A hybrid GIS-assisted framework to integrate Dempster–Shafer theory of evidence and fuzzy sets in risk analysis: an application in hydrocarbon exploration
dc.contributor.author | Seraj, S. | |
dc.contributor.author | Delavar, M.R. | |
dc.contributor.author | Rezaee, Reza | |
dc.date.accessioned | 2022-11-02T05:57:12Z | |
dc.date.available | 2022-11-02T05:57:12Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Seraj, S. and Delavar, M.R. and Rezaee, R. 2021. A hybrid GIS-assisted framework to integrate Dempster–Shafer theory of evidence and fuzzy sets in risk analysis: an application in hydrocarbon exploration. Geocarto International. 36 (7): pp. 820-838. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/89584 | |
dc.identifier.doi | 10.1080/10106049.2019.1622602 | |
dc.description.abstract |
One of the most important reasons for the existence of geologic risk during the hydrocarbon exploration process is related to uncertainties in geospatial data and models employed for data fusion. This study proposes a geospatial information system-assisted approach integrated with soft computing methods to manage spatial uncertainties during the hydrocarbon exploration process. A framework was designed to illustrate the process of calculating the geologic risk interval of each hydrocarbon structure and its estimation of uncertainties. The model enhances the geologic risk analysis of a Dempster–Shafer data-driven method by a fuzzy logic approach. The resultant hybrid method showed high predictive power with the area under the success and predictive curves being 82.2 and 75.9%, respectively. According to the results, the proposed hybrid method has improved the quality of risk analysis. | |
dc.language | English | |
dc.publisher | TAYLOR & FRANCIS LTD | |
dc.subject | Science & Technology | |
dc.subject | Life Sciences & Biomedicine | |
dc.subject | Physical Sciences | |
dc.subject | Technology | |
dc.subject | Environmental Sciences | |
dc.subject | Geosciences, Multidisciplinary | |
dc.subject | Remote Sensing | |
dc.subject | Imaging Science & Photographic Technology | |
dc.subject | Environmental Sciences & Ecology | |
dc.subject | Geology | |
dc.subject | Geospatial information system | |
dc.subject | uncertainty | |
dc.subject | hydrocarbon exploration | |
dc.subject | Dempster-Shafer theory | |
dc.subject | fuzzy set | |
dc.subject | BELIEF FUNCTIONS | |
dc.subject | MINERAL PROSPECTIVITY | |
dc.subject | LOGISTIC-REGRESSION | |
dc.subject | EVOLUTION | |
dc.subject | MODELS | |
dc.subject | ZAGROS | |
dc.subject | PROVINCE | |
dc.subject | REGION | |
dc.title | A hybrid GIS-assisted framework to integrate Dempster–Shafer theory of evidence and fuzzy sets in risk analysis: an application in hydrocarbon exploration | |
dc.type | Journal Article | |
dcterms.source.volume | 36 | |
dcterms.source.number | 7 | |
dcterms.source.startPage | 820 | |
dcterms.source.endPage | 838 | |
dcterms.source.issn | 1010-6049 | |
dcterms.source.title | Geocarto International | |
dc.date.updated | 2022-11-02T05:57:12Z | |
curtin.department | WASM: Minerals, Energy and Chemical Engineering | |
curtin.accessStatus | Fulltext not available | |
curtin.faculty | Faculty of Science and Engineering | |
curtin.contributor.orcid | Rezaee, Reza [0000-0001-9342-8214] | |
curtin.contributor.researcherid | Rezaee, Reza [A-5965-2008] | |
dcterms.source.eissn | 1752-0762 | |
curtin.contributor.scopusauthorid | Rezaee, Reza [39062014600] |
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