Testing page for app

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.

Understanding cumulative risk becomes increasingly important as a facility is exposed to multiple risks, the degradation of some controls, and influencing factors such as human performance or weather.

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

Subsea systems and advanced offshore engineering play an essential role in the planning and execution of world-class deepwater major capital projects, overcoming associated multidimensional offshore challenges and risks in both full-field development and brownfield life extension.

This section lists with regret SPE members who recently passed away.

SPE technical papers synopsized in each monthly issue of JPT are available for download for SPE members for 2 months.

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.