Developing a 3D stochastic discrete fracture network model for hydraulic analyses
Fluid flow in jointed rock mass with impermeable matrix is often controlled by joint properties, including aperture, orientation, spacing, persistence and etc. On the other hand, since the rock mass is made of heterogeneous and anisotropic natural materials, geometric properties of joints may have d...
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Format: | Article |
Language: | English |
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University of Tehran
2018-12-01
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Series: | International Journal of Mining and Geo-Engineering |
Subjects: | |
Online Access: | https://ijmge.ut.ac.ir/article_68706_eba601f80d2331560f528f045624f71d.pdf |
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author | ALI HEYDARI Seyed Esmaeil Jalali Mehdi Noroozi |
author_facet | ALI HEYDARI Seyed Esmaeil Jalali Mehdi Noroozi |
author_sort | ALI HEYDARI |
collection | DOAJ |
description | Fluid flow in jointed rock mass with impermeable matrix is often controlled by joint properties, including aperture, orientation, spacing, persistence and etc. On the other hand, since the rock mass is made of heterogeneous and anisotropic natural materials, geometric properties of joints may have dispersed values. One of the most powerful methods for simulation of stochastic nature of geometric characteristics of joins is three dimensional stochastic discrete fracture network (DFN) modelling. The current research is conducted to develop an applicable discrete fracture network model for hydraulic analyses. Also, DFN-FRAC3D software – which was proposed earlier for mechanical analysis - is developed to construct a hydraulic DFN. For this purpose, joint aperture parameter is added to other geometric features of model including orientation, spacing, persistence and intensity. In order to develop an accurate hydraulic DFN model, correlation between the joint aperture and length is also considered, that has not been observed in most previous studies. In this study, the software is developed for detection of connected joint networks. In order to test the performance of the provided simulator, a 3D hydraulic model for fracture network of rock mass in Mazino region is presented. |
first_indexed | 2024-12-12T16:08:51Z |
format | Article |
id | doaj.art-50916d1c0180465cb7b4280ba6fac70f |
institution | Directory Open Access Journal |
issn | 2345-6949 |
language | English |
last_indexed | 2024-12-12T16:08:51Z |
publishDate | 2018-12-01 |
publisher | University of Tehran |
record_format | Article |
series | International Journal of Mining and Geo-Engineering |
spelling | doaj.art-50916d1c0180465cb7b4280ba6fac70f2022-12-22T00:19:15ZengUniversity of TehranInternational Journal of Mining and Geo-Engineering2345-69492018-12-0152216717510.22059/ijmge.2018.244675.59470468706Developing a 3D stochastic discrete fracture network model for hydraulic analysesALI HEYDARI0Seyed Esmaeil Jalali1Mehdi Noroozi2mining engineering, faculty of mining petroleum and geophysics, university of Shahrood, IRANFaculty of Mining Engineering, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, IranFaculty of Mining Engineering, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, IranFluid flow in jointed rock mass with impermeable matrix is often controlled by joint properties, including aperture, orientation, spacing, persistence and etc. On the other hand, since the rock mass is made of heterogeneous and anisotropic natural materials, geometric properties of joints may have dispersed values. One of the most powerful methods for simulation of stochastic nature of geometric characteristics of joins is three dimensional stochastic discrete fracture network (DFN) modelling. The current research is conducted to develop an applicable discrete fracture network model for hydraulic analyses. Also, DFN-FRAC3D software – which was proposed earlier for mechanical analysis - is developed to construct a hydraulic DFN. For this purpose, joint aperture parameter is added to other geometric features of model including orientation, spacing, persistence and intensity. In order to develop an accurate hydraulic DFN model, correlation between the joint aperture and length is also considered, that has not been observed in most previous studies. In this study, the software is developed for detection of connected joint networks. In order to test the performance of the provided simulator, a 3D hydraulic model for fracture network of rock mass in Mazino region is presented.https://ijmge.ut.ac.ir/article_68706_eba601f80d2331560f528f045624f71d.pdfdiscrete fracture networkhydraulic analysesjointed rock mass |
spellingShingle | ALI HEYDARI Seyed Esmaeil Jalali Mehdi Noroozi Developing a 3D stochastic discrete fracture network model for hydraulic analyses International Journal of Mining and Geo-Engineering discrete fracture network hydraulic analyses jointed rock mass |
title | Developing a 3D stochastic discrete fracture network model for hydraulic analyses |
title_full | Developing a 3D stochastic discrete fracture network model for hydraulic analyses |
title_fullStr | Developing a 3D stochastic discrete fracture network model for hydraulic analyses |
title_full_unstemmed | Developing a 3D stochastic discrete fracture network model for hydraulic analyses |
title_short | Developing a 3D stochastic discrete fracture network model for hydraulic analyses |
title_sort | developing a 3d stochastic discrete fracture network model for hydraulic analyses |
topic | discrete fracture network hydraulic analyses jointed rock mass |
url | https://ijmge.ut.ac.ir/article_68706_eba601f80d2331560f528f045624f71d.pdf |
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