Reservoir
This paper discusses waterflooding and field-development implications of subsea seawater treatment for improved oil recovery.
This paper presents laboratory-testing methods and evaluation criteria designed to improve understanding of both the origin and extent of formation damage associated with CO2 injection.
This work presents an evaluation for carbon capture, utilization, and storage projects in the UAE for two wells in a saline water aquifer with respect to caprock integrity and water sampling.
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The latest acquisition strengthens Cenovus Energy’s position as Canada’s largest SAGD producer. -
The collaboration has announced Closed Loop Fracturing, which combines real-time subsurface data with automated surface control.
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Shale’s slowdown leaves room for OPEC+ gains as tensions rise between the US and India over Russian oil imports.
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The number of high-impact wells drilled across the globe this year are expected to be on trend with the most recent 5-year average.
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This study aims to use machine-learning techniques to predict well logs by analyzing mud-log and logging-while-drilling data.
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This study integrates physics-based constraints into machine-learning models, thereby improving their predictive accuracy and robustness.
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This paper introduces a machine-learning approach that integrates well-logging data to enhance depth selection, thereby increasing the likelihood of obtaining accurate and valuable formation-pressure results.
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This study presents the development of a novel modeling tool designed to predict condensate emulsions, focusing on key factors causing emulsions such as pH, solid content, asphaltene concentration, droplet size, and organic acids.
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This study explores enhancing gas production through a novel combination of prestimulation using a coiled tubing unit and high-rate matrix acidizing.
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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.
