Use of Historical Data to Provide Process Leak Frequency Estimates | AIChE

Use of Historical Data to Provide Process Leak Frequency Estimates

Type

Conference Presentation

Conference Type

AIChE Spring Meeting and Global Congress on Process Safety

Presentation Date

August 19, 2020

Duration

60 minutes

Skill Level

Intermediate

PDHs

1.00

A key driver in the risk assessment of an offshore installation or process plant is the leak frequency associated with isolatable sections as this is combined with the consequence information to determine the process safety risks. The leak frequencies are calculated by combining an installation-specific parts count with more generic leak frequency data derived from historical experience based on recorded incidents from a known population of equipment.

A number of data sets are available but the most comprehensive of these is the UK’s Hydrocarbon Release Database (HCRD) which captures the details of almost 5000 leaks for UK offshore installations from 1992 to the present day. Thus, the HCRD is the most common source of leak frequency data, in both the US and the UK as well as in many other parts of the world. Generic leak frequencies derived from this data are often used in analyses of onshore process plants and refineries due to the lack of more specific data.

Revised correlations for leak frequencies and hole size distributions have been developed by DNV GL on behalf of the International Association of Oil and Gas Producers (IOGP). These correlations indicate a significant reduction in leak frequency which has implications for risk-based design and operational decision making.

With such a high dependence on the use of the HCRD it is important that the reporting, recording, collation and interpretation of the data is thorough and technically sound. There have been initiatives in recent years to improve the way this is done and thereby the accuracy of the estimates produced.

This paper discusses how these correlations were derived and the measures taken to ensure their robustness. The paper also explores the impact of using the updated frequency correlations in quantitative risk assessments and future work scopes which may provide deeper insight.

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