Pipeline Pigging and Integrity Management 2022
The Clarion Technical Conferences and Great Southern Press (GSP) will host the 34th Pipeline Pigging and Integrity Management (PPIM) 2022 Conference in Houston, January 31–February 4. PPIM explores topics such as pipeline safety, reliability, and efficiency while providing a forum for reporting new developments, field experience, tools, and systems.
On Wednesday, February 2, at 12 PM CT/10 AM PT, Jeffrey A. Kornuta, Ph.D., P.E., Exponent managing engineer, will present,"Using Nondestructive Testing and Statistical Analysis to Perform Material Property Verification and Align Records." His presentation focuses on Pacific Gas and Electric Company’s (PG&E) nondestructive examination (NDE) for material property verification (MPV) testing and statistical analysis to align a mismatch on six in-line inspection launch and recovery components (eccentric reducers). Material test records (MTRs) indicated these six reducers were all from the same heat number with a 60 ksi Specified Minimum Yield Strength (SMYS). Purchase records also indicated that each of the reducers had a 60 ksi SMYS, but the record mismatch stemmed from each component having a “Y52” marking which typically correlates to a minimum 52 ksi yield strength. PG&E conservatively used 52 ksi for all Maximum Allowable Operating Pressure (MAOP) considerations. The first part of this study consisted of using NDE for material property verification, in line with 49 CFR §192.607, to confirm that all six reducers belong to the same heat number. Additionally, PG&E will independently verify the properties listed in the MTRs with destructive laboratory mechanical strength and composition testing on one of the reducers when the NDE is complete. The destructive laboratory tests will serve to validate the MTRs and NDE results. If a conclusive determination can be made that all the reducers were correlated to each other and to the MTRs, then the records could be corrected, and the assets can use the manufacturer’s strength specifications.
In addition, Janille Maragh, Ph.D., Exponent associate, will present “Reducing Bias in Chemical Composition Data with Measurements Below the Limit of Detection” on Wednesday, February 2, at 4:30 PM CT/2:30 PM PT. Accurate and precise measurements of the chemical compositions of pipe steels are critical in deducing certain characteristics of the pipe, such as vintage or grade. As such, overestimating or underestimating the amounts of certain chemical elements present could lead to the mischaracterization of a given pipe. The current standard procedure for determining a pipe’s chemical composition involves taking several measurements at multiple locations on the feature and disregarding data that are below the tool’s limit of detection (LOD), and subsequently taking the average of the remaining measurements. This procedure may lead to an overestimation of the mean, since the values below the LOD, i.e., the smallest values in the set, are eliminated. This presentation features a decision tree that accounts for this bias based on the percentage of measurements that are below the LOD. Based on this percentage, the measurement list is either modified or truncated so that the calculated mean is closer to the true chemical composition of the pipe. The decision tree is applied to data collected using portable spark optical emission spectroscopy (OES), portable X-ray fluorescence, and portable laser-induced breakdown spectroscopy. The chemical compositions of various pipes obtained both with and without the use of the decision tree are presented and compared to destructive lab spark OES data.
Exponent’s Chelsea Liu, Ph.D., associate, will also be in attendance. Stop by our exhibit booth and meet our experts.
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