13 bayesian-object-tracking positions at King Abdullah University of Science and Technology
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effective solution to mitigate GHG emissions that can be deployed at large scales. CCS may enable the industry to continue operating with reduced environmental footprint. The objective of this project is to
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integrate complex flow on Discrete Fracture Networks (DFN). The objective of this project is to develop a tool to generate DFN models amenable for multiphase flow, and scale up the model to be usable with
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slugs of fluids, fluid mixing and associated reaction may occur within the wellbore which is a function of various parameters such as the Reynolds number. The objective of this project is to develop a
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