Post Assessment of Ultrasonic Crack Detection Inline Inspection Data

Author(s):  
Lisa Barkdull ◽  
Herbert Willems

The information supplied from inline inspection data is often used by pipeline operators to make mitigation and/or remediation decisions based on integrity management program requirements. It is common practice to apply industry accepted remaining strength pressure calculations (i.e. B31G, 0.85 dl, effective area) to the data analysis results from an inline inspection survey used for the detection and characterization of metal loss. Similar assessments of data analysis results from an ultrasonic crack detection survey require expert knowledge in the field of fracture mechanics and, just as importantly, require knowledge to understand the limitations of shear wave ultrasonic technology as applied to an inline inspection tool. Traditionally, crack-like and crack-field features have been classified with a maximum depth distributed over the entire length of the feature; crack-field features also have width reported. In an effort to provide further prioritization, techniques such as “longest length” or “interlinked length” [1] have been employed. More recently, an effort has been made to provide a depth profile of the crack-like or crack-field feature using the ultrasonic crack detection data analysis results. This presentation will discuss the advantages of post assessment of ultrasonic crack detection data analysis results to aid in the evaluation of pipeline integrity and discuss the limitations of advanced analysis techniques. Additionally, the potential for new inline inspection ultrasonic technologies which lend themselves to more accurate data analysis techniques will be reviewed.

Author(s):  
Garrett H. Wilkie ◽  
Tanis J. Elm ◽  
Don L. Engen

Enbridge Pipelines Inc. operates the world’s longest and most complex liquids pipeline network. As part of Enbridge’s Integrity Management Program In-Line Inspections have been and will continue to be conducted on more than 15,000 km of pipeline. This extensive program is comprised of a mature metal loss and geometry inspection component as well as a crack inspection program utilizing the most sophisticated In-Line Inspection (ILI) tools available. Enbridge conducted its first ultrasonic crack inspection with the British Gas Elastic Wave Vehicle (Now GE Power Systems – Oil & Gas – PII Pipeline Solutions) in September 1993 on a Canadian portion of it’s 864–mm (34”) diameter line. The Elastic Wave Vehicle was also used for crack detection on additional segments of this same 864–mm (34”) diameter line during the following years, 1994, 1995 and 1996. Enbridge then conducted its first crack inspection with the Pipetronix UltraScan CD tool (Now also GE Power Systems – Oil & Gas – PII Pipeline Solutions) in November 1997 on a segment of this 864–mm (34”) diameter line that was previously inspected with the Elastic Wave Vehicle. The UltraScan CD tool was then utilized again in 1999, 2000 and 2001 completing crack inspection of the Canadian portion of this 864–mm (34”) diameter line. Enbridge conducted its first magnetic crack inspection with the PII TranScan (TFI) Circumferential Magnetic inspection tool in December 1998 on a United States portion of another 864–mm (34”) diameter line. This same section of line was subsequently inspected with the PII UltraScan CD tool in July 2001. This paper discusses the comparison of results from overlapping crack inspection data analysis from these three PII crack detection tools. Specifically, the overlap of the UltraScan CD and Elastic Wave Vehicle along with the overlap of the UltraScan CD and TranScan (TFI) tool. The relative performance of each crack detection tool will be explored and conclusions drawn.


Author(s):  
Rafael G. Mora ◽  
Curtis Parker ◽  
Patrick H. Vieth ◽  
Burke Delanty

With the availability of in-line inspection data, pipeline operators have additional information to develop the technical and economic justification for integrity verification programs (i.e. Fitness-for-Purpose) across an entire pipeline system. The Probability of Exceedance (POE) methodology described herein provides a defensible decision making process for addressing immediate corrosion threats identified through metal loss in-line inspection (ILI) and the use of sub-critical in-line inspection data to develop a long term integrity management program. In addition, this paper describes the process used to develop a Corrosion In-line Inspection POE-based Assessment for one of the systems operated by TransGas Limited (Saskatchewan, Canada). In 2001, TransGas Limited and CC Technologies undertook an integrity verification program of the Loomis to Herbert gas pipeline system to develop an appropriate scope and schedule maintenance activities along this pipeline system. This methodology customizes Probability of Exceedance (POE) results with a deterministic corrosion growth model to determine pipeline specific excavation/repair and re-inspection interval alternatives. Consequently, feature repairs can be scheduled based on severity, operational and financial conditions while maintaining safety as first priority. The merging of deterministic and probabilistic models identified the Loomis to Herbert pipeline system’s worst predicted metal loss depth and the lowest safety factor per each repair/reinspection interval alternative, which when combined with the cost/benefit analysis provided a simplified and safe decision-making process.


Author(s):  
M. Al-Amin ◽  
W. Zhou ◽  
S. Zhang ◽  
S. Kariyawasam ◽  
H. Wang

A hierarchical Bayesian growth model is presented in this paper to characterize and predict the growth of individual metal-loss corrosion defects on pipelines. The depth of the corrosion defects is assumed to be a power-law function of time characterized by two power-law coefficients and the corrosion initiation time, and the probabilistic characteristics of the parameters involved in the growth model are evaluated using Markov Chain Monte Carlo (MCMC) simulation technique based on ILI data collected at different times for a given pipeline. The model accounts for the constant and non-constant biases and random scattering errors of the ILI data, as well as the potential correlation between the random scattering errors associated with different ILI tools. The model is validated by comparing the predicted depths with the field-measured depths of two sets of external corrosion defects identified on two real natural gas pipelines. The results suggest that the growth model is able to predict the growth of active corrosion defects with a reasonable degree of accuracy. The developed model can facilitate the pipeline corrosion management program.


2001 ◽  
Vol 16 (supp01c) ◽  
pp. 1122-1125 ◽  
Author(s):  
PUSHPALATHA C. BHAT

In the next decade, high energy physicists will use very sophisticated equipment to record unprecedented amounts of data in the hope of making major advances in our understanding of particle phenomena. Some of the signals of new physics will be small, and the use of advanced analysis techniques will be crucial for optimizing signal to noise ratio. I will discuss new directions in data analysis and some novel methods that could prove to be particularly valuable for finding evidence of any new physics, for improving precision measurements and for exploring parameter spaces of theoretical models.


Author(s):  
Neil Bates ◽  
Mark Brimacombe ◽  
Steven Polasik

A pipeline operator set out to assess the risk of circumferential stress corrosion cracking and to develop a proactive management program, which included an in-line inspection and repair program. The first step was to screen the total pipeline inventory based on pipe properties and environmental factors to develop a susceptibility assessment. When a pipeline was found to be susceptible, an inspection plan was developed which often included ultrasonic circumferential crack detection in-line inspection and geotechnical analysis of slopes. Next, a methodology was developed to prioritize the anomalies for investigation based on the likelihood of failure using the provided in-line inspection sizing data, crack severity analysis, and correlation to potential causes of axial or bending stress, combined with a consequence assessment. Excavation programs were then developed to target the anomalies that posed the greatest threat to the pipeline system or environment. This paper summarizes the experiences to date from the operator’s circumferential stress corrosion cracking program and describes how the pipeline properties, geotechnical program, and/or in-line inspection programs were combined to determine the susceptibility of each pipeline and develop excavation programs. In-line inspection reported crack types and sizes compared to field inspection data will be summarized, as well as how the population and severity of circumferential stress corrosion cracking found compares to the susceptible slopes found in the geotechnical program completed. Finally, how the circumferential SCC time-average growth rate distributions were calculated and were used to set future geohazard inspections, in-line inspections, or repair dates will be discussed.


2020 ◽  
Vol 4 (2) ◽  
pp. 126-136
Author(s):  
Rhett Dotson ◽  
◽  
Fernando Curiel ◽  
Luis Sacramento ◽  
Zach Locks ◽  
...  

Dents interacting with metal loss remain as a significant challenge to operators. Existing regulations require that dents with metal loss within high consequence areas be treated as immediate repairs or 60-day conditions, resulting in costly excavations for many operators. At the time when these regulations were written, it was not clear whether inline inspection technologies could discriminate the nature of the metal loss (i.e. corrosion or mechanical damage) or provide accurate sizing. Furthermore, advanced analysis techniques such as finite element analysis were limited, and fitness- forservice evaluations were not common. While the technological hurdles involved with evaluating interacting dent and metal loss features have been overcome, sensor lift-off remains a challenging issue for magnetic flux leakage (MFL) inspection tools, as sizing accuracy degrades at larger lift-off distances. Until recently, the sensor lift-off issue limited the ability to perform fitness- for- service evaluations because the metal loss in dent features could not be confidently sized. This study demonstrates how integrated lift-off sensors can be used to quantify the lift-off as the MFL sensors pass over a dent. This technology integration has allowed the confident application of sizing specifications for many dents with metal loss, thereby permitting robust fitness- for- service evaluations. Several case studies are examined in this paper, demonstrating how the integrated MFL and lift-off technology can serve to reduce excavations while still ensuring safe pipeline operations.


2019 ◽  
Vol 4 (1) ◽  
pp. 35-48
Author(s):  
Ali Nahruddin Tanal ◽  
Muhammad Yahya ◽  
Kamsinah Kamsinah

This study aims to determine the internship program called PPL implemented by student of Islamic Educational Management Program at UIN Alauddin Makassar, and the relationship between the internship program and the competencies of students involved. This research is classified as field research using quantitative methods. Data were collected using a questionnaire, and analyzed using quantitative descriptive analysis techniques. The product-moment formula is used to test the relationship between the two variables. The results of the data analysis show that the relationship between the intership program and student competency is in a low category, or there is no relationship between the two. Therefore, it was concluded that the field experience program was not relevant to be applied for student of Islamic Educational Management Program who were not in accordance with the competencies of the students.


2014 ◽  
Vol 136 (4) ◽  
Author(s):  
Mohammad Al-Amin ◽  
Wenxing Zhou ◽  
Shenwei Zhang ◽  
Shahani Kariyawasam ◽  
Hong Wang

A hierarchical Bayesian growth model is presented in this paper to characterize and predict the growth of individual metal-loss corrosion defects on pipelines. The depth of the corrosion defects is assumed to be a power-law function of time characterized by two power-law coefficients and the corrosion initiation time, and the probabilistic characteristics of the these parameters are evaluated using Markov Chain Monte Carlo (MCMC) simulation technique based on in-line inspection (ILI) data collected at different times for a given pipeline. The model accounts for the constant and non-constant biases and random scattering errors of the ILI data, as well as the potential correlation between the random scattering errors associated with different ILI tools. The model is validated by comparing the predicted depths with the field-measured depths of two sets of external corrosion defects identified on two real natural gas pipelines. The results suggest that the growth model is able to predict the growth of active corrosion defects with a reasonable degree of accuracy. The developed model can facilitate the pipeline corrosion management program.


Author(s):  
Kevin Spencer ◽  
Shahani Kariyawasam ◽  
Achim Hugger

With ever-aging pipelines, the threat of SCC to pipeline operators has never been taken more seriously. High profile failures have prompted the USDOT to issue an advisory to operators of hazardous gas and liquid pipelines. The advisory, dated October 2003, requires pipeline operators to determine the susceptibility to SCC along their pipelines, and, to identify and manage SCC in segments where conditions indicating such susceptibility are found. CEPA recommendations provide guidelines to operators for the susceptibility assessments, validation and mitigation methods based upon the significance of the SCC found. Hydrotesting, SCCDA and In-Line Inspection (ILI) are traditional methods that can be used to validate the SCC threat. SCCScreen™ is an alternative threat validation method, which provides both a reliable and an economic option. Complying with both the USDOT SCC Advisory and CEPA recommendations, SCCScreen™ is the result of combining the latest ILI analysis techniques with historic SCC database and studies. Unique post ILI algorithms have been developed to target the signal characteristics intrinsic to SCC colonies. This reduction in data analysis effort enables a quick and economic answer to SCC threat validation. The use of proven Crack Detection ILI tools with an extensive database of crack detection history enables the quantification of its reliability. The methodologies are validated on over 20,000 Kms of crack detection data from the Ultrasonic Crack Detection (USCD) Tool. This paper describes the SCCScreen™ methodology from concept to reality. Validation of results will be demonstrated using previous inspection runs and more recent case studies.


Author(s):  
Millan Sen ◽  
Steven Bott ◽  
Amanda Kulhawy ◽  
Saheed Akonko

This case study describes the crack management program for a pipeline that is NPS26, 7.1 mm wall thickness, Grade X52, flash welded and was constructed from 1954–1957. It transports light crude oil, and experiences pressure cycling though start-stop operations. Excavations have revealed that the pipeline’s flash welded seam contains a variety of manufacturing anomalies. While the majority of these anomalies are benign and stable, some exhibit the potential to grow due to the pressure cycling of the line. Furthermore, in 2010, the pipeline experienced a rupture and leak that were caused by cracks in the longitudinal seam weld. Correspondingly, the cracking threat has been actively managed using in-line inspection (ILI), excavation, and repair programs. The most recent ILI runs were conducted with ultrasonic crack detection (USCD / UTCD) and ultrasonic phased array crack detection (DUO) tools in 2009, 2012 and 2013. As a part of these ILIs, a comprehensive excavation program comprised of over 300 excavations was conducted to validate the ILI data and mitigate the cracking threat. Unity plots comparing the measurements from each excavated ILI feature with the corresponding field Non-Destructive Examination (NDE) measurements were evaluated to support quantification of the Probabilities of Identification, Detection, and Sizing for these inspections. The results revealed that the ILI results were not repeatable when comparing the data from the three inspections, and not meeting target specifications. Furthermore, advanced analysis was completed to combine the data and evaluate the tool performance reliability for the pipeline. The results showed that the crack ILI tools were not achieving the required reliability targets for the pipeline. Considering that ILI is often successfully used to support the crack management of pipelines for the vast majority of conditions, the 2010 failures were investigated to determine the causes for the unacceptable ILI performance. The investigation revealed that the distinct peaking, misalignments, and pipe mill grinding associated with the pipelines flash weld, caused challenges for the tool’s detection and sizing capabilities. Therefore in order to ensure the safety of this pipeline, mitigation in addition to crack ILI programs was deemed to be required. Some options included operating at a reduced pressure, hydrostatic testing, or pipeline replacement. Hydrostatic testing was selected as the preferred option for implementation. This was successfully completed in October 2015 and there were no leaks or ruptures that occurred during the hydrostatic testing. This demonstrated that the pre-test excavation programs, which targeted features exhibiting burst pressures below that of the hydrotest pressure, had mitigated the cracking threat on the pipeline. The results of the reliability analysis showed that the uncertainties associated with the ILI were higher than acceptable. However as there were no failures during the hydrotest the reliability analysis was conservative for this case in consideration that the pre-test excavation program was able to mitigate the cracking threat. Nonetheless, the process of reviewing and assessing the ILI-field comparisons and evaluating the ILI tool performance remains a critical component of crack ILI management. Conducting alternative mitigation to ILI for crack management, if required, also remains a critical component of crack ILI management. For this pipeline the cracking threat will be re-assessed within 5 years of the hydrostatic test to support continued safe and reliable operation.


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