Data

Mean random vitrinite reflectance (Ro) is the most widely accepted method to determine thermal maturity of coal and other sedimentary rocks. However, oil-immersion Ro of polished rock or kerogen samples is commonly lower than Ro values measured in samples from adjacent vitrinite-rich coals that have undergone the same level of thermal stress. So-called suppressed Ro values have also been observed

Raman spectroscopy was studied as a thermal maturity probe in a series of Upper Devonian Ohio Shale samples from the Appalachian Basin spanning from immature to dry gas conditions. Raman spectroscopy also was applied to samples spanning a similar thermal range created from 72-hour hydrous pyrolysis (HP) experiments of the Ohio Shale at temperatures from 300 to 360 Celcius and isothermal HP experim

The molecular composition of petroliferous organic matter and its composition evolution throughout thermal advance are key to understanding and insight into petroleum generation. This information is critical for comprehending hydrocarbon resources in unconventional reservoirs, as source rock organic matter is highly dispersed, in contact with the surrounding mineral matrix, and may be present as m

Subsurface microbial (biogenic) methane production is an important part of the global carbon cycle and has resulted in natural gas accumulations in many coal beds worldwide. Laboratory experiments indicate coal beds can act as natural geobioreactors and produce additional low carbon renewable natural gas with algal or yeast compounds, yet the effectiveness of these nutrients in situ are unknown. T

Bitumen reflectance data from a sample collected from the vertical EOG TATTOO D129 A28-F/094-O-10 ("Tattoo") well in the Horn River Basin, as part of the collection of a high-resolution geochemical data set.

To test reproducibility of vitrinite and solid bitumen reflectance measurements in mudrocks, an interlaboratory study (ILS) was conducted using six samples from United States unconventional petroleum systems. Samples selected from the Marcellus, Haynesville, Eagle Ford, Barnett, Bakken and Woodford are representative of resource plays currently under exploitation in North America. All samples are

Oil and gas (OG) wastewaters are commonly disposed of by underground injection and previous research showed that activities at a disposal facility in West Virginia affected stream biogeochemistry and sediment microbial communities downstream from the facility. Microorganisms can control the fate and transport of organic and inorganic components of OG wastewater highlighting the need to characteriz

This dataset was created to document the natural occurrence of helium and carbon dioxide throughout the United States. This dataset is sourced primarily from publicly available data from the Bureau of Land Management (BLM) Federal Helium Program and the U.S. Geological Survey (USGS). The Federal Helium Program, which originally began in 1925 under the U.S. Bureau of Mines (USBM) has analyzed thous

This data release contains 60 detrital zircon age spectra, based on U and Pb isotope ratio measurements for 9399 single grains. The samples are from Paleogene strata of the U.S. Gulf Coast. Of the 9399 single grain measurements, we recommend that 8640 yield ages that are suitable for construction of detrital zircon age spectra. Comments tagged to individual grains explain the reasoning for exclusi

In response to Executive Order 13817 of December 20, 2017, the U.S. Geological Survey (USGS) coordinated with the Bureau of Land Management (BLM) to identify 35 nonfuel minerals or mineral materials considered critical to the economic and national security of the United States (U.S.) (https://pubs.usgs.gov/of/2018/1021/ofr20181021.pdf). Acquiring information on possible domestic sources of these c

In response to Executive Order 13817 of December 20, 2017, the U.S. Geological Survey (USGS) coordinated with the Bureau of Land Management (BLM) to identify 35 nonfuel minerals or mineral materials considered critical to the economic and national security of the United States (U.S.) (https://pubs.usgs.gov/of/2018/1021/ofr20181021.pdf). Acquiring information on possible domestic sources of these c

As more hydrocarbon production from hydraulic fracturing and other methods produce large volumes of water, innovative methods must be explored for treatment and reuse of these waters. However, understanding the general water chemistry of these fluids is essential to providing the best treatment options optimized for each producing area. Machine learning algorithms can often be applied to datasets