The equivalent discrete fracture networks based on the correlation index in highly fractured rock masses

Guowei Ma, Tuo Li, Yang Wang, Yun Chen

Research output: Contribution to journalArticle

Abstract

In the numerical simulations of highly fractured geological formations, discrete approaches are considerably promising and adequate to describe fluid flow in detail. However, the computational complexity increases dramatically with a greater number of fractures. This becomes the primary limitation for field-scale applications. In this study, a correlation index is for the first time introduced to evaluate the significance of individual fractures, and an equivalent model is proposed to mimic the original domain with a density-reduced one. By an equivalent permeability factor, the suggested model simplifies computational complexity, but compromises result precision to minor extent. This approach is validated in typical discrete fracture networks generated with stochastic fractal models. Effects of fracture geometry are discussed based on various distribution patterns. This method improves mesh quality when dealing with a fracture-matrix domain. It is also capable of optimizing reservoir design through fast and accurate estimations of gas productivity under different boundary conditions.

Original languageEnglish
Article number105228
JournalEngineering Geology
Volume260
DOIs
Publication statusPublished - 3 Oct 2019

Fingerprint

fracture network
Rocks
rock
fracture geometry
Computational complexity
fluid flow
boundary condition
permeability
productivity
matrix
Fractals
Flow of fluids
gas
Productivity
simulation
index
Boundary conditions
Geometry
Computer simulation
Gases

Cite this

@article{c4043b89f5ff408a8423407047358215,
title = "The equivalent discrete fracture networks based on the correlation index in highly fractured rock masses",
abstract = "In the numerical simulations of highly fractured geological formations, discrete approaches are considerably promising and adequate to describe fluid flow in detail. However, the computational complexity increases dramatically with a greater number of fractures. This becomes the primary limitation for field-scale applications. In this study, a correlation index is for the first time introduced to evaluate the significance of individual fractures, and an equivalent model is proposed to mimic the original domain with a density-reduced one. By an equivalent permeability factor, the suggested model simplifies computational complexity, but compromises result precision to minor extent. This approach is validated in typical discrete fracture networks generated with stochastic fractal models. Effects of fracture geometry are discussed based on various distribution patterns. This method improves mesh quality when dealing with a fracture-matrix domain. It is also capable of optimizing reservoir design through fast and accurate estimations of gas productivity under different boundary conditions.",
keywords = "Correlation index, Density-reduced models, Equivalent permeability factor, Highly fractured rock masses, Permeability similarity",
author = "Guowei Ma and Tuo Li and Yang Wang and Yun Chen",
year = "2019",
month = "10",
day = "3",
doi = "10.1016/j.enggeo.2019.105228",
language = "English",
volume = "260",
journal = "Engineering Geology",
issn = "0013-7952",
publisher = "Pergamon",

}

The equivalent discrete fracture networks based on the correlation index in highly fractured rock masses. / Ma, Guowei; Li, Tuo; Wang, Yang; Chen, Yun.

In: Engineering Geology, Vol. 260, 105228, 03.10.2019.

Research output: Contribution to journalArticle

TY - JOUR

T1 - The equivalent discrete fracture networks based on the correlation index in highly fractured rock masses

AU - Ma, Guowei

AU - Li, Tuo

AU - Wang, Yang

AU - Chen, Yun

PY - 2019/10/3

Y1 - 2019/10/3

N2 - In the numerical simulations of highly fractured geological formations, discrete approaches are considerably promising and adequate to describe fluid flow in detail. However, the computational complexity increases dramatically with a greater number of fractures. This becomes the primary limitation for field-scale applications. In this study, a correlation index is for the first time introduced to evaluate the significance of individual fractures, and an equivalent model is proposed to mimic the original domain with a density-reduced one. By an equivalent permeability factor, the suggested model simplifies computational complexity, but compromises result precision to minor extent. This approach is validated in typical discrete fracture networks generated with stochastic fractal models. Effects of fracture geometry are discussed based on various distribution patterns. This method improves mesh quality when dealing with a fracture-matrix domain. It is also capable of optimizing reservoir design through fast and accurate estimations of gas productivity under different boundary conditions.

AB - In the numerical simulations of highly fractured geological formations, discrete approaches are considerably promising and adequate to describe fluid flow in detail. However, the computational complexity increases dramatically with a greater number of fractures. This becomes the primary limitation for field-scale applications. In this study, a correlation index is for the first time introduced to evaluate the significance of individual fractures, and an equivalent model is proposed to mimic the original domain with a density-reduced one. By an equivalent permeability factor, the suggested model simplifies computational complexity, but compromises result precision to minor extent. This approach is validated in typical discrete fracture networks generated with stochastic fractal models. Effects of fracture geometry are discussed based on various distribution patterns. This method improves mesh quality when dealing with a fracture-matrix domain. It is also capable of optimizing reservoir design through fast and accurate estimations of gas productivity under different boundary conditions.

KW - Correlation index

KW - Density-reduced models

KW - Equivalent permeability factor

KW - Highly fractured rock masses

KW - Permeability similarity

UR - http://www.scopus.com/inward/record.url?scp=85069590059&partnerID=8YFLogxK

U2 - 10.1016/j.enggeo.2019.105228

DO - 10.1016/j.enggeo.2019.105228

M3 - Article

VL - 260

JO - Engineering Geology

JF - Engineering Geology

SN - 0013-7952

M1 - 105228

ER -