artificial intelligence

This paper proposes how the strengths of cloud computing can become key enablers for oil and gas organizations in helping them enhance their overall security posture and manage risks within operational-technology environments.

A study led by researchers at the Euro-Mediterranean Center on Climate Change improves oil spill trajectory predictions by integrating artificial intelligence with traditional numerical ocean models. The research shows how to obtain more accurate and timely forecasts, enabling faster analyses and scenario testing, which could be a crucial development for emergency res…

Three SPE specialty publications are being retired, yet coverage of their respective topics will live on in JPT. The change gives members a single platform for upstream knowledge while streamlining SPE’s publishing operations.

Digitalization and advanced analytics have enabled drilling automation that is changing the way wells are executed to deliver more production earlier.

Real-time wellhead monitoring aims to help Romania meet new EU methane emission regulations.

This research aims to harness the advanced capabilities of artificial intelligence, specifically deep learning and large language models, to develop a comprehensive system for detecting and explaining oil spills.

The companies said they plan to start deploying digital twin technologies in Oman this year.

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.