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- W2184342829 abstract "The Grain and Pore Throat (GPT) model is a simple but realistic enough pore scale description of statistically homogeneous granular media. The basic assumption is that transport properties are determined only by the characteristics of pore throats and their density. All GPT parameters have a clear physical meaning and are measurable. The theoretical equations derived from this model relate macroscopic transport properties, such as permeability, formation factor and resistivity index, to well -defined geometrical characteristics of flow pathways at pore scale. The analysis shows that all these transport properties vary as (ϕ -ϕ1) a where ϕ is porosity (or saturation), ϕ 1 a critical value for which the transport drops to zero and a an exponent which is theoretically derived from transport nature and pore geometrical characteristics. The GPT model predictions cover both diagenetic processes and mechanical stresses effects. This model is also needed to predict 1) th e deposition of colloidal particles (minerals suspended in injection water and asphaltenes in heavy oils), 2) the effects of polymer adsorption, 3) the behavior of non Newtonian fluids in porous media and 4) inertia effects on fluid flow for both grain pac ks and consolidated media. All GPT model predictions agree with available data." @default.
- W2184342829 created "2016-06-24" @default.
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- W2184342829 date "2003-01-01" @default.
- W2184342829 modified "2023-09-24" @default.
- W2184342829 title "SCA2003-53: A STRUCTURAL MODEL TO PREDICT TRANSPORT PROPERTIES OF GRANULAR POROUS MEDIA" @default.
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