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51318-11211-Monitoring Corrosion Rates in Diverse Applications Using Web Enabled Real-Time Analytics

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This paper explores the use of remote monitoring systems and web-based data analysis to track corrosion rates in real time.

Product Number: 51318-11211-SG
Author: Jamey Hilleary
Publication Date: 2018
Industry: Corrosion Monitoring and Control
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This paper explores the use of remote monitoring systems and web-based data analysis to track corrosion rates in real time. Combining monitoring systems with electrical resistance (ER) or linear polarization resistance (LPR) corrosion probes allows corrosion rate data to be measured more frequently. Real time transmission of the field data at more frequent intervals provides a greater number of data measurements. Increased data density enables faster and more accurate evaluation of corrosion rate trends. Interactive, web-based analysis provides the user with a tool that allows tracking of corrosion rates in real time. Additionally, corrosion rate changes can be easily isolated to evaluate the effects of environmental or mitigative factors.

Corrosion probe measurements are affected by many factors, including: temperature, sensitivity, environmental changes, etc. Individual measurements may appear inconsistent. Typically, a number of historic measurements are averaged in order to produce a trend. Data analysis tools provide the user with real-time data trending capability. Interactive graphic data analysis enables the user to view the corrosion rate using a variable number of historic measurements to include in creating a rolling average corrosion rate. The user may also view and compare corrosion rates between any two points in history, and view cumulative metal loss in order to evaluate probe life consumption. Relevant applications include monitoring corrosion rates in soils, tanks, casings, pipelines, atmospheric environments, solutions, and off-shore immersed structures.

Keywords: Electrical resistance probes, linear polarization resistance probes, corrosion rate, internal corrosion, soil corrosiveness, remote data acquisition

This paper explores the use of remote monitoring systems and web-based data analysis to track corrosion rates in real time. Combining monitoring systems with electrical resistance (ER) or linear polarization resistance (LPR) corrosion probes allows corrosion rate data to be measured more frequently. Real time transmission of the field data at more frequent intervals provides a greater number of data measurements. Increased data density enables faster and more accurate evaluation of corrosion rate trends. Interactive, web-based analysis provides the user with a tool that allows tracking of corrosion rates in real time. Additionally, corrosion rate changes can be easily isolated to evaluate the effects of environmental or mitigative factors.

Corrosion probe measurements are affected by many factors, including: temperature, sensitivity, environmental changes, etc. Individual measurements may appear inconsistent. Typically, a number of historic measurements are averaged in order to produce a trend. Data analysis tools provide the user with real-time data trending capability. Interactive graphic data analysis enables the user to view the corrosion rate using a variable number of historic measurements to include in creating a rolling average corrosion rate. The user may also view and compare corrosion rates between any two points in history, and view cumulative metal loss in order to evaluate probe life consumption. Relevant applications include monitoring corrosion rates in soils, tanks, casings, pipelines, atmospheric environments, solutions, and off-shore immersed structures.

Keywords: Electrical resistance probes, linear polarization resistance probes, corrosion rate, internal corrosion, soil corrosiveness, remote data acquisition

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51318-10937-A New Perspective on Corrosion Monitoring

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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.
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