Enhanced recovery
The paper presents the design and successful field deployment of the first closed-loop hydraulic fracturing program.
This paper reviews fracturing-program design, completion technology, real-time data collection, data integration, and lessons learned for the Pikka development on the North Slope of Alaska.
This paper presents a case study of a tool-free fishbone fracture stimulation technology using sand jetting and acidizing in openhole wells, providing a technical solution for low-permeability and complex-lithology carbonate reservoirs in the Middle East.
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This paper discusses a comprehensive hybrid approach that combines machine learning with a physics-based risk-prediction model to detect and prevent the formation of hydrates in flowlines and separators. -
The objective of this microfluidic investigation is to identify and test two novel applications for magnetic fluids in porous media for subsurface oilfield applications.
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This paper explains that the discovery of specific pressure trends, combined with an unconventional approach for analyzing gas compositional data, enables the detection and prediction of paraffin deposition at pad level and in the gathering system.
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SponsoredSince 1997, intelligent completions have transformed reservoir management, but adoption remains limited due to perceived complexity. The industry reached a pivotal moment with the development of next-generation technologies that address longstanding challenges and offer simpler operation solutions.
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This study explores the feasibility of implementing in-situ carbon dioxide recycling for sequestration as a fit-for-purpose developmental strategy for a Malaysian gas field characterized by an initial carbon-dioxide content of approximately 60%.
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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.
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This paper presents a novel workflow with multiobjective optimization techniques to assess the integration of pressure-management methodologies for permanent geological carbon dioxide storage in saline aquifers.
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This paper reviews lean construction management processes adopted in the Apani Field development, from facility design to construction management and drilling-location preparation.
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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 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.
