This study concentrates on risk factors in oil field pipeline systems and covers identification of failure rate and reasons of failure comparison of the failure data, which are collected from oilfield pipeline systems located in South East Turkey. There are many methods and techniques to reduce or eliminate risk factors in pipeline systems. In this study, quantitative risk assessment method, which depends on statistical calculations, was applied. Monte Carlo Simulation was used to assess the risk in the system. This study focuses on identification of relationship between all parameters. History matching frequency, identification of critical factors, probability of density function have been estimated and calculated. The most significant failures are identified as corrosion, third party damage, mechanical failure, operational failure, weather effect and sabotage.
Estimating the sustainability of towed fishing‐gear impacts on seabed habitats: a simple quantitative risk assessment method applicable to data‐limited fisheries
