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Salton Sea, CA×

SSGF Mineral Major Elements and Lithium Concentration

May 01, 2023
1.38 MB
Publicly accessible
Presented are major element and lithium concentrations of minerals from the Salton Sea Geothermal Field (SSGF), located in the Imperial Valley, California. With a recent increase in demand for lithium, the area is now being studied as a source of geothermal brine for lithium extr...
Authors
Humphreys, J. et al Lawrence Berkeley National Laboratory
geothermallithiummineralrockssalton sea geothermal fieldbrinelithium isotopteschloritegeologygeochemistryhydrothermalisotope quantificationextractionsalton sealithium valleygeothermal brineimperial countyraw data

SSGF Trace Element Concentrations

Jan 08, 2026
706.57 kB
Awaiting release
Presented are trace element concentrations of minerals from the Salton Sea Geothermal Field (SSGF), located in the Imperial Valley, California. With a recent increase in demand for lithium, the area is actively being studied as a source of geothermal brine for lithium extraction. ...
Authors
Kovalick, A. et al University of California Riverside
geothermaltrace elementssalton sea geothermal fieldrocksmineralhydrothermallithium valleygeothermal brineraw dataimperial countyssgfimperial valleyrare earth elementsreecritical mineralsmnznconibrine-rock reactionrock samplesbrine samplesrhyolitic domesdurmid hillsschmitt and hulenca 2-14wellschemistryfluid chemistrygeochemistrysalton sealithium extraction

Imperial Valley Dark Fiber Project (IVDF): Brawley EQ Cluster Catalog and DAS Event Dataset

Apr 08, 2026
4.13 GB
Publicly accessible
The Imperial Valley Dark Fiber (IVDF) project deployed a distributed acoustic sensing (DAS) interrogator on a pre-existing dark fiber cable running ~28 km between Calipatria and Imperial, California, passing through the Brawley Geothermal Field and surrounding Brawley Seismic Zone...
Authors
Ajo-Franklin, J. et al Rice University
geothermalenergydasdistributed acoustic sensingfiber optic sensingbrawley seismic zonesalton seaimperial valleybrawley fieldearthquakeseismicityevent cataloghdf5southern california seismic networkscsnwaveform recordingsswarmraw dataprocessed datageophysics

Appendices for Geothermal Exploration Artificial Intelligence Report

Jan 08, 2021
2.76 GB
Publicly accessible
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Authors
Duzgun, H. et al Colorado School of Mines
geothermalenergyartificial intelligencehydrothermally altered mineralsmineral markerssvmgeodatabasewellfaultseismicaiborderbradydesert peaksalton sealand surface temperaturedeformationgeophysicalgeophysicssupport vector machinehyperspectralhyperspectral imagingcalifornianevadaegsblindblind systemdeep learningmachine learningexplorationgeospatial datashort wavelength infraredswirdatabaseanomaly detectionsite detectionradarhydrothermalmodelconceptual modelzoteroraw datapreproccessedprocessed dataenhanced geothermal systemengineered geothermal systemremote sensingarcgisgisinsarmorphologymorphologicalmorphological featurestirvnirvisible near infraredthermal infraredcodepython