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Bedrock Geology of Alberta (GIS data, polygon features)

Description

This GIS dataset is part of a digital compilation of the bedrock geology of Alberta. It is one of the datasets used to produce Alberta Geological Survey (AGS) Map 600. This dataset represents the... More ≫

Description

This GIS dataset is part of a digital compilation of the bedrock geology of Alberta. It is one of the datasets used to produce Alberta Geological Survey (AGS) Map 600. This dataset represents the compilation of existing geological maps and original geological mapping by AGS staff. Mapping in support of the dataset included field observations and creating three-dimensional models of subsurface stratigraphy based on the interpretation of geophysical logs from oil and gas wells. Each three-dimensional formation surface was projected to a model of the bedrock surface, and the intersection formed the first approximation of the position of the geological contact at the base of the surficial deposits. We adjusted these preliminary contacts to honour outcrop data and the interpretation of the bedrock unit immediately below surficial deposits in individual wells. The data were created in geodatabase format and output for public distribution in shapefile format. AGS Open File Report 2013-02...

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Subsurface Stratigraphic Picks for the Base of the Belly River Group/Wapiti Formation, Alberta Plains (tabular data, tab delimited format)

Description

The dataset includes subsurface stratigraphic picks for the base of the Belly River Group/Wapiti Formation in the Alberta Plains (Townships 1 to 94, Ranges 1W4 to 14W6) made from wireline... More ≫

Description

The dataset includes subsurface stratigraphic picks for the base of the Belly River Group/Wapiti Formation in the Alberta Plains (Townships 1 to 94, Ranges 1W4 to 14W6) made from wireline geophysical well logs. In general, the pick was made at the base of the lowest sandstone bed (overlying the Pakowki or Lea Park Formation) that was overlain by coal. If coal is absent, the pick was made at the base of the first sandstone. We screened the well data to detect errors resulting from deviated wells, as well as incorrect ground and kelly bushing elevation data. We used statistical methods to identify local and regional statistical outliers, which were examined individually.

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