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A method to generate small-scale, high-resolution sedimentary bedform architecture models representing realistic geologic facies
Small-scale (mm to m) sedimentary structures (e.g. ripple lamination, cross-bedding) have received a great deal of attention in sedimentary geology. The influence of depositional heterogeneity on subsurface fluid flow is now widely recognized, but incorporating these features in physically-rational...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5569078/ https://www.ncbi.nlm.nih.gov/pubmed/28835654 http://dx.doi.org/10.1038/s41598-017-09065-9 |
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author | Meckel, T. A. Trevisan, L. Krishnamurthy, P. G. |
author_facet | Meckel, T. A. Trevisan, L. Krishnamurthy, P. G. |
author_sort | Meckel, T. A. |
collection | PubMed |
description | Small-scale (mm to m) sedimentary structures (e.g. ripple lamination, cross-bedding) have received a great deal of attention in sedimentary geology. The influence of depositional heterogeneity on subsurface fluid flow is now widely recognized, but incorporating these features in physically-rational bedform models at various scales remains problematic. The current investigation expands the capability of an existing set of open-source codes, allowing generation of high-resolution 3D bedform architecture models. The implemented modifications enable the generation of 3D digital models consisting of laminae and matrix (binary field) with characteristic depositional architecture. The binary model is then populated with petrophysical properties using a textural approach for additional analysis such as statistical characterization, property upscaling, and single and multiphase fluid flow simulation. One example binary model with corresponding threshold capillary pressure field and the scripts used to generate them are provided, but the approach can be used to generate dozens of previously documented common facies models and a variety of property assignments. An application using the example model is presented simulating buoyant fluid (CO(2)) migration and resulting saturation distribution. |
format | Online Article Text |
id | pubmed-5569078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55690782017-09-01 A method to generate small-scale, high-resolution sedimentary bedform architecture models representing realistic geologic facies Meckel, T. A. Trevisan, L. Krishnamurthy, P. G. Sci Rep Article Small-scale (mm to m) sedimentary structures (e.g. ripple lamination, cross-bedding) have received a great deal of attention in sedimentary geology. The influence of depositional heterogeneity on subsurface fluid flow is now widely recognized, but incorporating these features in physically-rational bedform models at various scales remains problematic. The current investigation expands the capability of an existing set of open-source codes, allowing generation of high-resolution 3D bedform architecture models. The implemented modifications enable the generation of 3D digital models consisting of laminae and matrix (binary field) with characteristic depositional architecture. The binary model is then populated with petrophysical properties using a textural approach for additional analysis such as statistical characterization, property upscaling, and single and multiphase fluid flow simulation. One example binary model with corresponding threshold capillary pressure field and the scripts used to generate them are provided, but the approach can be used to generate dozens of previously documented common facies models and a variety of property assignments. An application using the example model is presented simulating buoyant fluid (CO(2)) migration and resulting saturation distribution. Nature Publishing Group UK 2017-08-23 /pmc/articles/PMC5569078/ /pubmed/28835654 http://dx.doi.org/10.1038/s41598-017-09065-9 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Meckel, T. A. Trevisan, L. Krishnamurthy, P. G. A method to generate small-scale, high-resolution sedimentary bedform architecture models representing realistic geologic facies |
title | A method to generate small-scale, high-resolution sedimentary bedform architecture models representing realistic geologic facies |
title_full | A method to generate small-scale, high-resolution sedimentary bedform architecture models representing realistic geologic facies |
title_fullStr | A method to generate small-scale, high-resolution sedimentary bedform architecture models representing realistic geologic facies |
title_full_unstemmed | A method to generate small-scale, high-resolution sedimentary bedform architecture models representing realistic geologic facies |
title_short | A method to generate small-scale, high-resolution sedimentary bedform architecture models representing realistic geologic facies |
title_sort | method to generate small-scale, high-resolution sedimentary bedform architecture models representing realistic geologic facies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5569078/ https://www.ncbi.nlm.nih.gov/pubmed/28835654 http://dx.doi.org/10.1038/s41598-017-09065-9 |
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