Abstract:
The chemical industry as a whole is responsible for preventing major accidents, not only to prevent human fatality and injury, but also to protect the environment and to improve public perception of chemical engineering as a favorable and integral part of society. Especially in oil and gas production facilities safety plays a vital role. There are many safety instrumented systems used in this facility .Pressure Safety Low (PSL) is one of them that is used to detect leak in offshore pipeline based on pressure within the pipeline. PSLs are low-pressure alarms used to monitor oil and gas production facilities. The PSL pipeline alarms are intended to shut-in the production facility in the event of a system leak or catastrophic event, hence the operation of PSL needs to be highly reliable.
This can be assessed by PSL reliability study to address the following questions. When do PSLs function correctly to identify a leak in an offshore pipeline? What conditions may create false alarms with PSLs? Underwhat conditions do PSLs fail to detect a'leak?
As part of loss prevention in the oil and gas production, this dissertation is focused on the probabilistic analysis of safety and reliability over the operating part of the process life cycle of PSL. The methodology developed is data driven with continuous updating of reliability data and models the trade off between safety and economics is plant operation. Then it is continuously quantified and forms the basis for improving design, operation and maintenance strategies. In this dissertation also comparison made between two types of leak detection system first one is the pressure safety low other is mass flow sensor
