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Content Tagged: "optimization"

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SPE Live Distinguished Lecturer Series: On the Intersection of Production Technology, Geothermal Energy, and Data Science
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SPE Live Distinguished Lecturer Series: On the Intersection of Production Technology, Geothermal Energy, and Data Science

This presentation bridges geothermal energy operation, data science, and production technologies to offer insights relevant to both geothermal and petroleum sectors. The content can be tailored to address key interests in operational optimization, data analytics, or artificial lift systems. Takeaway: Data-driven decision-making, adapted to the unique characteristics of geothermal assets, can improve operational efficiency and reliability. SPE DL: Pejman Shoeibi Omrani, Senior Scientist at TNO

Maximizing Waterflooding Value - Webinar May 6 2025
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Technical Section Webinar: Maximizing Waterflooding Value: Strategies, Technologies, and Future Outlook

Dr. Ganesh Thakur, Distinguished Professor at the University of Houston and former SPE President, presents a comprehensive approach to waterflooding success in both carbonate and sandstone reservoirs. The session highlights challenges and solutions in sweep efficiency, heterogeneity, reservoir surveillance, and the role of technologies like CO₂ flooding, intelligent completions, and AI/ML. Case studies from the Permian Basin (Denver Unit) and Nigeria’s Agbami Field demonstrate how disciplined project execution, reservoir understanding, and adaptive strategies can enhance recovery factors. The session concludes with practical insights for reservoir engineers and decision-makers managing complex field development projects.

SPE IRMTS webinar April 23 2025
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Technical Section Webinar: Real Time Production System Optimization and the Future Role of AI

In this webinar, Greg Grimshaw, CEO of PE Limited, shared insights into the evolution of optimization within the industry, drawing from the implementation of the Digital Oilfield (Dof) system across multiple fields. He highlighted current advancements in AI and large language models (LLMs) and their integration into oil and gas operations, particularly in operations and maintenance workflows.