artificial intelligence

This article is the fourth in a Q&A series from the SPE Research and Development Technical Section focusing on emerging energy technologies. In this piece, David Reid, the CTO and CMO for NOV, discusses the evolution and current state of automated drilling systems.

Oil and gas experts encourage human/AI partnerships that can “supercharge” capabilities to create competitive advantages.

Deploying artificial intelligence across an enterprise requires thinking beyond the pilot.

The fifth edition of the SPE Europe Energy GeoHackathon, beginning on 1 October, focuses on how data science can advance geothermal energy and drive the energy transition.

SPE members who are in Houston next month can join thousands of peers with a complimentary exhibition pass to ATCE 2025.

The upstream industry has viewed real-time completions as a long-term goal, but the technology is already in use.

Traditionally, the drilling industry has relied on high-fidelity thermal simulators to predict downhole temperature for different operational scenarios. Though accurate, these models are too slow for real-time applications. To overcome this limitation, a deep-learning solution is proposed that enables fast, accurate prediction of downhole temperatures under a wide ran…

This article explores how the pursuit of a "perfect" reservoir model may be hindering progress in an industry increasingly shaped by data, uncertainty, and AI.

The companies are joining forces to work on large-scale industrial data collection across TotalEnergies’ operational sites, aiming to use continuous, real-time data collection to optimize performance.

The Energy and AI Observatory aims to use up-to-date information on energy demand from data centers to determine how artificial intelligence is optimizing the energy sector.