Structural health monitoring of localized internal corrosion in high temperature piping for oil industry

Eason, Thomas J.; Bond, Leonard J.; Lozev, Mark

doi:10.1063/1.4914690

Cited by 6 publications

(8 citation statements)

References 14 publications

(14 reference statements)

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“…A previously reported experiment by Eason et al 10 was conducted to demonstrate a statistical modeling approach to compare measurement accuracy of multiple bulk wave ultrasonic thickness calculation methods: a local maxima method (Peak-to-Peak), a threshold method (Zero Crossing), and an optimum correlation method (Cross Correlation) 10,17 were investigated.…”

Section: Measurement Accuracy Methodologymentioning

confidence: 99%

“…Ultrasonic methods involve the transmission and measured reception of elastic wave displacements using a wide range of possible system configurations as previously described 10 involving Bulk and Guided Wave propagation modes as well as piezoelectric, electromagnetic acoustic, magnetostrictive, and laser transduction methods. Periodic bulk wave thickness measurement involving a transducer manually coupled to the outside of a pipe is the most common practice for corrosion monitoring.…”

Section: Potential Nondestructive Evaluation Methodsmentioning

confidence: 99%

“…In an effort to assess the state of art and identify potential improvements in measurement capability, prior reviews of inspection technology for corrosion 7 and pipe systems [8][9][10] as well as general NDE sources [11][12] are referenced.…”

Section: Potential Nondestructive Evaluation Methodsmentioning

confidence: 99%

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Ultrasonic thickness structural health monitoring photoelastic visualization and measurement accuracy for internal pipe corrosion

Eason

Bond

Lozev³

2015

SPIE Proceedings

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Oil refinery production of fuels is becoming more challenging as a result of the changing world supply of crude oil towards properties of higher density, higher sulfur concentration, and higher acidity. One such production challenge is an increased risk of naphthenic acid corrosion that can result in various surface degradation profiles of uniform corrosion, non-uniform corrosion, and localized pitting in piping systems at temperatures between 150°C and 400°C. The irregular internal surface topology and high external surface temperature leads to a challenging in-service monitoring application for accurate pipe wall thickness measurements. Improved measurement technology is needed to continuously profile the local minimum thickness points of a non-uniformly corroding surface. The measurement accuracy and precision must be sufficient to provide a better understanding of the integrity risk associated with refining crude oils of higher acid concentration. This paper discusses potential technologies for measuring localized internal corrosion in high temperature steel piping and describes the approach under investigation to apply flexible ultrasonic thinfilm piezoelectric transducer arrays fabricated by the sol-gel manufacturing process. Next, the elastic wave beam profile of a sol-gel transducer is characterized via photoelastic visualization. Finally, the variables that impact measurement accuracy and precision are discussed and a maximum likelihood statistical method is presented and demonstrated to quantify the measurement accuracy and precision of various time-of-flight thickness calculation methods in an ideal environment. The statistical method results in confidence values analogous to the a90 and a90/95terminology used in Probability-of-Detection (POD) assessments. RightsCopyright 2015 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. ABSTRACTOil refinery production of fuels is becoming more challenging as a result of the changing world supply of crude oil towards properties of higher density, higher sulfur concentration, and higher acidity. One such production challenge is an increased risk of naphthenic acid corrosion that can result in various surface degradation profiles of uniform corrosion, non-uniform corrosion, and localized pitting in piping systems at temperatures between 150°C and 400°C. The irregular internal surface topology and high external surface temperature leads to a challenging in-service monitoring application for accurate pipe wall thickness measurements. Improved measurement technology is needed to continuously profile the local minimum thickness points of a non-uniformly corroding surface. The measurement accuracy and precision must be sufficient to provide a better understanding of the integrity risk associated with refining crude o...

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Section: Measurement Accuracy Methodologymentioning

confidence: 99%

Section: Potential Nondestructive Evaluation Methodsmentioning

confidence: 99%

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Ultrasonic thickness structural health monitoring photoelastic visualization and measurement accuracy for internal pipe corrosion

Eason

Bond

Lozev³

2015

SPIE Proceedings

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“…2 and previously described [19,22]. The gain for each sensor was individually adjusted to maximize the first back-wall reflection amplitude without saturation.…”

Section: Methodology Experiments Setupmentioning

confidence: 99%

Structural health monitoring ultrasonic thickness measurement accuracy and reliability of various time-of-flight calculation methods

Eason

Bond

Lozev³

2016

AIP Conference Proceedings

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Abstract. The accuracy, precision, and reliability of ultrasonic thickness structural health monitoring systems are discussed in-cluding the influence of systematic and environmental factors. To quantify some of these factors, a compression wave ultrasonic thickness structural health monitoring experiment is conducted on a flat calibration block at ambient temperature with forty four thin-film sol-gel transducers and various time-of-flight thickness calculation methods. As an initial calibration, the voltage response signals from each sensor are used to determine the common material velocity as well as the signal offset unique to each calculation method. Next, the measurement precision of the thickness error of each method is determined with a proposed weighted censored relative maximum likelihood analysis technique incorporating the propagation of asymmetric measurement uncertainty. The results are presented as upper and lower confidence limits analogous to the a 90/95 terminology used in industry recognized Probability-of-Detection assessments. Future work is proposed to apply the statistical analysis technique to quantify measurement precision of various thickness calculation methods under different environmental conditions such as high temperature, rough back-wall surface, and system degradation with an intended application to monitor naphthenic acid corrosion in oil refineries.

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“…Prior reviews of inspection and monitoring technologies for general corrosion [Beissner and Birring (1988)], upstream riser damage [Lozev et al (2005)], water pipe condition [Liu and Kleiner (2013)], underwater structures [Rizzo (2013)], in-line pipeline inspection [Bickerstaff et al (2002)], piping internal corrosion [Eason et al (2015a)], as well as general NDE [Ness et al (1996); Gros (1996); Bray and Stanley (1997) [Hansen et al (2013)] or laser ring triangulation [Duran et al (2007)].…”

Section: Non-destructive Evaluation Methods Reviewmentioning

confidence: 99%

Ultrasonic thickness structural health monitoring of steel pipe for internal corrosion

Eason

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Structural health monitoring of localized internal corrosion in high temperature piping for oil industry

Cited by 6 publications

References 14 publications

Ultrasonic thickness structural health monitoring photoelastic visualization and measurement accuracy for internal pipe corrosion

Ultrasonic thickness structural health monitoring photoelastic visualization and measurement accuracy for internal pipe corrosion

Structural health monitoring ultrasonic thickness measurement accuracy and reliability of various time-of-flight calculation methods

Ultrasonic thickness structural health monitoring of steel pipe for internal corrosion

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