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Application of Data Compression and Cellular Development Algorithms in Pore Network Modeling
, Ph.D. Dissertation Sharif University of Technology ; Pishvaie, Mahmoud Reza (Supervisor)
Abstract
In recent years, pore network modeling has been used to predict various characteristics of porous media from capillary pressure to heat and mass transfer coefficients. In pore network modeling, the void space of a rock sample is represented at the microscopic scale by a network of pores connected by throats. Construction of a reasonable representation of the geometry and topology of the pore space will lead to a reliable prediction of the properties of porous media. In this thesis, a new approach for the construction of pore network models is proposed. This approach is based on the theory of multi-cellular growth simulation, or L-systems. In order to show the capabilities of this approach,...
A PEG construction of finite-length LDPC codes with low error floor
, Article IEEE Communications Letters ; Volume 16, Issue 8 , 2012 , Pages 1288-1291 ; 10897798 (ISSN) ; Asvadi, R ; Banihashemi, A. H ; Sharif University of Technology
2012
Abstract
The progressive-edge-growth (PEG) algorithm of Hu et al. is modified to improve the error floor performance of the constructed low-density parity-check (LDPC) codes. To improve the error floor, the original PEG algorithm is equipped with an efficient algorithm to find the dominant elementary trapping sets (ETS's) that are added to the Tanner graph of the under-construction code by the addition of each variable node and its adjacent edges. The aim is to select the edges, among the candidates available at each step of the original PEG algorithm, that prevent the creation of dominant ETS's. The proposed method is applicable to both regular and irregular variable node degree distributions....
Application of GA in optimization of pore network models generated by multi-cellular growth algorithms
, Article Advances in Water Resources ; Volume 32, Issue 10 , 2009 , Pages 1543-1553 ; 03091708 (ISSN) ; Bozorgmehry Boozarjomehry, R ; Pishvaie, M. R ; Sharif University of Technology
2009
Abstract
In pore network modeling, the void space of a rock sample is represented at the microscopic scale by a network of pores connected by throats. Construction of a reasonable representation of the geometry and topology of the pore space will lead to a reliable prediction of the properties of porous media. Recently, the theory of multi-cellular growth (or L-systems) has been used as a flexible tool for generation of pore network models which do not require any special information such as 2D SEM or 3D pore space images. In general, the networks generated by this method are irregular pore network models which are inherently closer to the complicated nature of the porous media rather than regular...