Reconstruction of three-dimensional porous media using a single thin section.

@article{Tahmasebi2012ReconstructionOT,
  title={Reconstruction of three-dimensional porous media using a single thin section.},
  author={P. Tahmasebi and M. Sahimi},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  year={2012},
  volume={85 6 Pt 2},
  pages={
          066709
        }
}
  • P. Tahmasebi, M. Sahimi
  • Published 2012
  • Computer Science, Medicine
  • Physical review. E, Statistical, nonlinear, and soft matter physics
The purpose of any reconstruction method is to generate realizations of two- or multiphase disordered media that honor limited data for them, with the hope that the realizations provide accurate predictions for those properties of the media for which there are no data available, or their measurement is difficult. An important example of such stochastic systems is porous media for which the reconstruction technique must accurately represent their morphology--the connectivity and geometry--as… Expand
Reconstruction of 3D porous media using multiple-point statistics based on a 3D training image
TLDR
A 3D training image is used in order to provide more realistic 3D pore structure features and the reconstructed models are in good agreement with the real model obtained by X-ray computed tomography scanning in the pore throat geometry and topology and transport property, which justifies the reliability of the proposed method. Expand
Improved multipoint statistics method for reconstructing three-dimensional porous media from a two-dimensional image via porosity matching.
TLDR
Experimental results show that the reconstruction results by the improved MPS method effectively match the CT sandstone samples in correlation functions, local porosity distribution, morphological parameters, and permeability. Expand
Rapid multiscale modeling of flow in porous media
Increasing our understanding of single and multiphase flow properties requires an accurate description of the pore system. Recent imaging technology provides images at different resolutions by whichExpand
Super-dimension-based three-dimensional nonstationary porous medium reconstruction from single two-dimensional image
TLDR
The proposed method was confirmed to be effective for reconstructing a nonstationary structure with statistical and morphological features consistent with the samples, and the universality of the algorithm proposed here was verified by its successful application to the stationary porous medium. Expand
Accurate modeling and evaluation of microstructures in complex materials.
  • P. Tahmasebi
  • Computer Science, Medicine
  • Physical review. E
  • 2018
TLDR
An ensemble method is presented that can take one single I and stochastically produce several similar models of the given disordered material and an iterative algorithm avoids reproduction of unrealistic structures, and a multiscale approach, based on pyramid representation of the large Is, that can produce materials with millions of pixels in a matter of seconds. Expand
Reconstruction of three-dimensional heterogeneous media from a single two-dimensional section via co-occurrence correlation function
Abstract Accurately modeling and reconstructing three-dimensional (3D) microstructure of heterogeneous media from limited morphological information obtained from a single two-dimensional (2D) sectionExpand
Accurate Reconstruction of Porous Materials via Stochastic Fusion of Limited Bimodal Microstructural Data
Porous materials such as sandstones have important applications in petroleum engineering and geosciences. An accurate knowledge of the porous microstructure of such materials is crucial for theExpand
Effect of the image resolution on the statistical descriptors of heterogeneous media.
TLDR
A theoretical analysis of the effects of the image-size reduction, due to the progressive and sequential decimation of the original image, may help to restrict the amount of information that one can afford to lose during a decimation process, in order to reduce the computational and memory cost. Expand
Prediction and Evaluation of Time-Dependent Effective Self-diffusivity of Water and Other Effective Transport Properties Associated with Reconstructed Porous Solids
We reconstructed pore structures of three porous solids that differ from each other in morphology and topology of pore space. To achieve this, we used a stochastic method based on simulated annealingExpand
Reconstruction of multiphase microstructure based on statistical descriptors
The microscopic structural features of porous media directly affect their macroscopic properties (e.g., mechanical, electromagnetic, capillary, and transport properties). As for sandstone, theExpand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 119 REFERENCES
Pore space reconstruction using multiple-point statistics
The reconstruction of porous media is of great interest in a wide variety of fields, including earth science and engineering, biology, and medicine. To predict multiphase flow through geologicallyExpand
Reconstructing random media. II. Three-dimensional media from two-dimensional cuts
We report on an investigation concerning the utilization of morphological information obtained from a two-dimensional (2D) slice (thin section) of a random medium to reconstruct the fullExpand
Prediction of permeability for porous media reconstructed using multiple-point statistics.
  • H. Okabe, M. Blunt
  • Mathematics, Medicine
  • Physical review. E, Statistical, nonlinear, and soft matter physics
  • 2004
TLDR
A high-resolution 2D thin-section image of a carbonate reservoir rock is used to reconstruct 3D structures by the proposed method, which shows that the use of multiple-point statistics allows the long-range connectivity of the structure to be preserved, in contrast to two- point statistics methods that tend to underestimate the connectivity. Expand
Improved reconstructions of random media using dilation and erosion processes.
TLDR
By using the most sensitive two-point correlation functions introduced to date, the microstructures of two-phase random media are reconstructed with heretofore unattained accuracy and their use to characterize the structural and physical properties of not only random media, but also molecular systems, including structural glasses is explored. Expand
Transport Properties of Stochastically Reconstructed Porous Media with Improved Pore Connectivity
Results from stochastic reconstruction of porous solids and from a direct comparison of calculated and experimental effective transport properties are presented. Eight porous solids of differentExpand
Statistical reconstruction of three-dimensional porous media from two-dimensional images
A method of modeling the three-dimensional microstructure of random isotropic two-phase materials is proposed. The information required to implement the technique can be obtained from two-dimensionalExpand
A multiple-point statistics algorithm for 3D pore space reconstruction from 2D images
Abstract Fluid flow behavior in a porous medium is a function of the geometry and topology of its pore space. The construction of a three dimensional pore space model of a porous medium is thereforeExpand
Stochastic Reconstruction of Particulate Media Using Simulated Annealing: Improving Pore Connectivity
In this contribution the issue of the stochastic reconstruction of particulate media from 2D backscatter SEM images is addressed with particular reference to pore space connectivity. TheExpand
Reconstructing random media
We formulate a procedure to reconstruct the structure of general random heterogeneous media from limited morphological information by extending the methodology of Rintoul and Torquato [J. ColloidExpand
A reconstruction technique for three-dimensional porous media using image analysis and Fourier transforms
Abstract A truncated gaussian method based on Fourier transforms is proposed to generate periodic 3D porous structure from a 2D image of the sample. This technique improves a previous methodExpand
...
1
2
3
4
5
...