Predictive modeling of sandstone reservoir distribution in the SW Scotian Basin

x, 197 leaves : colour illustrations, colour maps 29 cm Includes abstract and appendices. Includes bibliographical references (leaves 110-125). Forward stratigraphic modeling has been performed on the SW Scotian Basin in order to understand the geological evolution, sediment distribution, and deep-w...

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Main Author: Nagle, Justin
Other Authors: Pe-Piper, Georgia
Format: Text
Language:English
Published: Halifax, N.S. : Saint Mary's University 2020
Subjects:
Online Access:http://library2.smu.ca/xmlui/handle/01/29374
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spelling ftstmarysunivca:oai:library2:01/29374 2023-05-15T17:29:54+02:00 Predictive modeling of sandstone reservoir distribution in the SW Scotian Basin Nagle, Justin Pe-Piper, Georgia 2020 application/pdf http://library2.smu.ca/xmlui/handle/01/29374 en eng Halifax, N.S. : Saint Mary's University QE615.5 N55 N34 2020 http://library2.smu.ca/xmlui/handle/01/29374 QE615.5 N55 Sedimentary basins-- North Atlantic Ocean Sedimentation and deposition -- North Atlantic Ocean -- Mathematical models Geology Stratigraphic -- Jurassic Geological modeling Text 2020 ftstmarysunivca 2022-05-13T05:45:43Z x, 197 leaves : colour illustrations, colour maps 29 cm Includes abstract and appendices. Includes bibliographical references (leaves 110-125). Forward stratigraphic modeling has been performed on the SW Scotian Basin in order to understand the geological evolution, sediment distribution, and deep-water clastic reservoir quality in the area. The SW Scotian Basin is hampered by complex salt tectonics, sparse seismic data, and its location on a transform jog. In all simulated models, sand is typically found on the shelf behind the carbonate reef front, and progrades into deep-water in the areas of the Shelburne Delta and canyon system near Mohawk B-93. Sensitivity analysis indicates that the main parameters controlling sand distribution in the basin are the geographic location of the sources, the water discharge volume of each source, and the diffusion coefficients for sand. Nevertheless, the best place to find deep-water clastic sediments is immediately down-dip of the Shelburne Delta, close to the shelf edge. Text North Atlantic Saint Mary's University, Halifax: Institutional Repository
institution Open Polar
collection Saint Mary's University, Halifax: Institutional Repository
op_collection_id ftstmarysunivca
language English
topic QE615.5 N55
Sedimentary basins-- North Atlantic Ocean
Sedimentation and deposition -- North Atlantic Ocean -- Mathematical models
Geology
Stratigraphic -- Jurassic
Geological modeling
spellingShingle QE615.5 N55
Sedimentary basins-- North Atlantic Ocean
Sedimentation and deposition -- North Atlantic Ocean -- Mathematical models
Geology
Stratigraphic -- Jurassic
Geological modeling
Nagle, Justin
Predictive modeling of sandstone reservoir distribution in the SW Scotian Basin
topic_facet QE615.5 N55
Sedimentary basins-- North Atlantic Ocean
Sedimentation and deposition -- North Atlantic Ocean -- Mathematical models
Geology
Stratigraphic -- Jurassic
Geological modeling
description x, 197 leaves : colour illustrations, colour maps 29 cm Includes abstract and appendices. Includes bibliographical references (leaves 110-125). Forward stratigraphic modeling has been performed on the SW Scotian Basin in order to understand the geological evolution, sediment distribution, and deep-water clastic reservoir quality in the area. The SW Scotian Basin is hampered by complex salt tectonics, sparse seismic data, and its location on a transform jog. In all simulated models, sand is typically found on the shelf behind the carbonate reef front, and progrades into deep-water in the areas of the Shelburne Delta and canyon system near Mohawk B-93. Sensitivity analysis indicates that the main parameters controlling sand distribution in the basin are the geographic location of the sources, the water discharge volume of each source, and the diffusion coefficients for sand. Nevertheless, the best place to find deep-water clastic sediments is immediately down-dip of the Shelburne Delta, close to the shelf edge.
author2 Pe-Piper, Georgia
format Text
author Nagle, Justin
author_facet Nagle, Justin
author_sort Nagle, Justin
title Predictive modeling of sandstone reservoir distribution in the SW Scotian Basin
title_short Predictive modeling of sandstone reservoir distribution in the SW Scotian Basin
title_full Predictive modeling of sandstone reservoir distribution in the SW Scotian Basin
title_fullStr Predictive modeling of sandstone reservoir distribution in the SW Scotian Basin
title_full_unstemmed Predictive modeling of sandstone reservoir distribution in the SW Scotian Basin
title_sort predictive modeling of sandstone reservoir distribution in the sw scotian basin
publisher Halifax, N.S. : Saint Mary's University
publishDate 2020
url http://library2.smu.ca/xmlui/handle/01/29374
genre North Atlantic
genre_facet North Atlantic
op_relation QE615.5 N55 N34 2020
http://library2.smu.ca/xmlui/handle/01/29374
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