Data & Analytics
AI is evolving into a practical tool that helps geoscientists and engineers work faster, evaluate more opportunities, and manage subsurface uncertainty.
Digital drilling technologies are enabling a shift toward more predictive, efficient, and sustainable operations.
Breakthroughs in energy, similar to those seen in AI, require coordinated progress across multiple fields and the resolution of structural bottlenecks. As a result, a successful energy transition depends on integrated advances in infrastructure, policy, technology, and investment rather than isolated efforts.
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Marie-Hélène Pelletier presents a proactive framework for building resilience, managing uncertainty, and maintaining performance as AI reshapes work and life. -
AI is transforming oil and gas, but the real change will come from young professionals (YPs) who bridge technology and field expertise. By leading pilots, building networks, and challenging old assumptions, YPs can drive the industry’s digital transformation from within.
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PE Ltd.'s software will allow students and faculty to work directly with modeling technologies and build real-world, job-ready skills.
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By integrating AI into every layer of the energy ecosystem, from renewable forecasting to dynamic pricing, the path toward secure, sustainable, and affordable energy becomes not just possible but achievable.
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Geophysicist Markos Sourial discusses advances in seismic imaging, the challenges of modern data processing, and what they mean for the next wave of subsurface professionals.
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SPE and The Open Group have signed a memorandum of understanding to advance collaboration and innovation in the global energy industry.
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Prospective students can explore Montana Tech's engineering programs including mining, petroleum engineering, and computer science, on 14 November at Montana Tech's Fall Tech Day.
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Researchers at Colorado School of Mines explore an internally deployed fiber-optic distributed acoustic sensing (DAS) method for continuous gas-pipeline monitoring, demonstrating its potential to improve leak detection, enable early intervention, and enhance overall pipeline-integrity management compared to conventional inspection techniques.
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For YPs entering the industry, cracking the data code is more than a technical exercise; it’s your power skill and your competitive edge.
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In the real world, where data is messy and workflows are rarely linear, automation often fails. That's where agentic AI comes in.
