Data

This data release contains data on historical water use, spatial land disturbance, and spatial aquifer disturbances related to in situ recovery (ISR) uranium extraction per unit of uranium produced. These data were compiled from published and publicly available references including journal articles, government reports, industry reports and company reporting documents for regulatory compliance and

This data release consists of three products relating to a 82 x 50 neuron Emergent Self-Organizing Map (ESOM), which describes the multivariate topology of reservoir temperature and geochemical data for 190 samples of produced and geothermal waters from across the United States. Variables included in the ESOM are coordinates derived from reservoir temperature and concentration of Sc, Nd, Pr, Tb, L

This data matrix contains the codebook vectors for a 82 x 50 neuron Emergent Self-Organizing Map which describes the multivariate topology of reservoir temperature and geochemical data for 190 samples of produced and geothermal waters from across the United States. Variables included are coordinates derived from reservoir temperature and concentration of Sc, Nd, Pr, Tb, Lu, Gd, Tm, Ce, Yb, Sm, Ho,

This dataset contains chemical and isotopic data from 39 produced water samples collected from sealed separators containing water from horizontal hydrocarbon wells in the lower Eagle Ford Group. The samples were collected from Lavaca and Gonzales counties, Texas in December, 2015. All wells had been in production for longer than 6 months and had produced more than 10,000 barrels (~160,000 liters)

For the open-file report we collected new coking coal samples from Alabama, Kentucky, Oklahoma and Arkansas and analyzed them for proximate and ultimate analyses; calorific value; sulfur forms; major-, minor-, and trace-element abundances; free swelling indices; Gieseler plasticity; ASTM dilatation; coal petrography, and several other tests [air-dry loss (ADL), residual moisture (RM), equilibrium

This data release contains apatite and zircon U/Pb and fission track data for six samples collected along the Fall Line of the southeastern United States, from Virginia to the Georgia-South Carolina border. The data resolve phases of rapid exhumational cooling in the Permo-Triassic, additional cooling in the Jurassic-Early Cretaceous and slower cooling since the middle of the Cretaceous. The data

In 2020, the U.S. Geological Survey (USGS) completed a probabilistic assessment of the volume of technically recoverable oil resources available if current carbon dioxide enhanced oil recovery (CO2-EOR) technologies were applied in amenable oil reservoirs underlying the onshore and State waters area of the conterminous United States. The assessment also includes estimates of the magnitude of CO2 s

This geodatabase contains geologic unit boundaries and asbestos site locations shown in "Carbon dioxide mineralization feasibility in the United States" (Blondes and others, 2019). Data was compiled from source material at a scale range of 1:100,000 to 1:5,000,000 and is not intended for any greater detail.

The most commonly used parameter for thermal maturity calibration in basin modelling is mean random vitrinite reflectance (Ro). However, Ro suppression, or lower than expected Ro, has been noted in samples containing a high proportion of liptinite macerals. This has been empirically demonstrated using hydrous pyrolysis experiments of artificial source rock containing various proportions of thermal

This work investigates the characterization of bituminite (amorphous sedimentary organic matter) in Kimmeridge Clay source rock via confocal laser canning microscopy (CLSM) and atomic force microscopy (AFM). As part of an International Committee for Coal and Organic Petrology working group, an immature (0.42% vitrinite reflectance), organic-rich (44.1 wt.% total organic carbon content) sample of K

This package contains a map surface that depicts the estimated spatial variation of conductive heat flow (mW/m?) in a portion of northern Nevada, the extent of the ?Nevada Machine Learning Project? (DE-EE0008762). It was generated using well locations that had an estimated heat flow value from a measured thermal gradient and thermal conductivity, mainly using data from Southern Methodist Universit

This package contains data in a portion of northern Nevada, the extent of the ?Nevada Machine Learning Project? (DE-EE0008762). Slip tendency (TS) and dilation tendency (TD) were calculated for the all the faults in the Nevada ML study area. TS is the ratio between the shear components of the stress tensor and the normal components of the stress tensor acting on a fault plane. TD is the ratio of a