Enhanced recovery
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%.
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 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 study combines preshear degradation, permeability, and oil presence effects to evaluate and improve polymer injectivity using acrylamido tertiary butyl sulfonate (ATBS) polymer in carbonate rock.
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The authors of this paper describe reservoir-fluid-geodynamics processes that explain the reasons behind varying oil compositions and properties within and across different reservoir compartments.
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This work investigates the root cause of strong oil/water emulsion and if sludge formation is occurring within the reservoir using a robust integrated approach.
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In this work, a perturbed-chain statistical associating fluid theory equation of state has been developed to characterize heavy-oil-associated systems containing polar components and nonpolar components with respect to phase behavior and physical properties.
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This paper aims to present thoroughly the application of subsurface safety injection valves in extremely high-temperature environments.
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This paper presents a comprehensive model of geothermal exploitation for depleted deep heavy oil reservoirs through supercritical CO₂ injection.
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In a deal described as possibly "one of the most important transactions BP has done in 20 years" by CEO Murray Auchincloss, the company has agreed contractual terms with the Iraqi government to invest in drilling and infrastructure to rehabilitate and boost production at the Kirkuk oil field.
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Investigation into the parameters affecting the displacement efficiency of CO2 injection under miscible and near-miscible conditions in the presence and absence of mobile water saturation using carbon dioxide core injection experiments.
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The authors present an open-source framework for the development and evaluation of machine-learning-assisted data-driven models of CO₂ enhanced oil recovery processes to predict oil production and CO₂ retention.
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The authors of this paper propose hybrid models, combining machine learning and a physics-based approach, for rapid production forecasting and reservoir-connectivity characterization using routine injection or production and pressure data.