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"matrix permeability"×

Deep Direct-Use Feasibility Study Estimation of Reservoir Properties for the Tuscarora Sandstone

Dec 19, 2019
56.41 MB
Publicly accessible
This dataset contains black-and-white photographic images of individual core segments from well Preston 119 and photomicrographs taken of petrographic thin sections from well Clay 513. Minipermeameter measurement results of 2,260 samples for fracture and matrix permeability on cor...
Authors
McDowell, R. West Virginia University
geothermalappalachian basinwvuwvgestuscarora sandstonethin section analysisminipermeameterpermeabilityddudeep direct-usematrix permeabilitycore segmentsfracture analysisreservoir analysisphotomicrographsfracture permeabilityfeasibilityreservoirgeologicthermalpropertiesthicknessdepthcharacterizationwvegs

Simulations of Brady's-Type Fault Undergoing CO2 Push-Pull: Pressure-Transient and Sensitivity Analysis

Mar 09, 2018
9.74 MB
Publicly accessible
Input and output files used for fault characterization through numerical simulation using iTOUGH2. The synthetic data for the push period are generated by running a forward simulation (input parameters are provided in iTOUGH2 Brady GF6 Input Parameters.txt [InvExt6i.txt]). In gene...
Authors
Jung, Y. and Doughty, C. Lawrence Berkeley National Laboratory
geothermalenergyegsco2carbon dioxidepush-pullpressure-transient testingitough2sensitivity analysisinverse modelingparameter estimationinconpesttough2fault modelinggf6bradyfaultingfaultfracturecharacterizationstimulation

Deep Direct-Use Feasibility Study Reservoir Productivity Uncertainty Analysis for the Tuscarora Sandstone, Morgantown, WV

Dec 19, 2019
10.81 MB
Publicly accessible
This dataset contains figures that summarize the Tuscarora Sandstone core permeability data collected from the Preston 119 well in Preston County, WV, and summary results of a stochastic analysis that was used to estimate reservoir productivity for the currently unexplored Tuscaro...
Authors
Smith, J. West Virginia University
geothermalwvucornell universityappalachian basintuscarora sandstonereservoir flow geometryreservoir productivity assessmentpermeabilitymatrixfractureuncertainty analysisreservoir productivity indexreservoir flow capacityrpirfcmonte carlo analysiscodeddudeep direct-usefeasibilityfavorabilityeasterneastuncertaintyegsshapefilesgeospatial data

Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

Oct 01, 2021
5.68 MB
Publicly accessible
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...
Authors
Siler, D. et al United States Geological Survey
geothermalenergynmfkbrady hot springsmachine learningmlbhsnonnegative matrix factorization k-meanshydrothermalbradyk-meansclusteringnonnegative matrix factorizationmatrix factorizationgeothermalcloudsmarttensorsunsupervised3d well data3d geologic mapgeologic structurefaultsstressgeologycharacterizationgeologic modelproductioncode

Chemical, Calcium Phosphate Cements for Geothermal Wells Corrosion Protection, Bond Strength and Matrix Self-Healing

Sep 26, 2017
704 kB
Publicly accessible
The data set shows performance of economical calcium phosphate cement (Fondu) blended with fly ash, class F (FAF) in carbon steel corrosion protection tests (corrosion rate, corrosion current and potential), bond and matrix strength, as well as matrix strength recovery after impos...
Authors
Sugama, T. Brookhaven National Laboratory
geothermalenergycarbon steel corrosioncorrosion rateself-healinghigh temperaturehigh temphigh-tempcasingexperimentwellboreintegritycorrosion protectioncomposite

Graph Theory for Analyzing Pair-wise Data: Application to Interferometric Synthetic Aperture Radar Data

Jul 28, 2016
3.96 MB
Publicly accessible
Graph theory is useful for estimating time-dependent model parameters via weighted least-squares using interferometric synthetic aperture radar (InSAR) data. Plotting acquisition dates (epochs) as vertices and pair-wise interferometric combinations as edges defines an incidence gr...
Authors
Reinisch, E. University of Wisconsin
energyporotomoinsartime seriestemporal adjustmentgraph theoryporoelastic tomographythesispapermodelparametersmodelingtime-dependenttime-varyingweighted least-squaresinversionradarinterferometricsynthetic aperturelaplaciancovariancematrixmatlabgraphtreetaalaskaakokmokvolcanomagmavolumemethodimplementationapplicationviscousflowviscoelastic relaxationremote sensing

Self-Healing and Re-Adhering Polymer-Cements with Improved Toughness

Nov 11, 2015
16.14 MB
Publicly accessible
Polymer-cement experiments were conducted in order to assess the chemical and thermal properties of various polymer-cement composites. This file set includes the following polymer-cement analyses: Polymer-Cement Composite Synthesis Polymer-Cement Interactions by Atomistic Simulat...
Authors
Fernandez, C. Pacific Northwest National Laboratory
geothermalself-healingcementpolymerwellbore integritywater to cementratiopolymer mass percentageatomistic simulationsradial distribution functioncompressive strengthfracture toughnesspolymer-cementftirfourier transform infrared spectroscopychemical analysissulfuric acidco2thermal shockbrinebulk thermal propertiesh2so4attackmineral acidresistanceconsistencyflowabillitydynamic yield strengthrheologypermeabilitysemedxelemental compositionmicrostructurecompositional analysisthermogravimetric analysistotal carbon analysistoctictgatotal organic carbontotal inorganic carbonx-ray diffractionwellbore cementtechnologyintegritywellbore

Effective Elastic and Neutron Capture Cross Section Calculations Corresponding to Simulated Fluid Properties from CO2 Push-Pull Simulations

Mar 07, 2018
4.46 MB
Publicly accessible
The submission contains a .xls files consisting of 10 excel sheets, which contain combined list of pressure, saturation, salinity, temperature profiles from the simulation of CO2 push-pull using Brady reservoir model and the corresponding effective compressional and shear velocity...
Authors
Chugunov, N. and Altundas, B. Lawrence Berkeley National Laboratory
geothermalenergyco2carbon dioxidepush-pullactive seismicwell loggingegsneutron capturesnuparstimulationsensitivity analysischaracterizationfaultfracturefluidbrine

High-Temperature Inorganic Self-Healing Inorganic Cement Composites

Sep 13, 2017
1.42 MB
Publicly accessible
The data files below summarize the results from various experiments testing properties of high-temperature self-healing inorganic cement composites. These properties include cement-carbon steel bond strength, Young's modulus recovery, matrix recovery strength, and compressive stre...
Authors
Pyatina, T. and Sugama, T. Brookhaven National Laboratory
geothermalenergycarbon steelbond strengthcement-carbon steel bond strength recoveryhigh temperature cementself-healinghigh tempself healingstrength recoveryrepeated damagehigh temperaturescement compositesaged samplesclaypozzolanself-healing cementhigh temperaturepozzolanachemicalinorganiccementhigh-tempcompositeintegritytechnologywellbore

Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University

Dec 20, 2019
384.67 MB
Publicly accessible
To reduce the geothermal exploration risk, a feasibility study is performed for a deep direct-use system proposed at the West Virginia University (WVU) Morgantown campus. This study applies numerical simulations to investigate reservoir impedance and thermal production. Because of...
Authors
Garapati, N. et al West Virginia University
geothermalwvutuscaroraitough2lbnlreservoir flow modelpermeabilityfracturematrixuncertainty analysisnumerical modelingmonte carlofirst-order-second-moment uncertainty propagation analysisfeasibilityddudeep direct-usemorgantownreservoir impedancethermal productionresource potentialthermal breakthroughpermeability modelseconomic analysispapergeothermicsgeothermal exploration riskexploration riskmodelingeconomicdirect usewest virginia universitytuscarora sandstoneflow modeluncertaintyanalysissimulationflow

Analyzed DTS Data, Guelph, ON Canada

Jul 01, 2015
4.73 MB
Publicly accessible
Analyzed DTS datasets from active heat injection experiments in Guelph, ON Canada is included. A .pdf file of images including borehole temperature distributions, temperature difference distributions, temperature profiles, and flow interpretations is included as the primary analyz...
Authors
Coleman, T. University of Wisconsin
geothermaldtsboreholetemperatureguelphimagespressuregradientwelldrill-holecodeontariocamatlab

Magnetic Test Loop Particle Retention Data for REE Extraction from Geothermal Fluids

Jul 27, 2018
396.3 kB
Publicly accessible
Measurements of particle extraction efficiency under various flow rate and magnetic power conditions
Authors
McGrail, P. and Liu, J. Pacific Northwest National Laboratory
geothermalenergymineral extractionreerare earthretentionoperationratecomparisonnanoparticleabsorbancemagneticextractionelementmineralparticle

Rare Earth Element Biomining from the Great Salt Lake Brine Using Engineered E. Coli

Jun 04, 2017
207.33 kB
Publicly accessible
This data describes rare earth element adsorption onto E. coli cells engineered to express a lanthanide binding tag (LBT). We used a Great Salt Lake synthetic solution as the background matrix with Tb added to 1-10,000 ppb, concentrations much lower than the competing ions presen...
Authors
Jiao, Y. et al Lawrence Livermore National Laboratory
geothermalenergyrare earth elementadsorptiongeofluidreebrinebiomininge. coligreat salt lakebrine study

Matlab Scripts and Sample Data Associated with Water Resources Research Article

Jul 18, 2015
487.87 MB
Publicly accessible
Scripts and data acquired at the Mirror Lake Research Site, cited by the article submitted to Water Resources Research: Distributed Acoustic Sensing (DAS) as a Distributed Hydraulic Sensor in Fractured Bedrock M. W. Becker(1), T. I. Coleman(2), and C. C. Ciervo(1) 1 California St...
Authors
Becker, M. and Coleman, T. California State University
geothermalenergydistributed acoustic sensingfractured rockmatlabboreholefse9silixa idasdasdistributed hydraulic sensinggeologyfracturedbedrockmirror lakewell dataraw datadisplacementfftdecimatedstep test

Machine Learning Model Geotiffs Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Jun 01, 2021
590.94 MB
Publicly accessible
This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning project, meant to accompany the final report. Layers include: Artificial Neural Network (ANN), Extreme Learning Ma...
Authors
Faulds, J. et al Nevada Bureau of Mines and Geology
geothermalenergyneural networkbayesianannelmbnnprincipal componentpcanmfmachine learningalgorithmplay fairwaynevadapfagreat basingeotiffexplorationcharacterizationinputsoutputsrasterfeature settraining sites

Summary of Cement Formulations Tested by BNL for Self-Healing Ability Tests Conditions and Data

Sep 27, 2017
168.02 kB
Publicly accessible
A table of cement formulations tested by Brookhaven National Laboratory in 2016-2017 in the frame of the "Self-healing and Re-Adhering Cements with Improved Toughness at Casing and Formation Interfaces for Geothermal Wells" project.
Authors
Sugama, T. Brookhaven National Laboratory
geothermalenergyself-healingself-readheringcorrosion protectioncement compositesparameterchemicalcompressive strengthlap-shearcement-sheathbond testsbond strengthbond durabilityalkali activatedportland-cement-basedpozzolaniccementclaycasinginterfaceexperiment

Python Codebase and Jupyter Notebooks Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Jun 30, 2022
8.37 GB
Publicly accessible
Git archive containing Python modules and resources used to generate machine-learning models used in the "Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada" project. This software is licensed as free to use, modify, a...
Authors
Brown, S. and Smith, C. Nevada Bureau of Mines and Geology
geothermalenergymachine learningnevadapythonjupytergitcodealgorithmmodelpytorchpandasscriptgeotiffbayesian neural networkartificial neural networkpcanmfkbnnannprincipal component analysisnon-negative matrix factorizationpfaexplorationcharaterizationjupyter notebookgreat basinresultsdatadocumentation

Brine Stability Study

Apr 15, 2015
1.75 MB
Publicly accessible
This is a study of the brine formulations that we were using in our testing were stable over time. The data includes charts, as well as, all of the original data from the ICP-MS runs to complete this study.
Authors
Garland, G. Tusaar Corp.
geothermalbrinestabilitysimplebrine studyreerare earth elementsnakcasodiumcalciumpotassium

Financial Summary, Nanofiltration Data, and Lithium Uptake Data

Dec 05, 2016
177.89 kB
Publicly accessible
Integrated testing of nanofiltration and lithium uptake subsystems using synthetic geothermal brine. Also includes a financial summary (Pro Forma) of the proposed 'Geothermal Thermoelectric Generation (G-TEG) with Integrated Temperature Driven Membrane Distillation and Novel Manga...
Authors
Renew, J. Southern Research Institute
geothermalnanofiltrationlithium uptakenano hmobrinerejection efficiencychemistryfinancialpro formageorgiasynthetic geothermal brinesouthern research institutethermoelectricg-teglithium extractionnpvnet present valueeconomicspricediscount ratecost per metric toncost summaryrevenue

Kinetics of Chlorite Dissolution at Elevated Temperatures and CO2 Conditions

Jul 01, 2013
860.02 kB
Publicly accessible
Methods and results of the Kinetics of Chlorite Dissolution at Elevated Temperatures and CO2 Conditions are described and discussed in the paper. Data from this experiment is included as a downloadable .xlsx spreadsheet in the linked GDR submission. Chlorite dissolution kinetics w...
Authors
Carroll, S. et al Lawrence Livermore National Laboratory
geothermalchloritekineticsco2temperaturekinetic rate lawdissolutionhigh temperaturegeochemistry

Utah FORGE 5-2615: Shear Enhanced Permeability In a Granitoid Fracture Presentation Slides

Feb 28, 2024
2.51 MB
Publicly accessible
Provided here is a set of presentation slides detailing stress-dependent permeability in FORGE granitoid fractures and how fracture slip affects permeability. It outlines empirical correlations between permeability, stress, and fracture aperture, emphasizing that mechanically clos...
Authors
Ghassemi, A. and Ye, Z. University of Oklahoma
geothermalenergyutah forgeegsfacture slippermeabilitystress-dependent permeabilitygranitoid fracturefracture networkstimulationapertureinjectionflow testshear testreservoir stressreportdata analysis

Hybrid machine learning model to predict 3D in-situ permeability evolution

Nov 22, 2022
5.58 MB
Publicly accessible
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...
Authors
Elsworth, D. and Marone, C. Pennsylvania State University
geothermalenergyegsnewberryhydraulicstimulationprocessed datamachine learningpermeability evolutionhydraulic fracturinginduced seismicityegs collabseismic data analysiswellhead pressureflow ratefracture permeabilitymicroearthquakeenhanced geothermal systems

Utah FORGE 5-2419: Final Report and Presentation on Seismicity Permeability Relationships Probed via Nonlinear Acoustic Imaging

Sep 30, 2025
254.88 MB
Publicly accessible
This submission contains the final technical report and closeout presentation for Utah FORGE Project 5-2419, which investigates the coupled evolution of permeability and induced seismicity in enhanced geothermal systems using laboratory experiments, field observations, and nonline...
Authors
Elsworth, D. Pennsylvania State University
geothermalenergyutah forgeegspermeabilityinduced seismicitylaboratory experimentsfield observationsnonlinear acoustic imagingfault reactivationreservoir rockmicroearthquakestimulationphysics informed modelingmachine learningseismic momentstress statepermeability creationseismic hazardtechnical reportgeomechanicsgeophysicsmicroseismicity

Snake River Plain Geothermal Play Fairway Analysis Heat, Permeability, and Seal CRS Map Raster Files

Oct 09, 2015
117.95 MB
Publicly accessible
Snake River Plain Play Fairway Analysis Phase 1 CRS Raster Files. This dataset contains raster files created in ArcGIS. These raster images depict Common Risk Segment (CRS) maps for HEAT, PERMEABILITY, AND SEAL, as well as selected maps of Evidence Layers. These evidence layers c...
Authors
Shervais, J. Utah State University
geothermalsnake river plainidahoplay fairway analysispfagroundwater temperatureresource assessmentsite characterizationheatpermeabilitysealgravitymagneticdilation tendancyfaultingfaultsheat sourceventsedimentslip tendancyaquifersrp

GIS Resource Compilation Map Package Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Jun 01, 2021
831.16 MB
Publicly accessible
This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to accompany the final report. The package includes layer descriptions, layer grouping, and symbology. Layer groups incl...
Authors
Brown, S. et al Nevada Bureau of Mines and Geology
geothermalenergynevadamachine learningmap packagegispcanmfbnnannelmgeochemistrygeophysicsheat flowslip and dilationstructureplay fairwaypfaexplorationcharacterizationgreat basindlipdilationgeodatabasehydrothermaldatamodelsprocessed datapaleo-geothermal featurestest sittessupervisedunsupervisedcultural
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