Placement Optimization Method of FPSO Gas Detectors Based on Leakage Risk  

作　　者：KANG Jichuan SUN Chongwen JIN Peng YAN Fasuo SUN Liping 

机构地区：[1]College of Shipbuilding Engineering,Harbin Engineering University,Harbin 150001,China [2]Xuzhou Construction Machinery Group,Xuzhou 221000,China [3]International Joint Laboratory of Naval Architecture and Offshore Technology,Harbin 150001,China

出　　处：《Journal of Ocean University of China》2022年第1期49-61,共13页中国海洋大学学报（英文版）

基　　金：support of the Fundamen-tal Research Funds for the Central Universities(No.3072021CF0101);the‘Integration Software of Offshore Float-ing Platform Engineering Design(No.2016YFC0302900)’from the Ministry of Science and Technology of China,and the Project of Development of Floating Offshore Wind Turbine Risk Assessment Software Project,funded by the International S&T Cooperation Program of China(No.2013DFE73060).

摘　　要：As the first step of the fire/gas-detection systems of floating production storage and offloading(FPSO)units is to iden-tify leakage accidents,gas detectors play an important role in controlling the leakage risk.To improve the leakage scenario detection rate and reduce the cumulative risk value,this paper presents an optimization method of the gas detector placement.The probability density distribution and cumulative probability density distribution of the leakage source variables and environmental variables were calculated based on the Offshore Reliability Data and the statistical data of the relevant leakage variables.A potential leakage sce-nario set was constructed using Latin hypercube sampling.The typical FPSO leakage scenarios were analyzed through computational fluid dynamics(CFD),and the impacts of different parameters on the leakage were addressed.A series of detectors was deployed according to the simulation results.The minimization of the product of effective detection time and gas leakage volume was the risk optimization objective,and the location and number of detectors were taken as decision variables.A greedy extraction heuristic algo-rithm was used to solve the optimization problem.The results show that the optimized placement had a better monitoring effect on the leakage scenario.

关 键 词：FPSO leakage risk detector layout optimization Latin hypercube sampling 

分 类 号：P75[天文地球—海洋科学] TE54[石油与天然气工程—油气田开发工程]