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This study aims to use machine-learning techniques to predict well logs by analyzing mud-log and logging-while-drilling data.

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

The use of real-time wireless downhole pressure gauges proved a valuable alternative to workover operations in two onshore fields in Iraq.

This paper describes a risk-based self-verification process conducted through a bespoke software application.

With the right infrastructure and interoperability, subsea resident robotics could unlock more frequent, cost-effective inspections—and a new standard for offshore efficiency.

This paper discusses and demonstrates the limitations of quantitative risk assessment (QRA) with respect to the usefulness of the concept in managing day-to-day and emerging risks as well as the effect of change.

Emerging solutions could solve current subsea pain points, while a new taxonomy system could clarify the capabilities of the expanding domain of underwater vehicles.

This study explores enhancing gas production through a novel combination of prestimulation using a coiled tubing unit and high-rate matrix acidizing.

This paper describes a tool that complements predictive analytics by evaluating top health, safety, and environment risks and recommends risk-management-based assurance intervention.

Bad vibes are being addressed by contractors as operators push to go faster, deeper, and longer with unconventional wells.

Big oil companies are backing direct lithium extraction while the market flashes warning signs.

As LNG projects sanctioned earlier this decade come onstream, a shortage of new final and pre-final investment decisions threatens to leave the project pipelines dry at a time when global LNG demand is forecast to surge over the next 15 years.