As a Digital Innovation and Technology Specialist at BP, I bring six years of pioneering experience in the digital technology and energy sectors. With a PhD in Chemical Engineering from the Colorado School of Mines and a Master's degree in Data Science from UC Berkeley, my expertise lies in harnessing machine learning, deep learning, and reinforcement learning to enhance quality, automation, and efficiency in the oil, gas, and renewable energy fields. My notable contributions include the development of an AI-driven advisory system for fracpack optimization and innovative solutions for wind energy optimization, showcasing my commitment to advancing digital transformation in energy.
The potential reinforcement learning (RL) offers when it comes to optimizing results through artificial intelligence (AI) is huge. Understanding the applications of RL and the move towards autonomous task performance, as well as how to manage the risks that come with it, will allow you key time and efficiency gains in the future and will pave the way to truly intelligent energy production. Dr Yue Hu will discuss:
Check out the incredible speaker line-up to see who will be joining Yue.
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