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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Main Authors: ALI HEYDARI, Seyed Esmaeil Jalali, Mehdi Noroozi
Format: Article
Language:English
Published: University of Tehran 2018-12-01
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.
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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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AT mehdinoroozi developinga3dstochasticdiscretefracturenetworkmodelforhydraulicanalyses