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API TR 1149

Pipeline Variable Uncertainties and Their Effects on Leak Detectability - SECOND EDITION

Organization:
API - American Petroleum Institute
Year: 2015

Abstract: This document describes procedures for predicting uncertainties in the detection of leaks in pipelines using computational methods based upon physical hydraulic state measurements. This class of pipeline leak detection methods is commonly called computational pipeline monitoring (CPM).
Generally, CPM methods take physical measurements from a pipeline as an input, and calculate a metric that is used to assess whether a leak is likely to have occurred. The uncertainty in the CPM method is a fundamentally statistical measure of how likely an alarm is to be valid; equivalently, how often an alarm may be due to routine operational conditions or lie within the realm of known input uncertainty.
URI: https://yse.yabesh.ir/std/handle/yse/124185
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contributor authorAPI - American Petroleum Institute
date accessioned2017-09-04T17:00:41Z
date available2017-09-04T17:00:41Z
date copyright2015.09.01
date issued2015
identifier otherXPHRLFAAAAAAAAAA.pdf
identifier urihttps://yse.yabesh.ir/std/handle/yse/124185
description abstractThis document describes procedures for predicting uncertainties in the detection of leaks in pipelines using computational methods based upon physical hydraulic state measurements. This class of pipeline leak detection methods is commonly called computational pipeline monitoring (CPM).
Generally, CPM methods take physical measurements from a pipeline as an input, and calculate a metric that is used to assess whether a leak is likely to have occurred. The uncertainty in the CPM method is a fundamentally statistical measure of how likely an alarm is to be valid; equivalently, how often an alarm may be due to routine operational conditions or lie within the realm of known input uncertainty.
languageEnglish
titleAPI TR 1149num
titlePipeline Variable Uncertainties and Their Effects on Leak Detectability - SECOND EDITIONen
typestandard
page174
statusActive
treeAPI - American Petroleum Institute:;2015
contenttypefulltext
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