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Risk-based decision-making for drilling waste discharges using a fuzzy synthetic evaluation technique
Authors:Rehan Sadiq  Tahir Husain  Neil Bose
Institution:a Institute for Research in Construction, National Research Council, M 20, 1200 Montreal Road, Ottawa, Ont., Canada K1A 0R6
b Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, Nfld., Canada A1B 3X5
Abstract:Offshore petroleum drilling wastes contain toxic substances that are potentially harmful to the marine ecosystem. Despite environmentally benign characteristics, wastes associated with synthetic-based fluids still contain a certain amount of pollutants due to contamination with formation oil and the presence of trace heavy metals in barite, which may pose risk when discharged into the marine environment. A framework is presented here for a decision support system for the selection of the best drilling waste discharge option. Uncertainties in the quantification of risk, cost and technical feasibility are expressed by fuzzy numbers. An analytical hierarchy process with a technique called fuzzy synthetic evaluation is employed to determine the best management alternative (discharge scenario).
Keywords:Drilling waste  Fuzzy sets  Fuzzy synthetic evaluation  Risk
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