Jun 12. till Jun 12.

Tech Talk: Pipeline Integrity Management - Part 1 - Onshore Stream

Integrity Analytics – Data Science for Pipeline Integrity Management:
"Integrity Analytics” involves the application of data science techniques (such as exploratory data analysis, data visualization, machine learning and computational probability) to everyday challenges of pipeline integrity management. By describing historical trends and creating predictive models, Integrity Analytics techniques can help us to use "big data" more effectively in the pipeline industry. Using a pilot data warehouse containing data for over 5,000 pipelines, it will be shown how Integrity Analytics can provide an alternative route to understanding complex pipeline threats, such as corrosion.

Dealing with SCC - An Approach to the Management of Pipeline External Stress Corrosion Cracking:
Historically, many pipeline failures have been reported due to external Stress Corrosion Cracking (SCC) in the oil and gas industry worldwide. While numerous SCC cases have been reported on the American Continent from North to South, there is a much lower level of reporting of such problems in Western Europe, which may have led to misplaced confidence that the Old Continent remains relatively immune to pipeline SCC challenges. Our experience shows that the European markets are not immune to pipeline external SCC, with failures reported as early as 1968. In this paper, the challenges of managing pipeline external SCC will be highlighted. An approach to understanding more confidently the occurrence of SCC on pipeline networks and to proceed to a more reliable management of SCC (and cracking) will be discussed.

Learn more and join our regional session, which will be presented on June 12, 2020 at 10:30 am (BST).

This session is part of our series “TECH TALKS - Regional sessions on technical topics” with weekly discussions on a diverse range of topics on asset integrity management and regulatory ramifications for the oil and gas industry.

June 12, 20202020-06-12T12:00:00 - June 12, 2020 2020-06-12T03:59:00
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