Testing page for app

This paper describes numerical modeling studies of fracture-driven interactions using a coupled hydraulic-fracturing-propagation, reservoir-flow, and geomechanics tool.

The papers highlighted in this section demonstrate the merging of the theoretical and empirical to solve practical problems, addressing topics such as casing deformation, condensate banking, and mitigation of fracture-driven interactions.

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.