Tech Talk: Pipeline Integrity Management - Part 1 - Offshore 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.
Taking CGA to the Next Level – Advances in ILI-based Corrosion Growth Assessment:
Accurate estimates of corrosion growth behavior are important for effective Integrity Management, to reduce uncertainty in future predictions and enable continued safe and economic pipeline operation. Following a brief description of conventional methods of corrosion growth assessment from repeat ILI data, this presentation will go on to show how computer vision and machine learning can be used to enhance the resulting corrosion behavior estimates from these methods. It will further demonstrate how corrosion growth distributions can be estimated for a pipeline, where in-line inspection data is not available.
Learn more and join our regional session, which will be presented on June 12, 2020 at 2:30 pm (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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