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Newberry EGS Demonstration: Well 55-29 Stimulation Data 2014

Sep 03, 2015
308.58 MB
Publicly accessible
The Newberry Volcano EGS Demonstration in central Oregon, a 5 year project begun in 2010, tests recent technological advances designed to reduce the cost of power generated by EGS in a hot, dry well (NWG 55-29) drilled in 2008. First, the stimulation pumps used were designed to ru...
Authors
Cladhouhos, T. et al AltaRock Energy Inc
geothermalegsdiverter materialmicroseismic monitoringtemperature monitoringgroundwater monitoringstimulation datanewberrywell datainjectivitypts datadaily reportoperations summarytemperature at depthwell head pressuredtstemperaturedepthprofileflow testwhtwhpflow rateflow datapressure databackflow reportgeochemistrygroundwatergas chemistryfield temperatureplhsnewwpad-16pad-29nn-17nn-18ground watersurface waterelhspcgvcpad 16pad 29publicationsgrcstimulationresultspaperdemonstrationproduction wellaltarocksgwstanfordpresentationvolcano2014newberry volcanoenhanced geothermal systemtoughreactthermalhydrologicalmechanicalchemicalpressure fall-offdownhole pressure55-29ptspresssurespinnersurveychartgraphreportdatamonitoring dataseismic dataseismicinduced seismisityanalysisfinal reportfoulger consultinginjectioninduced seismicitymitigationplanaddendumeventlocationsistirawclusteredoutputpnsnwell constructionwellboreschematiccasinghole depthsultrasonicflowratemanual readingsweir boxmeqmicroseismicity

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