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A fundamental research study is conducted to confirm the potential usefulness of chelating agents in dispersing settled barite, emphasize the complex nature of the factors that control this process, and provide a solid basis for future studies aimed at optimizing dispersion methods in industrial applications.
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This paper proposes a holistic, automatic, and real-time characterization of cuttings/cavings, including their volume, size distribution, and shape/morphology, while integrating 3D data with high-resolution images to pursue this objective for use in the real-time assessment of hole cleaning sufficiency and wellbore stability and, consequently, for the prediction, prev…
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This paper presents a novel modeling framework for predicting residual oil saturation in carbonate rocks. The proposed framework uses supervised machine learning models trained on data generated by pore-scale simulations and aims to supplement conventional coreflooding tests or serve as a tool for rapid residual oil saturation evaluation of a reservoir.
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This paper presents a clear and consistent method for determining dead and live crude EACNs using a single reliable method, highlighting a graphical way to determine the optimal salinity and its uncertainties using real data.
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This paper presents a unique investigation into determining the sufficient concentration of hardness ions required to significantly reduce the adsorption of acrylamide-tertiary-butyl-sulfonate-based polymer with a focus on mitigating polymer retention in carbonate formations using softened brine.
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A comprehensive study looks at the sealing efficiency of eutectic bismuth-tin alloy plugs in wells slated for plugging and abandonment through laboratory testing, microscopy analyses, and numerical simulations.
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his paper presents research and application of a sustainable, low-density geopolymer alternative to Portland cement for cementing applications in low-temperature wells.
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Fundamental research conducted to derive a transport model for ideal and partitioning tracers in porous media with two-phase flow that will allow fast and efficient characterization and selection of the correct tracer to be used in field applications.
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A self-updating and customizable data-driven strategy for real-time monitoring and management of screenout, integrated with proppant filling index and safest fracturing pump rate, is proposed to improve operational safety and efficiency at field scale.
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A seismic prediction model is developed and presented in a case study to simulate the magnitude and timing of triggered seismic events with the intent to manage and mitigate environmental impacts resulting from induced seismicity during subsurface development activities.