Filters: Tags: CBM (X)5 results (66ms)
A coal/CBM database was implemented by the Alberta Geological Survey to capture and manage information related to coalbed methane (CBM). The database is a compilation of data from many different sources and contains information on 7923 wells (15,200 formation picks; 37,357 coal picks; 495 coal analyses; and 363 vitrinite reflectance measurements). This is a subset of those wells that fall inside the coal zone.
The Wyoming Energy Resources Information Clearinghouse site is intended to be a clearinghouse of information about Energy in and around the state of Wyoming.
Microbial and chemical factors influencing methane production in laboratory incubations of low-rank subsurface coals
Lignite and subbituminous coals were investigated for their ability to support microbial methane production in laboratory incubations. Results show that naturally-occurring microorganisms associated with the coals produced substantial quantities of methane, although the factors influencing this process were variable among different samples tested. Methanogenic microbes in two coals from the Powder River Basin, Wyoming, USA, produced 140.5–374.6 mL CH4/kg ((4.5–12.0 standard cubic feet (scf)/ton) in response to an amendment of H2/CO2. The addition of high concentrations (5–10 mM) of acetate did not support substantive methane production under the laboratory conditions. However, acetate accumulated in control incubations...
The Coalbed Methane-Demineralization Treatment Cost (CBM-DTC) toolbox has been developed to predict the costs associated with treating Powder River Basin (PRB) coalbed methane (CBM) waters based on influent water characteristics, effluent water requirements, and the capabilities of selected technologies. The costs predicted by the toolbox should not be considered to be the exact costs, but approximations.
This dataset assesses cumulative anthropogenic disturbance impacts on the landscape in Wyoming, improving methodology outlined by Copeland et al. (2007). We gathered known datasets that represented the impacts of human activities within the state of Wyoming. The following dataset layers were combined into one single raster grid: agricultural lands, mines, oil and gas pipelines, oil and gas wells, power lines, residential development, roads, and wind turbines. We assigned weights, cutoff distance of impact, and decay functions to each dataset layer (e.g., roads, etc.) to assign a cost surface value to each dataset. The value is derived from the weighted distance of the impact; the assigned value diminishes as distance...