Uncertainty and variability runs through the very core of engineering activities in the oil & gas industry. Whether it is making a billion-dollar decision from very limited field data, having to design ultra-reliable equipment that performs optimally in extreme conditions, or introducing more efficient processes, experts in the oil & gas field must understand the sources of these uncertainties, be able to compute them, and find ways to reduce them and make decisions in their presence.
This webinar is an introduction to Uncertainty Quantification and predictive modeling techniques for reservoir engineers, drilling engineers, equipment design teams, simulation engineers and data scientists in the oil & gas industry who want to find ways to reduce time, improve design robustness, or make better decisions from the data they have. The webinar includes a software demonstration for a case study that quantifies the uncertainty for a CFD example.
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