Pore-Scale Permeability Prediction using Critical Path Analysis APPROVED BY SUPERVISING COMMITTEE:

A committee machine approach for predicting permeability from well log data: a case study from a heterogeneous carbonate reservoir, Balal oil Field, Persian Gulf

Permeability prediction problem has been examined using several methods such as empirical formulas, regression analysis and intelligent systems especially neural networks and fuzzy logic. This study proposes an improved and novel model for predicting permeability from conventional well log data. The methodology is integration of empirical formulas, multiple regression and neuro-fuzzy in a commi...

Investigation of pore-scale random porous media using lattice boltzmann method

The permeability and tortuosity of pore-scale two and three-dimensional random porous media were calculated using the Lattice Boltzmann method (LBM). Effects of geometrical parameters of medium on permeability and tortuosity were investigated as well. Two major models of random porous media were reconstructed by computerized tomography method: Randomly distributed rectangular obstacles in a uni...

Direct methods for power system transient stability analysis using BCU method APPROVED BY SUPERVISING COMMITTEE:

Evaluating Fabric Pilling/Wrinkling Appearance Using 3D Images APPROVED BY SUPERVISING COMMITTEE:

Application of Image Analysis to Assessing Critical Pore Size for Permeability Prediction of Cement Paste

This paper explores image analysis techniques that provide insight into the nature of pore structure as observed in backscattered electron images of polished sections. On the basis of mathematical morphology, the pore size distribution is characterised and the critical pore size is determined for cement paste at different hydration time. The influence of image resolution is investigated. The pe...