As the digital transformation of the O&G pipeline and gas utility industries gathers momentum, the largest impact upon performance and safety is, arguably, going to be seen in how artificial intelligence can be leveraged for decision support in a near real-time environment. The session will focus on the role of machine learning and data science and the key elements that must be addressed in delivering solutions utilizing the technology. We will look at the differences between predictive modeling and causal inference and the role they play in pipeline integrity, risk management, and real-time operations.
These sessions provides you with an opportunity to learn new industry techniques, interact with our presenters, and to receive answers to your questions. Have an interesting topic you’d like to see showcased by our experts? Email us at firstname.lastname@example.org. Not able to join the live session? Submit your questions to us at email@example.com and our experts will provide a response either live or in writing.Date: January 21, 2021
Time: 10:00 AM CST
Dr. Gilmour leads a team of pipeline modeling and data analysis experts. This team is charged with being custodians of our industry leading hydraulic modelling/flow assurance capabilities, especially pertinent with this being the 50-year anniversary of the foundation of our network modelling applications. And they also have an eye to the future and ensuring that DNV GL continues to be innovative leaders in the next generation of solutions bringing increasing value to customers. In this we seek to combine our engineering and physical modelling expertise with data driven technologies, including IIOT and AI, that enable us to deliver deep insight and foresight to pipeline operations and optimization of performance and safety.