Over decades of exploration and production, the oil and gas sector has accumulated vast amounts of legacy data in various formats. Artificial intelligence and machine learning present an opportunity to transform how this unstructured data is processed and used, enabling significant improvements in operational efficiency and decision-making.

Terra Drone will support Aramco's operations and Saudi Arabia's technological and economic progress.

Organic data governance emphasizes flexibility, stakeholder engagement, and a culture that values data integrity.

SLB will use artificial intelligence-based software to help ensure the delivery of 18 ultradeepwater wells.

A robotic arm, camera system, and virtual reality helped EniProgetti and University of Naples researchers overcome the major challenges of direct-contact nondestructive testing using a drone.

Shell’s combination of digital worker technologies enables collaborative troubleshooting and inspections while reducing travel and boosting efficiency.

This paper describes a deep-learning image-processing model that uses videos captured by a specialized optical gas-imaging camera to detect natural gas leaks.

In this study, a deep-neural-network-based workflow with enhanced efficiency and scalability is developed for solving complex history-matching problems.

Whether it’s reviving inactive gas-condensate wells or identifying overlooked reserves in brownfields, operators are making the most of older wells and fields.

The company said that adding Altair technology to its Xcelerator open digital business platform will create the world’s most complete AI-powered portfolio of industrial software.