Safety

This paper focuses on developing a model that can be used in an automated, end-to-end flare-smoke detection, alert, and distribution-control solution that leverages existing flare closed-circuit television cameras at manufacturing facilities.
This paper presents a physics-informed machine learning method that enhances the accuracy of pressure transient analysis, predicting reservoir properties to enhance waste slurry injection and waste disposal.
Through realistic simulations, virtual reality allows for an unprecedented level of immersion and interactivity that traditional training methods cannot offer.

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