artificial intelligence

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.

Your willingness to contribute ideas and field experience helped strengthen a global community committed to advancing safe and responsible energy development.

Of the total approved by ADNOC’s board, $50 billion will be invested in Canada under a framework agreement targeting projects in AI, energy, and mining.

This paper introduces an AI-driven digital fencing system designed to boost security in oil and gas fields. The main objectives are to improve security and safety of oil and gas facilities while addressing the limitations of legacy physical barriers, reducing false alarms, and eliminating the dependability on the grid in favor of renewable energy.

Even as industry faces policy and tariff uncertainty, companies view spending on digital transformation as a driver of efficiency.

Geophysicist Markos Sourial discusses advances in seismic imaging, the challenges of modern data processing, and what they mean for the next wave of subsurface professionals.

The Tela artificial intelligence assistant is designed to analyze data and adapt upstream workflows in real time.