Ahmed E. Hassan

TL;DR: In this paper, Monte Carlo studies of flow and transport in two-dimensional synthetic conductivity fields are employed to evaluate first-order flow and Eulerian transport theories, and the model is tested for mass conservation and convergence of computed statistics and found to yield accurate results.

TL;DR: Results of this analysis indicate that conditioning on the available data sets yields dramatic reduction of uncertainty compared to unconditioned simulations, especially for the recharge-conductivity ratio.

TL;DR: In this article, the use of particle tracking methods to predict transport in single continuum and dual continua (mobile-immobile systems and fractured media) is studied, and the accuracy of the particle tracking method with different interpolation and tracking techniques is evaluated, and its transport predictions are compared to analytical solutions, finite element solutions, and finite difference solution (e.g. MT3D).

TL;DR: The ability of the GLUE methodology to mitigate the effect of the selection of the input parameter prior distributions on the modeling results is investigated and results show that theGLUE-based ensemble averaging yields results that are controlled by the data more than by the prior distributions.

TL;DR: In this paper, the authors proposed a fracture continuum approach for mapping individual fractures onto a finite-difference grid as conductivity fields, which is used to solve for fluid flow through two-dimensional, randomly generated fracture networks in a steady-state, single phase flow system.