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"pore pressure heterogeneity"×
Operational Data and Power Cycle×

Operational Performance Requirements For Motor Power Sections Used in Geothermal Drilling Based Upon Minimum Specific Energy

Sep 10, 2014
869.71 kB
Publicly accessible
Operational performance requirements are needed to support development of specifications for downhole motor power sections to be used for drilling hard rock during geothermal wellbore construction. Theoretical torque specifications are derived based upon a widely-accepted rock-re...
Authors
Raymond, D. Sandia National Laboratories
geothermalmotordownholespecific energytorquepower sectionbit wearhydrostatic pressureheterogeneous rockheterogeneous geologynon-ideal drilling conditionspoor drilling conditionsoperationsperformance requirementsmotor power sectionsdrillingwellwellboreconstruction

Lightning Dock Geothermal Field Data Package, Hidalgo County, New Mexico

Aug 19, 2026
7.4 GB
Publicly accessible
This submission is a curated geoscience, well and plant-operations data package for the Lightning Dock geothermal field in the Animas Valley, Hidalgo County, south-western New Mexico, a liquid-dominated system produced for binary (ORC) power generation. It covers well-by-well data...
Authors
Ifrene, G. et al Zanskar Geothermal
lightning dockwell logsgisproduction datageothermalenergytracer testpower generationgeochemistrygeophysicsgroundwaterbinary systemorcdownhole temperaturebouguermagnetotelluricinversion modelsaeromagneticsgravity surveylidarquaternary faultgeologymud logstemperature

Utah FORGE: Injection and Production Test results and Reports from August 2024

Sep 24, 2024
6.23 MB
Publicly accessible
This dataset includes results and reports from the injection/production test for wells 16A(78)-32 and 16B(78)-32 in August, 2024 at Utah FORGE. Materials include injection, post stimulation production, flow rate, gamma, temperature and pressure survey results. For the respective ...
Authors
Kolomytsev, L. and Chadwick, C. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgeegsproductioninjectionsurveyprocessed datainjection reportsproduction reportsinjection profileproduction profile16a78-3216b78-32production logwell log datainterpretationswell log interpretationsreportsslblogging

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

Paisley Oregon Geothermal Plant Operated by Surprise Valley Electrification 2016 Operational Information

Jan 01, 2017
1.89 MB
Publicly accessible
This submission includes an Electricity Generation Summary, Maintenance Logs, Detailed Operations Data, Operating Cost Summary, and an Operations overview at the Paisley Oregon Geothermal Plant. Data uploaded for SVEC by Tom Williams, NREL
Authors
Culp, E. Surprise Valley Electrification Corp. (SVEC)
geothermalenergyelectricityarrasurprise valleypaisleyoregonelectrification corporationbinary cycleelectricity generationsummaryoperationsommaintenanceequipmentsvecdataoperatingflow ratestemperaturepressureweathercostoverview

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
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