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08281 Real-Time, Online Corrosion Monitoring & Process Optimization Through the Chemical Plant Control System

Picture for 08281 Real-Time, Online Corrosion Monitoring & Process Optimization Through the Chemical Plant Contr
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Product Number: 51300-08281-SG
ISBN: 08281 2008 CP
Author: Russell Kane, Juan Hernandez, and Keith Briegel
Publication Date: 2008
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$20.00
$20.00
Two nominally identical chemical units were showing widely different signs of corrosion damage. While one of the units exhibited low corrosion rates, the other corroded at very high rates causing rapid failure of stainless steel piping. Traditional monitoring techniques (corrosion coupons and electrical resistance probes) failed to detect the root cause of the problem. A new approach was used that utilized the plant distributed control system (DeS) to give plant personnel access to time-trended general and pitting corrosion from multi-technique, electrochemical probes using a proprietary digital-enabled, intrinsically-safe transmitter and direct correlation with plant process infonnation. After installing the probes and connection to the DCS, process operators and engineers were able to identify process scenarios that wcrc contributing to the diffcrcncc in corrosion rates.
Two nominally identical chemical units were showing widely different signs of corrosion damage. While one of the units exhibited low corrosion rates, the other corroded at very high rates causing rapid failure of stainless steel piping. Traditional monitoring techniques (corrosion coupons and electrical resistance probes) failed to detect the root cause of the problem. A new approach was used that utilized the plant distributed control system (DeS) to give plant personnel access to time-trended general and pitting corrosion from multi-technique, electrochemical probes using a proprietary digital-enabled, intrinsically-safe transmitter and direct correlation with plant process infonnation. After installing the probes and connection to the DCS, process operators and engineers were able to identify process scenarios that wcrc contributing to the diffcrcncc in corrosion rates.
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