GAUSSIAN FUZZY ANALYTIC HIERARCHY PROCESS FOR THE EVALUATION OF BENEFIT, COST, AND RISK ANALYSIS IN THE INDONESIAN OIL AND GAS PROCESSING AREA

Abstract

In the oil and gas processing area, adequate risk control should be prearranged to prevent serious accidents, such as major gas leak, fire, and explosion. Installing gas detectors at appropriate technology is one of indispensable conditions for an implementation of risk reduction measures. Open-path infrared and ultrasonic leak gas detector provide wide coverage of gas detection. This capability is advantageous to detect unintentionally gas release in wide coverage and windy-climate processing area. On the other hand, the installation and maintenance cost of those gas detectors are relatively high compared to point infrared and catalytic gas detector. Gaussian fuzzy analytic hierarchy process (Gaussian FAHP) is implemented to evaluate the selection of gas detector technology in terms of benefit, cost and risk criteria. Ten expert panelists from production, safety, and maintenance departments are involved in Delphi Technique to assess the sub-criteria of Gaussian FAHP. The Gaussian FAHP evaluation reveals that point infrared gas detector has the highest value among all gas detector technologies. This means that point infrared technology acquires efficient value in delivering service to process safety operation. The obtained result of consistency ratio is always below 0.1 (CR<0.1). By these terms, the Gaussian FAHP is consistent and applicable. By changing 50% amount of weight in all sub-criteria, there is no alternatives rank position change. The sensitivity analysis proves that the Gaussian FAHP evaluation in the research is consistent irrespectively of the sub-criteria change. The integration of Delphi Technique and Gaussian FAHP in the research is the scientific work to evaluate the best applied detector technology in the oil and gas processing area.