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 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.

Updates about global exploration and production activities and developments.

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.

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 work introduces a fast, methodical approach to detect liquid loading using easily available field data while avoiding traditional assumptions and to determine critical gas rates directly from field data.

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