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08125 CIS Interpretation for ECDA - a Technical Analysis

Product Number: 51300-08125-SG
ISBN: 08125 2008 CP
Author: Mark Yunovich
Publication Date: 2008
$0.00
$20.00
$20.00
Analysis of close interval survey (CIS) profiles is a staple of external corrosion direct assessment (ECDA) process for underground pipelines. There are multiple possible combinations of the ON- and OFF-potential profiles that are routinely observed during the CIS surveys – e.g., the ON-potential changes while the OFF-potential remains flat. Are certain combinations associated with more likely corrosion? Is it possible to glean this information from merely looking at the ON/OFF potential shapes making up the CIS profile? This paper describes the effort to determine whether the CIS profile ‘shapes’ can act as indicators of conditions that warrant closer attention. The results of statistical analysis of ILI data superimposed on the CIS profiles are encouraging in that they support the current industry practices. The primary conclusion from the combined analyses of the CIS profile shapes and regression analysis linking the metal loss and CIS and soil characteristics is that certain CIS shapes are more likely to be associated with corrosion – particularly the familiar ‘dip’ in both ON- and OFF-potentials, especially if the CP criterion has not been met.
Analysis of close interval survey (CIS) profiles is a staple of external corrosion direct assessment (ECDA) process for underground pipelines. There are multiple possible combinations of the ON- and OFF-potential profiles that are routinely observed during the CIS surveys – e.g., the ON-potential changes while the OFF-potential remains flat. Are certain combinations associated with more likely corrosion? Is it possible to glean this information from merely looking at the ON/OFF potential shapes making up the CIS profile? This paper describes the effort to determine whether the CIS profile ‘shapes’ can act as indicators of conditions that warrant closer attention. The results of statistical analysis of ILI data superimposed on the CIS profiles are encouraging in that they support the current industry practices. The primary conclusion from the combined analyses of the CIS profile shapes and regression analysis linking the metal loss and CIS and soil characteristics is that certain CIS shapes are more likely to be associated with corrosion – particularly the familiar ‘dip’ in both ON- and OFF-potentials, especially if the CP criterion has not been met.
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