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WISE-CASING: DC Simulation at Containment and Monitoring Institute (CaMI), Calgary, Canada

Apr 30, 2019
570.83 kB
Publicly accessible
For the model calculation we applied EM3D using completion diagram of CaMI site and a background resistivity consistent with the borehole logs. It was also important to use the accurate position of the return electrode. We note that for the data fit the code also incorporated we...
Authors
Wang, J. and Wilt, M. Lawrence Berkeley National Laboratory
geothermalenergyemem3dcamiborehole logsdc modelsandiasimulationfield dataelectrostatic rsponseelectric fieldshierarchical modelinglow frequency em methodvalidationwise-casingcontainment and monitoring institutecmcnumericalfemfielddatafdemsimulatedmodelingmodellingcanadalow frequencyfrequency domaingeophysicsboreholecorrosionintegritywellborewellpotential fieldexcitation5 hzelectromagneticcasingelectric fieldforwardexperiment

WISE-CASING: Frequency Domain EM Data from Cymric Oil Field, CA

Apr 30, 2019
1.02 MB
Publicly accessible
Cymric oil field frequency domain electromagnetic (FEM) data with two parts of data labeled Part 1 and Part 2. Part 1 utilizes an electrical source line parallel to the receiver line, while Part 2 utilizes an electrical source line at a 75 deg angle to the receiver line. Data are ...
Authors
Wang, J. et al Lawrence Berkeley National Laboratory
geothermalenergyemgeophysicsfemfield testfield dataexperiment5hz1hzcross-sectionalem datacymric fieldelectromagneticcaliforniakern countywellborewellcasingintegritygeophysicalfdemwise-casinglow frequencypotential fieldelectric fieldmodelforwardmodelingmodellingsimulationfielddataelectrostaticresponsenumericalsimulatedfrequency domaincorrosionborehole2-8cymricoilsteam floodsensingassessment

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