Data & Analytics
This commentary by the chair of the SPE Data Science and Engineering Analytics Technical Section examines how AI is reshaping petroleum engineering careers, highlighting growing risks to entry‑level training, judgment development, and the future pipeline of subject-matter experts in high‑consequence industries.
Lean Six Sigma, through its DMAIC framework, offers a data‑driven approach for reducing waste and variation in oil and gas operations and is explored here as a practical solution for improving drill-bit inventory and lease management despite limited industry adoption.
The 2-day event will explore the evolving role of quantum computing in oil and gas applications.
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The event, taking place on 2 April, will explore the theme "Beyond Automation: AI as the Catalyst Reshaping the Oil and Gas Industry." -
Agentic AI could help upstream oil and gas operations reduce emissions by enabling real-time methane detection, optimizing flaring and energy use, and improving carbon capture efficiency.
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This article examines how domain experts can use no-code ML platforms to explore decision-relevant problems, validate hypotheses, quickly build prototypes, and engage more effectively with data science teams when solutions transition toward production.
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AI-driven analytics and digital platforms are reshaping offshore operations, enabling smarter, faster decision-making.
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Venezuela’s oil recovery will depend on restoring disciplined, reliable day-to-day operations by stabilizing existing assets, fixing operational failures, and using practical tools to rebuild predictable production.
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The free, virtual program is designed to help participants build data-driven capabilities for the energy industry.
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Digital transformation in oil and gas depends less on adopting advanced technologies and more on maturing data so people and processes can reliably convert raw information into aligned, asset-level value.
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As global electricity demand surges, driven by AI, digitalization, and electrification, offshore innovation, spanning oil and gas, renewables, nuclear, and data infrastructure, will be critical to delivering a cleaner, more resilient energy future.
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Agentic AI can enhance subsurface workflows when its autonomy is deliberately designed around physics, data integrity, and accountable decision-making through architectures that separate reasoning, computation, interpretation, and validation.
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For more than a century, LSU has shaped petroleum engineering education, but few assets showcase its impact like the PERTT Lab. With six deep test wells and rare reservoir-depth gas-injection capabilities, the facility is helping drive breakthroughs in well control, carbon-dioxide injection, and next-generation energy technologies.
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