Fuzzy MCDM-based GIS model for subsea oil pipeline route optimization: An integrated approach

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dc.contributor.authorBalogun, A-L.
dc.contributor.authorMatori, A-N.
dc.contributor.authorHamid-Mosaku, I.A.
dc.contributor.authorUmar Lawal, D.
dc.contributor.authorAhmed Chandio, I.
dc.date.accessioned2023-11-13T07:57:05Z
dc.date.available2023-11-13T07:57:05Z
dc.date.issued2017
dc.descriptionBalogun et al_Fuzzy MCDM-based GIS model for subsea oil pipeline route optimization: An integrated approachen_US
dc.description.abstractProper pipeline route selection is an integral component of a typical oil exploration and transportation project. Improperly selected routes could have severe consequences including pipe failures, oil spillage, and environmental disasters. Consequently, technologies like geographic information systems (GIS) are increasingly being used to facilitate the oil pipeline route selection procedure—especially for onshore routing projects. Surprisingly, not much has been documented on the application of GIS to offshore pipeline routing. With recent discoveries on the merits of offshore oil exploration, it is necessary to extend the analytical capabilities of GIS to the unique offshore domain. However, concerns have been raised regarding the limitations of GIS in accurately prioritizing diverse selection criteria in typical multi-criteria decision-making (MCDM) problems like route selection. Consequently, this paper addresses the offshore/subsea pipeline routing constraint using a hybrid decision support system (DSS), which integrates a GIS and fuzzy logic-based approximate reasoning (AR) models for optimal performance. The resultant spatial decision support system (SDSS) was successfully applied to a case study in Malaysia. The AR algorithm calculated the significance level of the multiple criteria using various fuzzy linguistic variables and membership functions. The aggregated priority ranking from different pipeline routing experts showed that the overall influence of the environmental criteria (61.4%) significantly exceeded that of other equally important criteria in the study area. These rankings were inputted into the SDSS to simulate various probable routes. Final results accurately highlighted an optimal route, which places a premium on the protection of environmental features in the subsea study area—in alignment with the preferences of majority of the experts.en_US
dc.description.sponsorshipNoneen_US
dc.identifier.citationBalogun, Abdul-Lateef, Matori, Abdul-Nasir, Hamid-Mosaku Adekunle Isa, Umar Lawal, Dano & Ahmed Chandio, Imtiaz (2017). Fuzzy MCDM-based GIS model for subsea oil pipeline route optimization: An integrated approach. Marine Georesources & Geotechnology. 35 (7): 961-969.
dc.identifier.issn1064-119X Online ISSN: 1521-0618
dc.identifier.otherDOI/10.1080/1064119X.2016.1269247?journalCode=umgt20
dc.identifier.urihttps://ir.unilag.edu.ng/handle/123456789/12666
dc.language.isoen
dc.publisherTaylor and Francisen_US
dc.relation.ispartofseriesAn integrated approach. Marine Georesources & Geotechnology; 35(7)
dc.subjectAR,fuzzy,logic,GIS,MCDM,pipeline routing,SDSS,subseaen_US
dc.titleFuzzy MCDM-based GIS model for subsea oil pipeline route optimization: An integrated approachen_US
dc.typeArticle
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