TY  - JOUR
AV  - none
N1  - cited By 29
TI  - Fuzzy MCDM-based GIS model for subsea oil pipeline route optimization: An integrated approach
SP  - 961
PB  - Taylor and Francis Ltd.
SN  - 1064119X
EP  - 969
N2  - Proper 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 procedureâ??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 areaâ??in alignment with the preferences of majority of the experts. © 2017 Taylor & Francis.
IS  - 7
ID  - scholars8324
KW  - Argon; Artificial intelligence; Computer circuits; Decision making; Decision support systems; Fuzzy logic; Geographic information systems; Geological surveys; Membership functions; Offshore petroleum prospecting; Petroleum pipelines; Petroleum transportation; Pipelines
KW  -  Fuzzy linguistic variable; Hybrid decision support systems; MCDM; Multi-criteria decision making; Pipeline routing; SDSS; Spatial decision support systems; subsea
KW  -  Transportation routes
KW  -  fuzzy mathematics; GIS; integrated approach; multicriteria analysis; oil pipeline; optimization; routing; subsea production system
KW  -  Malaysia
Y1  - 2017///
JF  - Marine Georesources and Geotechnology
A1  - Balogun, A.-L.
A1  - Matori, A.-N.
A1  - Hamid-Mosaku, A.I.
A1  - Umar Lawal, D.
A1  - Ahmed Chandio, I.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010688277&doi=10.1080%2f1064119X.2016.1269247&partnerID=40&md5=ec0fe055fe5d84865af7e046470bd598
VL  - 35
ER  -