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This work was developed to complement the geochemical assessments of produced water and geothermal water samples. Specifically, this task was designed to test the influence of reservoir rock-type and corresponding mineralogy/geochemistry on the concentrations of REE found in oil a...
Grid-scale energy storage has been identified as a needed technology to support the continued build-out of intermittent renewable energy resources. As of April 2017, the U.S. had approximately 24.2 GW of energy storage on line, compared to 1,081 GW of installed generation capacity...
We summarized the FY17 and part of FY18 results of the analysis of the effect of several parameters (e.g., total dissolved solids, specific competing metals, pH, and temperature) on REE recovery from geothermal brine in a manuscript that was submitted to Environmental Science & Te...
This dataset contains core-flood experimental results from the Utah FORGE project, generated through laboratory tests at Lawrence Livermore National Laboratory. The experiments were conducted at temperatures of 100C and 200C using core samples from the 16A(78)-32 well. The primary...
This dataset compiles groundwater recharge data for the Island of Hawaii derived from published studies, including work by Whittier and El-Kadi (2014) and Oki (1999, 2002), which are all linked below. The dataset is provided as a geospatial shapefile with associated attribute file...
This dataset encompasses the development of a geothermal energy system for the West Woodlawn neighborhood in Chicago, Illinois. This project is part of a broader initiative to design and deploy geothermal heating and cooling systems at a community scale. The dataset includes therm...
This dataset contains flow and geomechanical modeling results developed for the VESTA project, which investigates high-temperature aquifer thermal energy storage (ATES). Both generic and site-specific models were constructed to evaluate reservoir thermal and mechanical performance...
This dataset encompasses simulations of strain signatures from both hydraulically connected and "near-miss" fractures in enhanced geothermal systems (EGS). The files and results are presented from the perspective of digital acoustic sensing's (DAS) potential to differentiate the t...
The current uncertainty in the global supply of rare earth elements (REEs) necessitates the development of novel extraction technologies that utilize a variety of REE source materials. Herein, we examined the techno-economic performance of integrating a biosorption approach into ...
This dataset contains experimental data and scanning electron microscope (SEM) images generated during a study on the effects of surface chemistry on the mechanical consolidation of silicate-based geomaterials. The experiments were performed at Sandia National Laboratories in Albu...
Numerical simulations have shown that the use of supercritical CO2 instead of water as a heat transfer fluid yields significantly greater heat extraction rates for geothermal energy. If this technology is implemented successfully, it could increase geothermal energy production and...
Batch tests of lithium imprinted polymers of variable composition to assess their ability to extract lithium from synthetic brines at T = 45 degC. Initial selectivity data are included
Binary Engineering production data. Used to demonstrate the techno-economic feasibility of utilizing the available unused heat to generate additional electric power from a binary power plant.
The aim of this study is to understand how commercially available elastomers perform under geothermal well-like conditions and make recommendations to the community based on these results. This poster highlights the mechanical performance of several elastomers (including EPDM, Vit...
The EGS Collab SIGMA-V project is a multi-lab and university collaborative research project that is being undertaken at the Sanford Underground Research Facility (SURF) in South Dakota. The project consists of studying stimulation, fluid-flow, and heat transfer processes at a scal...
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Using laboratory slide-hold-slide experiments, at temperatures from 22 to 200 degrees C, to examine effects of fracture reactivation and quasi-static loading on the evolution of fluid transport properties of simulated fractures in Westerly granite. At all temperatures, the in-plan...
Binary production Data. Used to demonstrate the techno-economic feasibility of utilizing the available unused heat to generate additional electric power from a binary power plant.
Thermal property data for rocks and and minerals and unconsolidated (glacial) sediments units from within and outside the Illinois Basin were compiled for modeling heat transport in the subsurface.
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...
Binary Engineering production data for August 2014. Used to demonstrate the techno-economic feasibility of utilizing the available unused heat to generate additional electric power from a binary power plant.
Data includes characterization results for novel thermoelectric materials developed specifically for power generation from low temperature geothermal brines. Materials characterization data includes material density, thickness, resistance, Seebeck coefficient. This research was ca...
Presentation given to National Groundwater Association meeting on deep basin brines. This presentation discusses why produced waters are being observed, the importance of REE's, the study areas examined, the data collected, and the relationship between REE concentration and possib...
DOE Report of the binary cycle production data from Dixie Valley for January, 2014. Includes summarized data, operations, outages, and curtailments in order to support the techno-economic feasibility of utilizing the available unused heat to generate additional electric power from...
Rare earth element concentrations in the geothermal wells at the Puna geothermal field, Hawaii. Samples taken from geothermal wells KS-5, KS-6W, KS-9W, KS-14E, and KS-16N. Includes pH and concentrations for Cerium, Dysprosium, Erbium, Europium, Gadolinium, Holmium, Lanthanum, Lute...
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