Cargando…
Multiscale and multiresolution modeling of shales and their flow and morphological properties
The need for more accessible energy resources makes shale formations increasingly important. Characterization of such low-permeability formations is complicated, due to the presence of multiscale features, and defies conventional methods. High-quality 3D imaging may be an ultimate solution for revea...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4642334/ https://www.ncbi.nlm.nih.gov/pubmed/26560178 http://dx.doi.org/10.1038/srep16373 |
_version_ | 1782400345579716608 |
---|---|
author | Tahmasebi, Pejman Javadpour, Farzam Sahimi, Muhammad |
author_facet | Tahmasebi, Pejman Javadpour, Farzam Sahimi, Muhammad |
author_sort | Tahmasebi, Pejman |
collection | PubMed |
description | The need for more accessible energy resources makes shale formations increasingly important. Characterization of such low-permeability formations is complicated, due to the presence of multiscale features, and defies conventional methods. High-quality 3D imaging may be an ultimate solution for revealing the complexities of such porous media, but acquiring them is costly and time consuming. High-quality 2D images, on the other hand, are widely available. A novel three-step, multiscale, multiresolution reconstruction method is presented that directly uses 2D images in order to develop 3D models of shales. It uses a high-resolution 2D image representing the small-scale features to reproduce the nanopores and their network, a large scale, low-resolution 2D image to create the larger-scale characteristics, and generates stochastic realizations of the porous formation. The method is used to develop a model for a shale system for which the full 3D image is available and its properties can be computed. The predictions of the reconstructed models are in excellent agreement with the data. The method is, however, quite general and can be used for reconstructing models of other important heterogeneous materials and media. Two biological examples and from materials science are also reconstructed to demonstrate the generality of the method. |
format | Online Article Text |
id | pubmed-4642334 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46423342015-11-20 Multiscale and multiresolution modeling of shales and their flow and morphological properties Tahmasebi, Pejman Javadpour, Farzam Sahimi, Muhammad Sci Rep Article The need for more accessible energy resources makes shale formations increasingly important. Characterization of such low-permeability formations is complicated, due to the presence of multiscale features, and defies conventional methods. High-quality 3D imaging may be an ultimate solution for revealing the complexities of such porous media, but acquiring them is costly and time consuming. High-quality 2D images, on the other hand, are widely available. A novel three-step, multiscale, multiresolution reconstruction method is presented that directly uses 2D images in order to develop 3D models of shales. It uses a high-resolution 2D image representing the small-scale features to reproduce the nanopores and their network, a large scale, low-resolution 2D image to create the larger-scale characteristics, and generates stochastic realizations of the porous formation. The method is used to develop a model for a shale system for which the full 3D image is available and its properties can be computed. The predictions of the reconstructed models are in excellent agreement with the data. The method is, however, quite general and can be used for reconstructing models of other important heterogeneous materials and media. Two biological examples and from materials science are also reconstructed to demonstrate the generality of the method. Nature Publishing Group 2015-11-12 /pmc/articles/PMC4642334/ /pubmed/26560178 http://dx.doi.org/10.1038/srep16373 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Tahmasebi, Pejman Javadpour, Farzam Sahimi, Muhammad Multiscale and multiresolution modeling of shales and their flow and morphological properties |
title | Multiscale and multiresolution modeling of shales and their flow and morphological properties |
title_full | Multiscale and multiresolution modeling of shales and their flow and morphological properties |
title_fullStr | Multiscale and multiresolution modeling of shales and their flow and morphological properties |
title_full_unstemmed | Multiscale and multiresolution modeling of shales and their flow and morphological properties |
title_short | Multiscale and multiresolution modeling of shales and their flow and morphological properties |
title_sort | multiscale and multiresolution modeling of shales and their flow and morphological properties |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4642334/ https://www.ncbi.nlm.nih.gov/pubmed/26560178 http://dx.doi.org/10.1038/srep16373 |
work_keys_str_mv | AT tahmasebipejman multiscaleandmultiresolutionmodelingofshalesandtheirflowandmorphologicalproperties AT javadpourfarzam multiscaleandmultiresolutionmodelingofshalesandtheirflowandmorphologicalproperties AT sahimimuhammad multiscaleandmultiresolutionmodelingofshalesandtheirflowandmorphologicalproperties |