artificial intelligence

The Norwegian major said it is using artificial intelligence for predictive maintenance throughout its facilities and for interpretation of seismic data from the Norwegian continental shelf.

Even as output hits record highs, a growing recognition of the Permian’s maturity is opening the door for new technologies to improve performance.

This paper describes an auto-adaptive workflow that leverages a complex interplay between machine learning, physics of fluid flow, and a gradient-free algorithm to enhance the solution of well-placement problems.

Switching from continuous circulation to cyclic huff-‘n’-puff operation in enhanced geothermal systems can significantly delay thermal breakthrough, sustain higher production temperatures, and improve long-term economic performance.

The Federal Reserve Bank of Dallas’ fourth-quarter energy survey shows that oil prices and geopolitical uncertainty are curbing enthusiasm heading into the new year.

The two companies say they plan to work together to use agentic AI to increase the capabilities of technical experts.

This article is the first in a Q&A series from the SPE Methane Emissions Management Technical Section (MEMTS) on methane intelligence and how oil and gas teams translate emissions data into credible decisions and measurable reductions.

Sustainability in reservoir management emerges not from standalone initiatives but from integrated, data-driven workflows, where shared models, closed-loop processes, and AI-enabled insights reduce fragmentation and make sustainable performance a natural outcome.

Data and impartial viewpoints can help de-risk exploration portfolios and keep resource estimates in check.