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SPE Oslo Technical Event: DL Dinner with Justo Matheus

When

Thursday, 1 October 2026 at 17:00

Where

Olivia Eger, Karl Johans gate 23, 0159

Price

From NOK 93.00

The Society of Petroleum Engineers (SPE) Oslo Section is pleased to invite you to a Technical Event on Thursday, 1st October 2026, where SPE Distinguished Lecturer Justo Matheus will present “Everything Is an Optimization Problem: The Next Frontier Using Data and Models.” Agenda: 17:00 :Welcome and Icebreaker 17:30 :Presentation and Q&A 18:30–20:00 :Dinner, Drinks and Networking Technical Event Details Abstract: In the era of digital transformation, the petroleum industry faces a critical challenge: how to extract actionable insights from vast amounts of data while optimizing operational decisions. Nearly every aspect of our industry is, at its core, an optimization problem. Even recent breakthroughs in Artificial Intelligence are largely driven by advances in optimization algorithms. One key challenge is balancing high-fidelity physics-based models with real-time data assimilation. Traditional full-scale simulations are computationally expensive and impractical for fast decision-making. Reduced Order Models (ROMs) provide a solution by creating simplified representations that maintain accuracy while significantly reducing computational costs. We will explain how optimization algorithms in combination with data-driven reduced order model can be used for decision-making, and how optimization could revolutionize complicated well intervention workover scheduling using a portfolio management approach. Biography: Justo Matheus, a Principal Engineer at SLB, has over 25 years of experience in optimization, control systems, and machine learning for petroleum engineering. With a Magister in Control Systems, he began his career in 1997 as an Automation Engineer and later transitioned to become Principal Data Scientist. He joined SLB in 2006 as a Senior Control Systems Engineer, he has been instrumental in the development of Rotary Steerable Systems (RSS). For more than 15 years, he specialized in Reduced Order Models (ROMs), Process Control, and Optimization; turning complex physical phenomena into clear, data-driven models.

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