Search
Filters

Online Continuous Corrosion Monitoring for Detection Monitoring and Control of Localized Corrosion

The authors will demonstrate that deploying only a modest number of point measurement devices in an area of elevated localized corrosion risk will provide the best possible combination of probability of detection (POD) as well as ongoing wall thickness monitoring for localized corrosion attack.

Product Number: 51317--9065-SG
ISBN: 9065 2017 CP
Author: Jake Davies
Publication Date: 2017
$0.00
$20.00
$20.00

Title: Recent advances in best practice for deployment of online continuous corrosion monitoring systems for the detection and monitoring of localized corrosion providing insights to aid in its controlNon-intrusive continuous wall thickness monitoring systems are fast becoming industry best practice for online detection and monitoring of corrosion and erosion. Traditional challenges with localised corrosion have been knowing where to deploy online monitoring sensors and also being able to quickly and easily interpret the data that is delivered.Operators have been deploying these wall-thickness monitoring sensors in arrays in areas of elevated corrosion risk. The author will demonstrate that deploying only a modest number of point measurement devices in an area of elevated localized corrosion risk will provide the best possiblecombination of probability of detection (POD) and ongoing wall thickness monitoring for localized corrosion attack.As described in API guidelines and as the authors have previously shown conventional signal processing for ultrasonic wall thickness measurements can generate confusing wall thickness measurements (increasing wall thickness trends etc) when the internal metal surface at the measurement location is rough. Recent advances in ultrasonic signal processing that takes advantage of the specific historic data that is recorded by the online wireless wall-thickness monitoring system has been instrumental in separating the effects of wall-thickness loss from changes to internal surface morphology at the measurement locations. These advances make the data from the online monitoring system considerably easier to understand and interpret when the corrosion mechanism that is occurring is creating a rough internal surface at the measurement location – ie as per many localized corrosion mechanisms. Specific field examples from the ~10000 installed sensors worldwide are presented to demonstrate the improvements of the new signal processing technique.

Key words: Corrosion monitoring, ultrasound, surface morphology, non-intrusive, monitoring, corrosion,

Title: Recent advances in best practice for deployment of online continuous corrosion monitoring systems for the detection and monitoring of localized corrosion providing insights to aid in its controlNon-intrusive continuous wall thickness monitoring systems are fast becoming industry best practice for online detection and monitoring of corrosion and erosion. Traditional challenges with localised corrosion have been knowing where to deploy online monitoring sensors and also being able to quickly and easily interpret the data that is delivered.Operators have been deploying these wall-thickness monitoring sensors in arrays in areas of elevated corrosion risk. The author will demonstrate that deploying only a modest number of point measurement devices in an area of elevated localized corrosion risk will provide the best possiblecombination of probability of detection (POD) and ongoing wall thickness monitoring for localized corrosion attack.As described in API guidelines and as the authors have previously shown conventional signal processing for ultrasonic wall thickness measurements can generate confusing wall thickness measurements (increasing wall thickness trends etc) when the internal metal surface at the measurement location is rough. Recent advances in ultrasonic signal processing that takes advantage of the specific historic data that is recorded by the online wireless wall-thickness monitoring system has been instrumental in separating the effects of wall-thickness loss from changes to internal surface morphology at the measurement locations. These advances make the data from the online monitoring system considerably easier to understand and interpret when the corrosion mechanism that is occurring is creating a rough internal surface at the measurement location – ie as per many localized corrosion mechanisms. Specific field examples from the ~10000 installed sensors worldwide are presented to demonstrate the improvements of the new signal processing technique.

Key words: Corrosion monitoring, ultrasound, surface morphology, non-intrusive, monitoring, corrosion,

Also Purchased