Probability of Detection and False Detection for Subsea Leak Detection Systems: Model and Analysis

Autor: Ayhan Akinturk, Faisal Khan, Mahmoud Haddara, Premkumar Thodi, Alireda Aljaroudi
Rok vydání: 2015
Předmět:
Zdroj: Journal of Failure Analysis and Prevention. 15:873-882
ISSN: 1864-1245
1547-7029
DOI: 10.1007/s11668-015-0033-6
Popis: Ensuring the integrity of subsea process components is one of the primary business objectives of the oil and gas industry. Leak detection system (LDS) is one type of system used to safeguard reliability of a pipeline. Different types of LDS use different technologies for detecting and locating leaks in pipelines. One technology, which is gaining wide acceptance by the industry, is the fiber optic-based LDS. This technology has great potential for subsea pipeline applications. It is the most suited for underwater applications due to the ease of installation and reliable sensing capabilities. Having pipelines underwater in the deep sea presents a great challenge and a potential threat to the environment and operation. Thus, there is a need to have a reliable and effective system to provide the assurances that the monitored subsea pipeline is safe and functioning as per operating conditions. Two important performance parameters that are of concern to operators are the probability of detection and probability of false alarm. This paper presents a probabilistic formulation of the probability of detection and probability of false detection for a fiber optic-based LDS.
Databáze: OpenAIRE
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