National Geologic Carbon Dioxide (CO2) Sequestration Assessment Project: Bighorn Basin (C5034) Well Density

Drilling-density cell maps show the number of wells that have been drilled into the storage assessment unit (SAU). Each 1-square-mile cell has a count for the number of unique well boreholes drilled into the SAU. For a given sedimentary basin, the USGS National Geologic CO2 Sequestration Assessment Project identifies SAUs containing the potential for storage and sequestration of carbon dioxide. Proprietary well header data from IHS ENERDEQ through 2010 were queried to determine which wells were drilled into specific SAUs. The coordinates of wells are proprietary and cannot be released; however, counts of the number of wells per square mile are presented in the well drilling density data layer.

Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Bighorn Basin, C503401 = Bighorn Basin, C50340101 = Tensleep Sandstone, C50340102 = Tensleep Sandstone Deep, C50340103 = Ervay Member, All tags... C50340104 = Ervay Member Deep, C50340105 = Crow Mountain Sandstone, C50340106 = Crow Mountain Sandstone Deep, C50340107 = Cloverly Formation, C50340108 = Cloverly Formation Deep, C50340109 = Muddy Sandstone, C50340110 = Muddy Sandstone Deep, C50340111 = Frontier Sandstone, C50340112 = Frontier Sandstone Deep, CO2 Storage Resources, Carbon dioxide, Cell Map, Drilling Density, Earth Science, Geology, Geoscientific Information, Montana, National Geologic Carbon Dioxide (CO2) Sequestration Assessment, Natural Resources, Resource Assessment, U.S. Geological Survey, U.S. Geological Survey World Energy Region 5, US30 = Montana, US56 = Wyoming, USGS, USGS Science Data Catalog (SDC), USGS World Energy Region 5, United States, Well Density, Wyoming, co2sequestration, Fewer tags

archive_raster_inputs

The 'archive_raster_inputs.zip' data bundle contains '_archive_raster_inputs_XX.tif' and archive_raster_inputs_XX.xml where XX is the name of 1 of 8 input rasters that were created and used to generate these model results. The original layers and sources used to produce each predictor, as well as processing steps, are specified in each .xml file.

Tags: Colorado, Kansas, New Mexico, Oklahoma, Raster, All tags... SAHM, Software for Assisted Habitat Modeling, Southern Great Plains, Species Distribution modeling, Texas, VisTrails, Well Density, biota, conservation planning, habitat suitability, prairie grouse, species distribution modeling, Fewer tags