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Analytics and Machine Learning for Pipeline Integrity

Machine learning is emerging as a fundamental practice in support of pipeline integrity and risk management processes. As the amount and complexity of data is ever expanding through on-going assessments, broadening regulatory requirements, and increasing availability of satellite imagery, third party, government and industry contributed data, machine learning is making it possible to efficiently identify and manage what is important to integrity objectives.

This event is offered on the dates listed below.
For complete information about the event, please click on the appropriate date.

Upcoming Dates

in-person, Houston: February 6-7, 2023