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The latest updates on the North American shale sector’s efforts to consolidate and restructure.

Imagine the time when we are no longer concerned about the digital-transformation issues we face today, such as data availability, security, and many others. This would be the time when companies make the best out of digital infrastructure. This era might be here sooner than expected.

One year after the Johan Sverdrup field came on stream, Equinor says digital technology has proven to be key to safety and value in all parts of the operation, increasing earnings by more than $200 million.

Equinor plans to cut its global exploration staff by 30% in the next 3 years and plans to drill 30–40 wells globally this year. Ongoing labor strikes have led to the operator shutting in four of its platforms.

Incorporating imagination into AI agents has long been an elusive goal of researchers in the space. Imagine AI programs that are able not only to learn new tasks but also to plan and reason about the future.

When a plug gets stuck in a well, consider the cause. Often stuck fracturing tools are a warning sign of casing trouble. Companies that have investigated plug problems have been surprised by the findings.

Plugging and cleaning up the open oil and gas wells in Texas could cost companies and taxpayers as much as $117 billion, according to a new report.

Total Chief Executive Officer Patrick Pouyanne called on European nations to help Mozambique fight an insurgency, backed by Islamic State, in part of the East African nation where the energy company is developing a natural gas project.

The rise of automation has been a common theme in stories that touch almost every business sector. One of the places where automation has shown the most value has been in enterprise security, where it can reduce costs and mitigate vulnerabilities in many instances.

The complete paper provides an approach using machine-learning and sequence-mining algorithms for predicting and classifying the next operation based on textual descriptions.

The complete paper describes an automated machine-learning approach to determine the spatial variation in decline type curves for shale gas production, based on existing data of production, completion, and geological parameters.

The sale of Chevron’s interest in the IDD project is part of its cost-cutting measures.