Piceance Basin Oil Shale and Nahcolite Resources Databases
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A detailed description of the methodology employed to perform a geology-based assessment of in-place oil shale and nahcolite resources in the Piceance Basin of northwestern Colorado is presented here. Considerable advancements in computer and database technology since the previous oil shale assessment in 1989 provided the U.S. Geological Survey (USGS) assessment team with new tools to convert legacy data, store and manipulate new data, perform calculations, and quantify, report, and display the assessment results. Relational database and geographic information systems (GIS) software were used seamlessly to streamline the storage and manipulation of the data. A deterministic spatial interpolation method, the Radial Basis Function (RBF), was used to generate isopach and isoresource models in the GIS software, which provided a spatial statistics function to summarize the prediction models and determine the in-place oil shale and nahcolite resource totals.
Raster Dataset Model of Nahcolite Resources in the Piceance Basin, Colorado
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ESRI GRID raster datasets were created to display and quantify nahcolite resources for eight oil shale zones in the Piceance Basin, Colorado as part of a 2009 National Oil Shale and Nahcolite Assessment. The zones in descending order are: L-5, R-5, L-4, R-4, L-3, R-3, L-2, and R-2. Each raster cell represents a one-acre square of the land surface and contains values for nahcolite tonnage. The gridnames follow the naming convention *_n, where "*" can be replaced by the name of the oil shale zone.
Raster Dataset Model of Nahcolite Resources in the Piceance Basin, Colorado
공공데이터포털
ESRI GRID raster datasets were created to display and quantify nahcolite resources for eight oil shale zones in the Piceance Basin, Colorado as part of a 2009 National Oil Shale and Nahcolite Assessment. The zones in descending order are: L-5, R-5, L-4, R-4, L-3, R-3, L-2, and R-2. Each raster cell represents a one-acre square of the land surface and contains values for nahcolite tonnage. The gridnames follow the naming convention *_n, where "*" can be replaced by the name of the oil shale zone.
Raster Dataset Model of Oil Shale Resources in the Piceance Basin, Colorado
공공데이터포털
ESRI GRID raster datasets were created to display and quantify oil shale resources for seventeen zones in the Piceance Basin, Colorado as part of a 2009 National Oil Shale Assessment. The oil shale zones in descending order are: Bed 44, A Groove, Mahogany Zone, B Groove, R-6, L-5, R-5, L-4, R-4, L-3, R-3, L-2, R-2, L-1, R-1, L-0, and R-0. Each raster cell represents a one-acre square of the land surface and contains values for either oil yield in barrels per acre, gallons per ton, or isopach thickness, in feet, as defined by the grid name: *_b (barrels per acre), *_g (gallons per ton), and *_i (isopach thickness) where "*" can be replaced by the name of the oil shale zone.
Raster Dataset Model of Oil Shale Resources in the Piceance Basin, Colorado
공공데이터포털
ESRI GRID raster datasets were created to display and quantify oil shale resources for seventeen zones in the Piceance Basin, Colorado as part of a 2009 National Oil Shale Assessment. The oil shale zones in descending order are: Bed 44, A Groove, Mahogany Zone, B Groove, R-6, L-5, R-5, L-4, R-4, L-3, R-3, L-2, R-2, L-1, R-1, L-0, and R-0. Each raster cell represents a one-acre square of the land surface and contains values for either oil yield in barrels per acre, gallons per ton, or isopach thickness, in feet, as defined by the grid name: *_b (barrels per acre), *_g (gallons per ton), and *_i (isopach thickness) where "*" can be replaced by the name of the oil shale zone.
National Assessment of Oil and Gas Project - Williston Basin Province (031) Tabular Datasets
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This dataset comprises a collection of tabular data and graphical images supporting the U.S. Geological Survey's National Oil and Gas Assessment (NOGA) for Williston Basin Province (031). The dataset includes detailed information on crude oil and natural gas production, including volumetric and descriptive data such as cumulative production, remaining reserves, and known recoverable volumes. Historical data covering field-discovery dates, well completion dates, exploration objectives, and well depths are also provided. Data sources include commercial databases along with supplemental information from various federal and state agencies. No proprietary data is included in this. The dataset is presented in multiple formats, including .pdf files for graphical images and .tab files for tabular data, encompassing eco-regional, federal land, ownership parcels, and state-wise data distributions.