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UQ methodologies in Schlumberger's technology development for Drilling Automation

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UNQ - Uncertainty quantification for complex systems: theory and methodologies

In this talk, I will explain how uncertainty quantification methodologies are playing a vital role at Schlumberger Cambridge Research for the modernization, increased safety and efficiency in drilling oil and gas wells. There are intrinsic uncertainties while drilling a well which carry risks with significant economic and HSE impact. I will present some solutions based on techniques such as sequential Monte Carlo, Bayesian networks and Gaussian processes which we developed for the prevention and mitigation of some risks as well as enabling automation.



This talk is part of the Isaac Newton Institute Seminar Series series.

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