Daniel Kim is a Process Automation Engineer at ANDRITZ since November 2021, specializing in simulation modeling, digital twin development, and performance optimization. Notable achievements include the development of digital twin models and a leak detection system, enhancing process control and pipeline integrity. Previously, Daniel held consulting roles at Wood, contributing to the Sangomar project and gaining extensive exposure to various production systems. As Vice President of SPE UWA, Daniel managed events and fostered industry connections, while experience at Rio Tinto involved improving process efficiency and conducting feasibility analyses. Daniel holds a Master's and Bachelor's degree in Chemical Engineering from The University of Western Australia.
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