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"adaptive forecast"×

Utah FORGE 6-3656: Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting 2026 Workshop Presentation

Sep 30, 2026
63.77 MB
Curated
This is a presentation on Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting and Data-Driven Ground Motion Prediction (RT Forecast) by Lawrence Berkeley National Laboratory, presented by Dr. Nori Nakata. The ...
Authors
Nakata, N. et al Lawrence Berkeley National Laboratory
geothermalenergyutah forgeseismicity forecastingpresentationegsmachine learninginduced seismicityreservoir engineeringtraffic lightgeothermal reservoirreportreal-timeadaptive forecastrock deformationfracturerisk-informed2026 annual workshopdecision makingdecision support

QuakeCastNet: Source Code for Forecasting of Injection-Induced Seismicity

Sep 20, 2026
16.21 MB
Curated
This submission houses the companion code for the manuscript by Zhengfa Bi (Lawrence Berkeley National Laboratory) and Nori Nakata (Lawrence Berkeley National Laboratory; MIT). Both the companion code and manuscript are included in the resources section of this submission. Fluid ...
Authors
Nakata, N. and Bi, Z. Lawrence Berkeley National Laboratory
geothermalenergyutah forgeseismicitydeep learningthe geysersforecastegsinduced seismicityseismicity forecastingtftprobabilisticmulti-horizontemporal transformer frameworkmachine learningdecision supporttraffic light

Utah FORGE 6-3656: Real-Time Traffic Light System and Reservoir Engineering with Seismicity Forecasting and Ground Motion Prediction 2025 Workshop Presentation

Sep 18, 2025
86.94 MB
Publicly accessible
This is a presentation on Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting and Data-Driven Ground Motion Prediction (RT Forecast) by Lawrence Berkeley National Laboratory, presented by Nori Nakata. This vid...
Authors
Nakata, N. Lawrence Berkeley National Laboratory
geothermalenergyutah forge2025 annual workshopegsinduced seismicitytraffic light systemmachine learningseismicityforecastingground motion predictiongenerative aireservoir engineeringhigh-pressure experimentspresentationpresentation slidespresentation recordingreport

GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

Jun 30, 2021
13.6 MB
Publicly accessible
This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...
Authors
Buster, G. et al Upflow
geothermalenergymachine learningoptimizationoperationssynthetic datapower plantbig kahunagoomlgenetic optimizationforecastinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsneural networkdataprocessed datacodepythonsimulationmodel

Preliminary performance of HT Datalink

Feb 11, 2014
70.8 kB
Publicly accessible
Preliminary performance of high-temperature (HT) high-speed (HS) data link at room temperature over 5000 ft of wireline. The data shows ability of the data link to adapt by decreasing speed.
Authors
Cieslewski, G. Sandia National Laboratories
geothermaldata linkhigh temperaturehigh-speedadaptive data ratelogging cables

GOOML Kahunanui Data Curation, Historical Modeling, Forecast Modeling, and Genetic Optimization Examples

Jan 30, 2023
725.34 MB
Awaiting release
This dataset contains example files and Jupyter Notebooks associated with the Geothermal Operational Optimization using Machine Learning (GOOML) framework, specifically for the fictional Kahunanui (KHN) geothermal power plant. The dataset includes synthetic time series data, confi...
Authors
Taverna, N. et al Upflow
geothermalenergymachine learninggoomlpower plantoptimizationgenetic optimizationregressionneural networkoperationssynthetic datakahunanuiforecasthindcastdata curationinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsprocessed datapythonjupyter notebookmodelmodelingcode

Utah FORGE 8-3637: Integrated Diagnostics to Interpret Doublet Heat Sweep Efficiency 2026 Workshop Presentation

Sep 30, 2026
38.85 MB
Curated
This is a presentation on Integrated Diagnostics to Interpret Doublet Heat Sweep Efficiency by the Texas Tech University, presented by Smith Leggett. The project is developing integrated fiber-optic sensing, chemical tracer, and numerical modeling approaches to characterize fractu...
Authors
Leggett, S. Texas Tech University
geothermalenergyutah forgeegsfiber-optictracernumerical modelingfracture flowcharacterizationgeothermal reservoirresource developmentpresentationreport2026 annual workshopheat sweepdasdts16a

Simulating Complex Fracture Systems in Geothermal Reservoirs Using an Explicitly Coupled Hydro-Geomechanical Model

Jan 01, 2011
6.5 MB
Publicly accessible
Low permeability geothermal reservoirs can be stimulated by hydraulic fracturing to create Enhanced (or Engineered) Geothermal Systems (EGS) with higher permeability and improved heat transfer to increase heat production. In this paper, we document our effort to develop a numerica...
Authors
Carrigan, C. et al Lawrence Livermore National Laboratory
geothermalrock mechanicshydraulic fracturingenhanced geothermal systemegssimulationhydrohydrofrackingflowmodelmodelingreservoirfracking

Investigation of Stimulation-Response Relationships for Complex Fracture Systems in Enhanced Geothermal Reservoirs

Jan 01, 2011
7.34 MB
Publicly accessible
Hydraulic fracturing is currently the primary method for stimulating low-permeability geothermal reservoirs and creating Enhanced (or Engineered) Geothermal Systems (EGS) with improved permeability and heat production efficiency. Complex natural fracture systems usually exist in ...
Authors
Fu, P. et al Lawrence Livermore National Laboratory
geothermalenhanced geothermal systemegsdiscrete fracture flowmodelingreservoir stimulationstimulationhydraulic fracturing

Laboratory data for characterizing acoustic emissions during differential stress-driven and pore-pressure-driven failure in granite

Sep 20, 2026
Size unavailable
Curated
This dataset contains acoustic-emission (AE), ultrasonic-transmission, permeability, and hydromechanical measurements from triaxial laboratory experiments comparing differential stress-driven and pore-pressure-driven failure in saturated, thermally cracked Barre granite at 80 degr...
Authors
Nakata, N. and Pec, M. Lawrence Berkeley National Laboratory
geothermalenergyaegranitelaboratory experimentpermeabilityfracture networksstressstrainseismic monitoringraw datatraffic lightdifferential stress

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
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