Testing page for app

This paper highlights a new online system for monitoring drilling fluids, enabling intelligent control of drilling-fluid performance.

This study explores the potential of locally produced surfactants for enhanced oil recovery in high-temperature and high-salinity reservoir environments.

A proposed integrated workflow aims to guide prediction and mitigating solutions to reduce casing-deformation risks and improve stimulation efficiency.

This paper investigates the use of machine-learning techniques to forecast drilling-fluid gel strength.

International agreements and national policies on environmental sustainability are changing the outlook for enhanced oil recovery globally. These changes are highlighted by both monetary and intellectual commitments by oil companies around the world.

This paper aims to close some of the many knowledge gaps that exist in the field of drilling CO₂ storage wells, a task that is expected to involve handling an influx of CO₂ into the drilling fluid.

This year’s primary selections for the Drilling and Completion Fluids Technology Focus reflect now-well-established industrywide emphases on machine learning, automation, and the achievement of successful drilling of CO₂ storage wells.

This paper describes a polymer-injection pilot in the Chichimene heavy oil field in Colombia.

The road to a low-carbon world is paved with more than just shiny new facilities and the promise to deliver impressive CO₂ reductions from the atmosphere. Without the software to site, monitor, and maintain those facilities, the drive for net zero would be stuck in neutral.

SPE technical papers synopsized in each monthly issue of JPT are available for download for SPE members for 2 months. These October and November papers are available now.