Production and Operational Optimization of Geo-Energy Systems with Artificial Intelligence

The operation of geo-energy systems is getting more and more complex due to the dynamic and non-linear production behavior which can be caused due to production instabilities, declining and/or end-of-production.

In this webinar the potential of artificial intelligence (AI) and machine learning (ML) for optimizing the complex operation of geo-energy systems is discussed. The audience is shown real-world cases that demonstrate the power of AI and ML in developing decision support systems for the oil and gas and geothermal energy sectors. Few examples which are covered in the webinar are real-time event detection in gas wells, reinforcement learning for minimizing slugging in wells and pipelines and digital twin of geothermal production assets. The importance of cross-sector learning is discussed, and examples of lessons learned from other industries are presented.

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