Reservoir
More than 150 researchers will work on the Libra Rocks project, which aims to unlock insights that could improve recovery and reservoir management in one of Brazil’s largest offshore oil fields.
The Middle East’s largest unconventional gas development officially begins production as Saudi Aramco targets 6 million BOE/D of gas and liquids capacity by 2030.
This paper provides an account of the design, implementation, and operational insights from an enhanced geothermal system proppant stimulation targeting a volcanic, dry rock setting with an approximately 330°C bottomhole temperature.
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High prices for untapped drilling locations in the Permian Basin have sparked some new trends in the tight oil dealmaking space.
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Aramco’s investment pivot to gas aims to propel Saudi Arabia into the top tier of gas producers and LNG players globally by 2030.
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The Integrated Reservoir Management Technical Section is committed to unite a community of technical professionals and academia driven to enhance reservoir performance by harnessing technological innovations and creating a collaborative space for strategic discussions and sustainable practices.
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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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The deal significantly expands the company’s position in the Bakken Shale play of North Dakota.
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The authors of this paper review the advantages of machine learning in complex compositional reservoir simulations to determine fluid properties such as critical temperature and saturation pressure.
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This work presents an integrated multiphase flow model for downhole pressure predictions that produces relatively more-accurate downhole pressure predictions under wide flowing conditions while maintaining a simple form.
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This study describes a technique combining borehole acoustic reflection imaging with production logging in a horizontal well experiencing high water cut with the aim of enabling a mitigation plan.
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This paper details how the reservoir modeling workflow can be accelerated, and uncertainty reduced, even for challenging greenfield prospects by constructing multiple small fit-for-purpose integrated adaptive models.
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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.