Quick Search:    advanced search

GSW Home   GeoRef Home   My GSW Alerts   Contact GSW   About GSW   Journals List   Help

This Article Figures Only Full Text Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in ISI Web of Science Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via ISI Web of Science (1) Citing Articles via Google Scholar Google Scholar Articles by Chen, Z. Articles by Osadetz, K. G. Search for Related Content GeoRef GeoRef Citation

Geological risk mapping and prospect evaluation using multivariate and Bayesian statistical methods, western Sverdrup Basin of Canada

¹ Geological Survey of Canada, 3303-33rd Street, NW, Calgary, Alberta, Canada T2L 2A7; zchen{at}nrcan.gc.ca
² Geological Survey of Canada, 3303-33rd Street, NW, Calgary, Alberta, Canada T2L 2A7; kosadetz{at}nrcan.gc.ca

Zhuoheng Chen, a research scientist at the Geological Survey of Canada (GSC), obtained his Ph.D. from the Norwegian University of Science and Technology in 1993 and held a position as an associate professor at China University of Petroleum (Beijing) before jointing GSC in 1998. He has developed methods for resource assessment and exploration-risk evaluation. His research interests include petroleum resource assessment (methods and applications), basin analysis, and gas-hydrate studies.

Kirk graduated from the University of Toronto (B.Sc., 1978; M.Sc., 1983). He manages the Earth Science Sector Gas Hydrates Fuel of the Future Program and is head of the Laboratory Services Subdivision at the GSC in Calgary. He is active regarding petroleum resource evaluation and has research interests in gas hydrates, tectonics, and thermochronology. He worked previously at Gulf Canada Resources Inc. and PetroCanada Resources Inc. in Calgary.

The current practice of geological risk evaluation at the play level involves substantial subjectivity and rarely considers the spatial correlations among the identified prospects. A quantitative procedure using multivariate and Bayesian statistical methods is proposed, which treats exploration-risk evaluation as a two-group classification, to provide a more objective and reproducible result. The spatial correlation among the identified prospects is considered because the proposed approach is applied to the entire evaluation area. The exploration-risk evaluation of the Upper Triassic–Lower Jurassic Heiberg Group structural gas play in western Sverdrup Basin, Arctic Canada, illustrates the method.