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dc.contributor.authorSeraj, S.
dc.contributor.authorDelavar, M.R.
dc.contributor.authorRezaee, Reza
dc.date.accessioned2022-11-02T05:57:12Z
dc.date.available2022-11-02T05:57:12Z
dc.date.issued2021
dc.identifier.citationSeraj, 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.urihttp://hdl.handle.net/20.500.11937/89584
dc.identifier.doi10.1080/10106049.2019.1622602
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.languageEnglish
dc.publisherTAYLOR & FRANCIS LTD
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectPhysical Sciences
dc.subjectTechnology
dc.subjectEnvironmental Sciences
dc.subjectGeosciences, Multidisciplinary
dc.subjectRemote Sensing
dc.subjectImaging Science & Photographic Technology
dc.subjectEnvironmental Sciences & Ecology
dc.subjectGeology
dc.subjectGeospatial information system
dc.subjectuncertainty
dc.subjecthydrocarbon exploration
dc.subjectDempster-Shafer theory
dc.subjectfuzzy set
dc.subjectBELIEF FUNCTIONS
dc.subjectMINERAL PROSPECTIVITY
dc.subjectLOGISTIC-REGRESSION
dc.subjectEVOLUTION
dc.subjectMODELS
dc.subjectZAGROS
dc.subjectPROVINCE
dc.subjectREGION
dc.titleA hybrid GIS-assisted framework to integrate Dempster–Shafer theory of evidence and fuzzy sets in risk analysis: an application in hydrocarbon exploration
dc.typeJournal Article
dcterms.source.volume36
dcterms.source.number7
dcterms.source.startPage820
dcterms.source.endPage838
dcterms.source.issn1010-6049
dcterms.source.titleGeocarto International
dc.date.updated2022-11-02T05:57:12Z
curtin.departmentWASM: Minerals, Energy and Chemical Engineering
curtin.accessStatusFulltext not available
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidRezaee, Reza [0000-0001-9342-8214]
curtin.contributor.researcheridRezaee, Reza [A-5965-2008]
dcterms.source.eissn1752-0762
curtin.contributor.scopusauthoridRezaee, Reza [39062014600]


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