Next in Energy

Microgrids are no longer niche innovations—they have become a foundational component of modern energy infrastructure. Realizing their full potential will require targeted policy reform, clearer regulatory frameworks, and greater access to innovative financing models.

Tiger Skid, a custom-built cyber-physical training and testing platform, simulates real-world energy systems and industrial processes vulnerable to cyber-physical attacks.

This article explores the integration of hydrogen into existing natural gas infrastructure and introduces practical solutions, including the application of machine learning models, to support decision-making and infrastructure adaptation in the energy transition.

As the energy sector rapidly evolves to address climate change, tools such as the En-ROADS Climate Solutions Simulator are essential for young professionals seeking to understand the complexities of the transition and make informed, impactful decisions.

Artificial intelligence is transforming—not replacing—petroleum engineering. As AI-driven, data-centric methods replace traditional deterministic models, engineers must adapt by acquiring skills in data science, algorithmic thinking, and software tools. The industry’s evolution raises a critical question: Will petroleum engineers evolve with these changes or risk beco…

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.

The 2025 S&P Global Market Intelligence Report presents an analysis of the burgeoning financial risks stemming from physical climate hazards and a lack of corporate preparedness.

Mineralogical, mechanical, and flow complexities in major US shale plays are tightly linked, making traditional 1D modeling inadequate. Emmanuel Obasi, SPE, addresses this with a physics-informed ML approach detailed in this article.

Students at the Melbourne, Australia, university took home first place at the 32nd US-based Intelligent Ground Vehicle Competition.