Latest News

BP called the Bumerangue discovery in the Santos Basin the company’s largest find in 25 years, and announced it had begun production from its tieback project at Argos ahead of schedule.

The Data Science and Engineering Analytics Technical Section has been selected to receive the 2025 Presidential Award for Outstanding Technical Section, and the Hydrogen and Sustainable Development technical sections have been awarded the 2025 Technical Section Excellence Award.

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

This study integrates physics-based constraints into machine-learning models, thereby improving their predictive accuracy and robustness.

This paper introduces a machine-learning approach that integrates well-logging data to enhance depth selection, thereby increasing the likelihood of obtaining accurate and valuable formation-pressure results.

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

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

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.

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

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

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