Reservoir

The 2-day event will explore the evolving role of quantum computing in oil and gas applications.

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.

Mark your calendars for the second SPE Live featuring the 2025 TWA Energy Influencers.

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.

Cleopatra Folakemi St. Michael, SPE, shares how her internship experience gave her the confidence to connect theory with practice, to think critically, and to understand that innovation often begins with simple observations.

Part 2 of this two-part series focuses on the disciplines of drilling engineering and production engineering.

AI is beginning to transform well management by helping engineers predict electrical submersible pump failures before they happen, optimize drawdown more efficiently, and generate reliable forecasts even when data is scarce or noisy.

Part 1 of this series focuses on the disciplines of geology and geophysics, petrophysics, and reservoir engineering using real-world field examples from Malaysia and the author's experiences in training undergraduate students in Malaysian universities.

This article examines the safety of geological carbon storage by addressing common concerns, presenting evidence-based assessments, and exploring the actual measures in place to ensure its secure and responsible deployment. 

A study employed a rigorous mathematical model to estimate the quantity of recoverable geothermal heat in Nigeria’s subsurface formations.