Testing page for app

This paper reviews best practices and learnings from floating-production-unit transportation and installation, hookup, and commissioning and discusses subsea flowlines, export pipelines, and subsea-equipment installations.

This paper addresses how close collaboration has enabled the development of a robust and cost-efficient solution for the Ormen Lange project by using carefully selected technology elements and an accelerated qualification process to mature them.

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.

Updates about global exploration and production activities and developments.

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.

A compelling triptych of recent research showcases the burgeoning capacity of machine learning to unlock substantial efficiencies and enhance decision-making across the exploration and production lifecycle.

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

This paper discusses the journey of the Bonga North project, highlighting challenges and resolution strategies in a constantly changing deepwater environment.