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Incompressive cake filtration: Mechanism, parameters, and modeling

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Abstract

Improved models developed verify interpretation and prediction of incompressible filter cake thickness, filtrate volume, and rate data for linear and radial filtration cases at static and dynamic conditions. Based on the methods for determining model parameters from experimental filtration data, three sets of experimental data were analyzed, which demonstrate the diagnostic and predictive capabilities of the model. These models provide insight into the mechanism of incompressible cake filtration and offer practical means of interpreting experimental data, estimating the model parameters and simulating the linear and radial filtration processes.

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