Technical Topics

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.

Steel and cement are indispensable to modern society and the global energy transition, yet their production remains heavily dependent on fossil fuels—making them major contributors to greenhouse-gas emissions and posing a critical challenge to achieving full decarbonization by 2050.

This article introduces a tender strategy framework—a four-pillar model built on nearly 2 decades of international upstream experience—that integrates engineering rigor with business strategy to improve contract awards, strengthen transparency, and deliver lasting project performance.

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.

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

In the real world, where data is messy and workflows are rarely linear, automation often fails. That's where agentic AI comes in.

Mircea Calarasu, SPE, takes us offshore to share lessons from a scale squeeze campaign in the North Sea.

This article outlines observations regarding P&A design and analyzes what can be done better to strengthen safety, reliability, and sustainability.

For upstream operations, blockchain can help in delivering trusted and secure data, faster transactions, and increased collaboration across complex data chains.

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.