Enhanced recovery
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.
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.
This paper aims to present thoroughly the application of subsurface safety injection valves in extremely high-temperature environments.
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India’s state oil company is accepting proposals from potential technical service partners until 15 September for EOR projects in the Arabian Sea. -
The SPE IOR-EOR Terminology Review Committee has opened a period for public comments on a draft technical report.
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This paper describes a data-driven approach for liquid-loading detection and prediction that harnesses high-frequency gas-rate and tubinghead-pressure measurements to identify the onset of liquid loading and correct critical rates computed by empirical methods.
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This paper outlines the importance of numerical rate transient analysis for dry gas wells, describing a simple, fully penetrating planar fracture model.
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This paper highlights an approach of using active hydrogen to stimulate hard-to-recover formations from candidate-well selection through pilot execution and evaluation.
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The authors investigate the utility of applying unconventional technology to low- or variably producing carbonate reservoirs to increase estimated ultimate recovery and decrease development-scale variability.
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The honor recognizes recipients for their lasting and significant contributions in the field of IOR.
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By acquiring Eni’s two producing shallow-water assets, Hilcorp will become the largest offshore oil producer on Alaska’s North Slope.
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Pilots and papers are plentiful, but the shale sector has no big enhanced oil recovery projects to speak of. It may just have to stay that way for a while.
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This study proposes a hybrid model that combines the capacitance/resistance model, a machine-learning model, and an oil model to assess and optimize water-alternating-gas (WAG) injectors in a carbonate field.
