Authors
Coleman, T. California State University
geothermalenergydasdistributed acoustic sensingfiber opticsfluid pressure sensingfiber-opticacoustic sensing datacsu long beachlab dataoscillating pressurehydraulic testingperiodic

Raw Pressure Data from Boise Hydrogeophysical Research Site (BHRS)

Jul 17, 2013
271.6 MB
Publicly accessible
Pressure data from a phreatic aquifer was collected in the summer of 2013 during Multi-frequency Oscillatory Hydraulic Tomography pumping tests. All tests were performed at the Boise Hydrogeophysical Research Site. The data will be inverted using a fast steady-periodic adjoint-bas...
Authors
Lim, D. University of Wisconsin
geothermaltomographyhydrologypressureboiseoscillatory flowaquifer characterizationwellsporotomopressure testwell testraw databhrshydrogeophysicalpressure datawellreservoir characterizationidaho

Distributed Acoustic Sensing (DAS) of Strain at Earth Tide Frequencies: Laboratory Tests

Jan 24, 2018
1.09 GB
Publicly accessible
The solid Earth strains in response to the gravitational pull from the Moon, Sun, and other planetary bodies. Measuring the flexure of geologic material in response to these Earth tides provides information about the geomechanical properties of rock and sediment. Such measurements...
Authors
Coleman, T. and Becker, M. California State University
geothermalenergyearth tidedasdistributed acoustic sensingfiber optics sensorslow frequency straingeomechanicsmeasurementmatlabegslab testsfracturecharacterizationhydraulicstimulation strain

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