Characterizing the spatial distribution of an undiscovered hydrocarbon resource: the Keg River Reef play, Western Canada Sedimentary Basin

Research Article| June 01, 2000 Characterizing the spatial distribution of an undiscovered hydrocarbon resource: the Keg River Reef play, Western Canada Sedimentary Basin Zhuoheng Chen; Zhuoheng Chen Geological Survey of Canada, 3033- 33 Street NW, Calgary AB, T2L2A7 Search for other works by this author on: GSW Google Scholar Kirk Osadetz; Kirk Osadetz Geological Survey of Canada, 3033- 33 Street NW, Calgary AB, T2L2A7 Search for other works by this author on: GSW Google Scholar Haiyu Gao; Haiyu Gao Geological Survey of Canada, 3033- 33 Street NW, Calgary AB, T2L2A7 Search for other works by this author on: GSW Google Scholar Peter Hannigan; Peter Hannigan Geological Survey of Canada, 3033- 33 Street NW, Calgary AB, T2L2A7 Search for other works by this author on: GSW Google Scholar Cameron Watson Cameron Watson Geological Survey of Canada, 3033- 33 Street NW, Calgary AB, T2L2A7 Search for other works by this author on: GSW Google Scholar Author and Article Information Zhuoheng Chen Geological Survey of Canada, 3033- 33 Street NW, Calgary AB, T2L2A7 Kirk Osadetz Geological Survey of Canada, 3033- 33 Street NW, Calgary AB, T2L2A7 Haiyu Gao Geological Survey of Canada, 3033- 33 Street NW, Calgary AB, T2L2A7 Peter Hannigan Geological Survey of Canada, 3033- 33 Street NW, Calgary AB, T2L2A7 Cameron Watson Geological Survey of Canada, 3033- 33 Street NW, Calgary AB, T2L2A7 Publisher: Canadian Society of Petroleum Geologists Received: 28 May 1999 Accepted: 02 Sep 1999 First Online: 02 Mar 2017 Online ISSN: 2368-0261 Print ISSN: 0007-4802 © The Society of Canadian Petroleum Geologists Bulletin of Canadian Petroleum Geology (2000) 48 (2): 150–163. https://doi.org/10.2113/48.2.150 Article history Received: 28 May 1999 Accepted: 02 Sep 1999 First Online: 02 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Zhuoheng Chen, Kirk Osadetz, Haiyu Gao, Peter Hannigan, Cameron Watson; Characterizing the spatial distribution of an undiscovered hydrocarbon resource: the Keg River Reef play, Western Canada Sedimentary Basin. Bulletin of Canadian Petroleum Geology 2000;; 48 (2): 150–163. doi: https://doi.org/10.2113/48.2.150 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyBulletin of Canadian Petroleum Geology Search Advanced Search Abstract Specific maps constructed using integrated exploration history data, geological play characteristics and seismic prospecting activity are useful for both petroleum exploration and resource management. Geoscience data can be combined with exploration results to predict the possible locations and sizes of undiscovered pools in the Middle Devonian Keg River Reef play. The combination of all available information gives a better estimate of petroleum occurrence than any individual data set. A prior probability of hydrocarbon occurrence, estimated using exploration results, can be updated using key geological elements that reflect factors controlling pools locations and sizes. The analysis of geophysical survey information and the consideration of exhaustion of undiscovered potential by successful and unsuccessful exploration wells provides a realistic volumetric parameter that illustrates the space available for undiscovered pools. The construction of a favorability map, using a combination of the posterior probability map of hydrocarbon occurrence and the volumetric variable, produces a risk-weighted reservoir space that outlines the possible locations and sizes of undiscovered petroleum resources in a play. The favorability map, itself a useful tool for both hydrocarbon exploration and petroleum resource management, provides a meaningful method for describing the spatial distribution of undiscovered pools and fields predicted using other stochastic resource assessment methods. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.