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 gravity and magnetics data and products generated for the Nevada Machine Learning (NVML) project (DE-FOA-0001956). Data products contained in this release consist of grids and vector data. Grids include: primary anomaly maps (isostatic and PSG), match-filtered maps, horizontal gradient (HG) maps, confidence maps, and maps showing density of specific key structural features. T

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

This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project (DE-FOA-0001956), with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geophysics, heat flow, and fault dilation and slip tendencies) that cover a large portion of northern Nevad

Data were collected to monitor geochemistry before and after an injection designed to stimulate microbial methanogenesis in the shallow Flowers-Goodale coal bed, near Birney in southeastern Montana. Waters from wells completed in the Flowers-Goodale, Nance, Knobloch, and Terret coalbeds at the Birney Test Site were sampled. Geochemical characterization of the water included non-purgeable dissolved

In order to determine the innate microbial community of shale gas reservoirs and how they are impacted by hydraulic fracturing, this study analyzed biomass collected from produced water and rock from hydraulically fractured wells in the Utica Shale. The samples include rock chips from a drill core from one Utica well, produced water from that same Utica well, and produced water from 12 different U

This dataset contains compositional data on 17 produced water samples from hydraulically fractured unconventional oil wells completed in the Middle Bakken and Three Forks Formations. The oil wells are located in five different wellfields across the Williston Basin. Specific gravity, conductivity, temperature, pH and oxidation-reduction potential for each sample was measured in the field. Ions (B,

The nanoscale molecular composition of kerogen is a challenging parameter to characterize given the chemical and structural complexity exhibited by this important biopolymer. However, kerogen composition will strongly impact its reactivity and so is a critical parameter to understand petroleum generation processes during kerogen catagenesis. The recent advent of tip-enhanced analytical methods, su