Yousef Hamedi Shokrlu is a Data Science Advisor, specializing in applying advanced analytics and artificial intelligence to optimize oil and gas operations. With a Ph.D. and M.Sc. in Petroleum Engineering and over a decade of combined experience in industry and research, Yousef bridges the gap between energy engineering and cutting-edge data science.
At Ovintiv, he has led projects that integrate machine learning, physics-based models, and domain expertise to improve production forecasting, equipment reliability, and operational decision-making. His recent work focuses on leveraging AI-driven optimization for plunger-lift and gas-assisted plunger-lift (GAPL) wells, enabling operators to maximize production efficiency, reduce downtime, and extend equipment life.
Passionate about practical AI adoption in energy, Yousef combines technical rigor with a focus on actionable results, helping teams translate complex algorithms into field-ready solutions.
As wells reach the end of their productive life, maximizing output becomes increasingly complex, especially for artificial lift systems like plunger lift and gas-assisted plunger wells. This session explores how machine learning is being used to optimize production by identifying the ideal shut in and flow times, gas injection rates, and equipment configurations. After a successful pilot, Ovintiv is moving toward full automation, allowing models to recommend optimal settings and prioritize wells for intervention.
Check out the incredible speaker line-up to see who will be joining Yousef.
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