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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.

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

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 project in the heavy oil Captain field in the UK sector of the North Sea in which reduced environmental impact dovetails with improved economics.

This paper presents a specialized workflow that aims to quantify the severity of condensate banking and subsequently optimize reservoir development strategies for a deep formation in the Permian Basin.

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 reports the observation of stealth asphaltenes, a potential flow-assurance issue, by means of experimental analysis.