Title | A probability-based method to generate qualitative petroleum potential maps: adapted for and illustrated
using ArcGIS |
Download | Downloads |
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Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
Author | Lister, C J; King, H M; Atkinson, E A ; Kung, L E ; Nairn, R |
Source | Geological Survey of Canada, Open File 8404, 2018, 50 pages, https://doi.org/10.4095/311225 Open Access |
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Year | 2018 |
Publisher | Natural Resources Canada |
Document | open file |
Lang. | English |
Media | on-line; digital |
File format | pdf |
Subjects | fossil fuels; mathematical and computational geology; petroleum resources; hydrocarbon potential; resource estimation; mapping techniques; statistical methods; offshore areas; software; reservoir rocks;
source rocks; traps; Methodology; Seals |
Illustrations | schematic representations; sketch maps; flow diagrams; location maps; geoscientific sketch maps; screen captures; charts; tables |
Program | Geoscience for New Energy Supply (GNES) Program Coordination |
Released | 2018 10 12 |
Summary | (Plain Language Summary, not published) This report describes a systematic, probabilistic method grounded in accepted scientific practices to infer undiscovered petroleum resources. Its primary
purpose was to expedite creation of petroleum resource summary reports required to be supplied by NRCan to the Department of Fisheries and Oceans (DFO) or Parks Canada (PCA) as part of their process to environmentally protect areas of Canada¿s marine
and coastal waters. It is innovative in that it produces a spatial overlay representing relative levels of hydrocarbon discovery success with a subjective volume estimate (qualitative), rather than predicting volumes of potentially discoverable
petroleum (quantitative), which is ideal, but time consuming. The method keeps results comparable when used across different geographic areas and is the current standard for qualitative-type petroleum resource assessments done by the GSC for DFO and
PCA. It allows for efficient expansion into quantitative petroleum estimates, if and when needed. |
GEOSCAN ID | 311225 |
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