Subsurface Stratigraphic Picks for the Top of the Milk River 'shoulder', Alberta Plains (tabular data, tab delimited format, to accompany Open File Report 2013-17)

Subsurface Stratigraphic Picks for the Top of the Milk River 'shoulder', Alberta Plains (tabular data, tab delimited format, to accompany Open File Report 2013-17) The dataset includes subsurface stratigraphic picks of the Milk River 'shoulder' in the Alberta Plains (Townships 1 to 73, Ranges 1W4 to 2W6) made from wireline geophysical well logs. The Milk River 'shoulder' is an informal term often used to refer to a distinctive 'shoulder' (deflection) on resistivity, sonic, density, and porosity logs. The Milk River 'shoulder' corresponds to the top of the Milk River Formation in southernmost Alberta, where it represents juxtaposition between paralic deposits of the underlying Deadhorse Coulee Member of the Milk River Formation and overlying marine shale of the Pakowki Formation. It is characterized by a leftward deflection (decreasing resistivity) upwards across the contact, forming the distinctive 'shoulder signature'. To the north, the Milk River 'shoulder' represents the boundary between the Alderson Member (lower Lea Park Formation) and the upper Lea Park Formation (Pakowki equivalent). In these areas, silty sands and mudstones of the Alderson Member are overlain by shales of the upper Lea Park Formation. Well data were screened 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 we examined individually. 2024-05-02 Government of Alberta AGS-Info@aer.ca Form DescriptorsNature and EnvironmentScience and Technology72E72L72M73D73E73L73M82G82H82I82J82N82O82P83A83B83C83D83E83F83G83H83I83J83K83L83M83N83O83PALBERTAALBERTA-PLAINSBEDROCK-GEOLOGYCANADAGEOSCIENTIFICINFORMATIONLEA-PARK-FORMATIONMAPPINGMILK-RIVER-FORMATIONPAKOWKI-FORMATIONSTRATIGRAPHIC-PICKSSTRATIGRAPHYSUBSURFACE-MAPPINGUPPER-CRETACEOUSWELL-LOG-SIGNATUREGovernment information Subsurface Stratigraphic Picks for the Top of the Milk River 'shoulder', Alberta Plains (tabular data, tab delimited format, to accompany Open File Report 2013-17) - (HTML)HTML https://geodiscover.alberta.ca/geoportal/rest/metadata/item/79e4b0bfb66f407d91dff8747882be1e/html Original metadata (https://open.alberta.ca/opendata)HTML https://open.alberta.ca/opendata/31ee3af2-9449-4570-b307-2b571e4b7dd8 Subsurface Stratigraphic Picks for the Top of the Milk River 'shoulder', Alberta Plains (tabular data, tab delimited format, to accompany Open File Report 2013-17) - (XLS)XLS https://static.ags.aer.ca/files/document/DIG/DIG_2013_0025.zip Subsurface Stratigraphic Picks for the Top of the Milk River 'shoulder', Alberta Plains (tabular data, tab delimited format, to accompany Open File Report 2013-17) - (XML)XML https://geodiscover.alberta.ca/geoportal/rest/metadata/item/79e4b0bfb66f407d91dff8747882be1e/xml

The dataset includes subsurface stratigraphic picks of the Milk River 'shoulder' in the Alberta Plains (Townships 1 to 73, Ranges 1W4 to 2W6) made from wireline geophysical well logs. The Milk River 'shoulder' is an informal term often used to refer to a distinctive 'shoulder' (deflection) on resistivity, sonic, density, and porosity logs. The Milk River 'shoulder' corresponds to the top of the Milk River Formation in southernmost Alberta, where it represents juxtaposition between paralic deposits of the underlying Deadhorse Coulee Member of the Milk River Formation and overlying marine shale of the Pakowki Formation. It is characterized by a leftward deflection (decreasing resistivity) upwards across the contact, forming the distinctive 'shoulder signature'. To the north, the Milk River 'shoulder' represents the boundary between the Alderson Member (lower Lea Park Formation) and the upper Lea Park Formation (Pakowki equivalent). In these areas, silty sands and mudstones of the Alderson Member are overlain by shales of the upper Lea Park Formation. Well data were screened 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 we examined individually.

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