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Accurate Scale - Crossref

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Last Updated: 04 November 2022

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Addressing the Challenges of Simulating EOR and CO2 Storage Projects at Reservoir Scale: Accurate Estimation of Trapped Gas Saturation

Abstract The estimation of the storage capacity of the selected aquifer or depleted reservoir is one of the first and most significant steps in the feasibility investigation and site selection of geological CO2 storage facilities. The number of CO2 stored as a result of capillary trapping is significantly higher than that found in other active mechanisms, according to the author. The hysteresis in relative permeability is also a direct result of trapped gas saturation, and it's also of determining simulating any other process involving cyclic injection of fluids in subsurface reservoirs. Gas storage facilities and reservoirs under Enhanced Oil Recovery injections are two instances of the cyclic process in subsurface reservoir engineering. We present a comprehensive review of the reservoir scale simulation findings using commercial software in this article, as well as the difficulties encountered in estimating trapped gas saturation. Accurate determination of saturation rates in various reservoir grid blocks is also challenging, given that small oscillations make it impossible to determine the flow reversal points. When the composition of trapped gas saturation makes mass transfer calculations, a significant amount of error is introduced in compositional simulations, and the trapped gas is dissolved again in the oil phase. Lastly, an inaccurate representation of saturation-dependent functions can lead to increase the chance of calculating relative permeability estimates using trapped gas saturation. As a result, the performance of EOR methods, the site selection for CO2 storage projects, and the decision-making process can be based on more detailed information.

Source link: https://doi.org/10.2118/211366-ms


Adversarial domain translation networks for fast and accurate integration of large-scale atlas-level single-cell datasets

To find harmonized representations of datasets, we created Portal, a unified framework of adversarial domain translation. Portal is widely used for integrating databases from various surveys, applications, and data types, according to our reports. We demonstrate the versatility of Portal by extending it to the integration of cross-species databases with little shared details among them, providing new scientific insight into mouse, macaque, and human spermatogenesis processes, providing new insight into the evolutionary process that provides similar and divergences in the spermatogenesis process.

Source link: https://doi.org/10.1101/2021.11.16.468892

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions