A fuzzy multi-criteria decision support system for evaluating subsea oil pipeline routing criteria in East Malaysia

Selecting suitable pipeline routes is essential to the success of any oil exploration and transportation project, and proper prioritization of the diverse routing criteria is an integral component of the route selection endeavor. However, recent researches reveal that accurate prioritization of routing criteria, particularly in an offshore/subsea environment, has not been sufficiently addressed. With global attention rapidly expanding from terrestrial exploration to offshore and subsea oil pipeline operations, this study addresses the offshore pipeline routing ranking concerns. A hybrid multi-criteria decision support system was developed by integrating fuzzy logic-based approximate reasoning (AR) and Analytic Hierarchy Process (AHP) mathematical models. Twelve diverse criteria and sub-criteria in an oil-rich basin offshore east Malaysia were examined to determine their impact in the selection of an optimal pipeline route in the area. These were subsequently classified into three broad categories: economic, engineering, and environmental routing criteria. The integrated system (AR-AHP) was used to determine the relative importance of the criteria using different fuzzy membership functions and linguistic variables. Final results showed that the environmental criteria in the study area have the highest aggregated priority and influence (61.4 %) followed by the engineering criteria (27.6 %) and the economic criteria (11 %) datasets, respectively. This study thus establishes the fact that preservation of environmental factors is superior to the other strategic criteria in the marine study area.

[1]  Sushil Kumar,et al.  Analytic hierarchy process: An overview of applications , 2006, Eur. J. Oper. Res..

[2]  D. Montemurro,et al.  GIS-BASED PROCESS HELPS TRANSCANADA SELECT BEST ROUTE FOR EXPANSION LINE , 1998 .

[3]  V. M. Rao Tummala,et al.  An application of the AHP in vendor selection of a telecommunications system , 2001 .

[4]  Adli Mustafa,et al.  Group decision via usage of analytic hierarchy process and preference aggregation method (Keputusan berkumpulan menggunakan proses hierarki analisis dan kaedah pengagregatan keutamaan) , 2012 .

[5]  Saroj Koul,et al.  DYNAMIC VENDOR SELECTION: A FUZZY AHP APPROACH , 2012 .

[6]  Reza Zanjirani Farahani,et al.  Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives , 2010, Appl. Soft Comput..

[7]  Panos M. Pardalos,et al.  Handbook of Multicriteria Analysis , 2010 .

[8]  William Ho,et al.  Integrated analytic hierarchy process and its applications - A literature review , 2008, Eur. J. Oper. Res..

[9]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[10]  D. Dubois,et al.  Operations on fuzzy numbers , 1978 .

[11]  Cengiz Kahraman,et al.  Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments , 2008 .

[12]  D. Dubois,et al.  Fuzzy real algebra: Some results , 1979 .

[13]  Pece V. Gorsevski,et al.  Regional non-hazardous landfill site selection by integrating fuzzy logic, AHP and geographic information systems , 2012, Environmental Earth Sciences.

[14]  Evangelos Triantaphyllou,et al.  Multi-criteria Decision Making Methods: A Comparative Study , 2000 .

[15]  C. Campbell.  DEPLETION PATTERNS SHOW CHANGE DUE DUE FOR PRODUCTION OF CONVENTIONAL OIL , 1997 .

[16]  Ching-Chow Yang,et al.  KEY QUALITY PERFORMANCE EVALUATION USING FUZZY AHP , 2004 .

[17]  M. Ramachandran,et al.  Application of multi-criteria decision making to sustainable energy planning--A review , 2004 .

[18]  Jianhua Wan,et al.  The application of AHP in oil and gas pipeline route selection , 2011, 2011 19th International Conference on Geoinformatics.

[19]  George Klir,et al.  Basic concepts and history of fuzzy set theory and fuzzy logic , 1998 .

[20]  Simon Bonini.  Is LNG a global commodity...yet , 2011 .

[21]  Evangelos Triantaphyllou,et al.  Multi-Criteria Decision Making: An Operations Research Approach , 1998 .

[22]  H. Carter.  Fuzzy Sets and Systems — Theory and Applications , 1982 .

[23]  Rita Almeida Ribeiro.  Fuzzy multiple attribute decision making: A review and new preference elicitation techniques , 1996, Fuzzy Sets Syst..

[24]  Minatour Yasser,et al.  Earth dam site selection using the analytic hierarchy process (AHP): a case study in the west of Iran , 2013, Arabian Journal of Geosciences.

[25]  R. K. Singh,et al.  A fuzzy TOPSIS based approach for e-sourcing , 2011, Eng. Appl. Artif. Intell..

[26]  Timothy L. McDaniels,et al.  Democratizing Risk Management: Successful Public Involvement in Local Water Management Decisions , 1999 .

[27]  Steven Fischer,et al.  US national mapping system growing, adjusting to security concerns , 2001 .

[28]  Cengiz Kahraman,et al.  Prioritization of human capital measurement indicators using fuzzy AHP , 2007, Expert Syst. Appl..

[29]  Jacek Malczewski,et al.  Integrating multicriteria analysis and geographic information systems: the ordered weighted averaging (OWA) approach , 2006 .

[30]  F. A. Kenawy,et al.  COST, LAY METHOD MAJOR FACTORS IN SUBSEA COILED-TUBING PIPELINE , 1999 .

[31]  Kirti Peniwati,et al.  Aggregating individual judgments and priorities with the analytic hierarchy process , 1998, Eur. J. Oper. Res..

[32]  Jacek Malczewski,et al.  GIS‐based multicriteria decision analysis: a survey of the literature , 2006, Int. J. Geogr. Inf. Sci..

[33]  A H Feizlmayr,et al.  LOWER COSTS, ENVIRONMENTAL PROTECTION DRIVE FUTURE PIPELINE TECHNOLOGIES , 1999 .

[34]  Carlos Henrique Pereira Mello,et al.  ON THE AGGREGATION OF INDIVIDUAL PRIORITIES IN INCOMPLETE HIERARCHIES , 2013 .

[35]  Chen-Tung Chen,et al.  A decision-making method based on interval-valued fuzzy sets for cloud service evaluation , 2010, 4th International Conference on New Trends in Information Science and Service Science.

[36]  Mohammad Ebrahim Banihabib,et al.  Extended fuzzy analytic hierarchy process approach in water and environmental management (case study: Lake Urmia Basin, Iran) , 2014, Environmental Earth Sciences.

[37]  R. Borne,et al.  TANK CLEANING SYSTEM REMOVES SLUDGE ON-LINE , 1998 .

[38]  Scott Byron.  Risk-based pipeline routing improves success probabitity , 2010 .

[39]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[40]  Rita Tubb,et al.  Pipeline & gas journal's 2010 international pipeline construction report , 2004 .

[41]  Didier Dubois,et al.  The role of fuzzy sets in decision sciences: Old techniques and new directions , 2011, Fuzzy Sets Syst..

[42]  Djamel Eddine Khene.  CROSS-BORDER GAS-LINE PROJECTS FACE DAUNTING CHALLENGES , 1997 .

[43]  Joe Breman,et al.  Bathymetry — the art and science of seafloor modeling for modern applications , 2010 .

[44]  David Bailey,et al.  Development of an optimal spatial decision-making system using approximate reasoning , 2005 .

[45]  Fatemeh Zahedi,et al.  The Analytic Hierarchy Process—A Survey of the Method and its Applications , 1986 .

[46]  Hua-Yang Lin,et al.  資料倉儲系統評選之研究; Data Warehouse System Evaluation and Selection Decisions , 2006 .

[47]  Koshy Varghese,et al.  Investigation of an AHP Based Multi Criteria Weighting Scheme for GIS Routing of Cross Country Pipeline Projects , 2007 .

[48]  Orhan Degermenci.  An EU study of the Caspian area oil and gas pipelines, comparing routes and costs , 2001 .

[49]  Ahmet Beskese,et al.  Landfill site selection using fuzzy AHP and fuzzy TOPSIS: a case study for Istanbul , 2015, Environmental Earth Sciences.

[50]  Maryam Kordi,et al.  Effects of increasing fuzziness on analytic hierarchy process for spatial multicriteria decision analysis , 2012, Comput. Environ. Urban Syst..

[51]  R. Ramanathan,et al.  Group preference aggregation methods employed in AHP: An evaluation and an intrinsic process for deriving members' weightages , 1994 .

[52]  Xiaoting Wang.  A study of regret and rejoicing and a new MCDM method based on them , 2008 .

[53]  Zone-Ching Lin,et al.  Evaluation of machine selection by the AHP method , 1996 .