The Digital Pipeline Solutions Forum 2022

May 18–19, 2022
Houston, Texas

Clarion will host their Digital Pipeline Solutions Forum (DPSF) 2022 in Houston, Texas, May 18–19. DPSF 2022 explores how digitization, efficient storage, accurate alignment, and improved accessibility of expansive data sets have paved the way for next‐generation data science and advanced analytic methods to optimize and improve asset integrity performance. Highlighting the current needs of the industry, DPSF 2022 unearths how to ensure the success of digital transformation and applied data science and the impact and evolving contribution of “cyber-physical systems” as they propel entirely new capabilities for people and machines.

Focusing on how a relational database architecture can support materials verification efforts and data science approaches, Exponent’s Martin Glomski, manager, and Jeffrey A. Kornuta, Ph.D., P.E., senior managing engineer, will present “Relational Database Framework for Integrity Management Programs,” Thursday, May 19, at 1:30 PM CT / 11:30 AM PT. As part of the regulations published in October 2019, PHMSA requires operators that do not have sufficient records of pipeline material properties to conduct materials verification in accordance with §192.607. The materials verification regulations in §192.607(b) stipulate that the records established under this section “must be maintained for the life of the pipeline and be traceable, verifiable, and complete (TVC).” Therefore, operators should seek to implement a comprehensive and robust data management solution to store the massive amount and varied types of data that are collected during this process.

As a part of their materials verification program, Pacific Gas and Electric Company (PG&E) has collected more than 25,000 materials verification data points. Martin Glomski and Jeffrey A. Kornuta’s presentation will include PG&E’s database and data management solution for archiving relevant materials data as it pertains to nondestructive examination (NDE), flaw detection NDE, and laboratory testing data for transmission assets. This implementation increases the capabilities of the data, enables long-term data retention in support of regulatory requirements, and aligns with industry-wide data-stewardship efforts for integrity management. Details of the relational database architecture will be provided, along with specific examples of how this architecture both supports materials verification efforts and facilitates data science approaches for integrity management programs.

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