Reservoir
In a study that applied alternative carbon carrier technology to enhanced oil recovery (EOR) scenarios, researchers at The University of Texas at Austin found that the new method recovered up to 19.5% more oil and stored up to 17.5% more carbon than conventional EOR methods.
This study assesses the advantages, constraints, and necessary enhancements of both passive and active electromagnetic techniques in the context of carbon capture and storage.
Casing deformation has emerged as a major challenge in China’s unconventional oil and gas fields, prompting the development of new solutions to address the issue.
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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. -
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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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.
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Bad vibes are being addressed by contractors as operators push to go faster, deeper, and longer with unconventional wells.
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A New Texas Two-Step: Why One Eagle Ford Producer Is Using Hydrocarbons for Well Stimulation and EORBlackBrush Oil & Gas tells JPT about its use of natural gas liquids and condensate to increase oil recovery in horizontal shale wells.
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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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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.
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The latest merger and acquisition report from Enverus Intelligence Research shows deal value fell 21% quarter over quarter.
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This paper studies the effect of salinity and hardness on partially hydrolyzed polyacrylamide rheology in sandstones with relevance to polymer flooding models and simulations.
