Machine Learning for Real-Time Hydrate Risk

Andrew Yule

This talk will discuss how the advanced neural network framework within Wolfram Language was used to train and develop a model built from simulation-based data that went on to be used for real-time monitoring of hydrate formation risk at an LNG (liquified natural gas) facility.