Multiphase Inverse Modeling: Review and iTOUGH2 Applications

Error handling strategies in multiphase inverse modeling

Parameter estimation by inverse modeling involves the repeated evaluation of a function of residuals. These residuals represent both errors in the model and errors in the data. In practical applications of inverse modeling of multiphase flow and transport, the error structure of the final residuals often significantly deviates from the statistical assumptions that underlie standard maximum like...

Upscaled Modeling in Multiphase Flow Applications

In the paper we consider upscaling of multiphase flow in porous media. We propose numerical techniques for upscaling of pressure and saturation equations. Extensions and applications of these approaches are considered in the paper. Numerical examples are presented.

Multiphase modeling of nitrate photochemistry

Multiphase Turbulent Modeling using LES

The modeling of multiphase, turbulent flows and their dynamics has become increasingly important in many environmental, geophysical, and engineering applications. These areas require the use of models that can effectively represent both the multiphase and turbulent characteristics involved in the simulation. Due to the large increase in computational power required to both simulate multiphase a...

Multiphase modeling of tumor growth and extracellular matrix interaction: Mathematical tools and applications

In a multiphase modeling framework tumors are described as a mixture of tumor and host cells within a porous structure constituted by a remodeling extracellular matrix (ECM), which is wet by a physiological extracellular fluid. The main focus of the model presented in this article is the description of the mechanical interactions of the growing tumor with the host tissue, their influence on tum...