artificial intelligence

Schneider Electric says the deal advances its vision of creating intelligent industrial ecosystems that connect physical assets with digital insights across the asset life cycle.

This article from the SPE Methane Technical Section features Arvind Ravikumar of the University of Texas at Austin and focuses on how the Energy Emissions Modeling and Data Lab is integrating satellite observations, facility-level measurements, operational data, and emissions inventories into more credible methane accounting for oil and gas systems.

This case study describes how edge computing and industrial internet of things platforms were deployed to automate and optimize production operations across four distinct basins.

The US supermajor will use Permian Basin natural gas to support the hyperscaler’s AI business.

Industry experts at URTeC assessed more than a decade of unconventional growth while discussing where productivity gains will come from next.

Analysis by the energy research firm sees the value of artificial intelligence growing for exploration and production companies, but the company said increased investment will be necessary.

The company says its curated service aims to connect energy professionals, developers, and partners to discover, deploy, and scale trusted AI agents, domain models, and digital applications.

This paper proposes a novel, real-time pump failure prediction method using machine learning with scaled load ratio to accurately predict pump failures using only surface pump load data.

The deployment of a new heavy-duty robotic system aims to reduce workforce exposure to high-risk areas while improving detection of potential leaks.

Aramco says it has saved $770 million over the past 3 years from the $70 million it has invested over the same period in corrosion management technologies.