Reservoir
This paper describes development of a high-temperature water-based reservoir drill-in fluid using a novel synthetic polymer and customized with optimal chemical concentrations and sized calcium carbonate.
The objective of this microfluidic investigation is to identify and test two novel applications for magnetic fluids in porous media for subsurface oilfield applications.
The aim of this study is to incorporate detailed geological, petrophysical, and hydraulic fracturing models to better predict and mitigate the effects of interbench interactions.
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This study integrates physics-based constraints into machine-learning models, thereby improving their predictive accuracy and robustness. -
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 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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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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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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The latest merger and acquisition report from Enverus Intelligence Research shows deal value fell 21% quarter over quarter.
