2019
DOI: 10.1016/j.jcp.2018.09.048
|View full text |Cite
|
Sign up to set email alerts
|

Conforming, non-conforming and non-matching discretization couplings in discrete fracture network simulations

Abstract: Simulations of fluid flow in naturally fractured rocks have implications for several subsurface applications, including energy storage and extraction, and waste storage. We are interested in flow in discrete fracture networks, which explicitly represent flow in fracture surfaces, but ignore the impact of the surrounding host rock. Fracture networks, generated from observations or stochastic simulations, will contain intersections of arbitrary length, and intersection lines can further cross, forming a highly c… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

2
58
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
3
2
2

Relationship

2
5

Authors

Journals

citations
Cited by 80 publications
(60 citation statements)
references
References 58 publications
2
58
0
Order By: Relevance
“…Here we used (20) (which remains true with Ω i h and O(∂Γ i ) instead of Ω i h and Γ i ) and (21). For the rest of p − q h * we use interpolation properties of bilinear polynomials, (25) and (20) to obtain…”
Section: Summing Up the Above Inequality Over All T Intersecting E (Tmentioning
confidence: 99%
See 2 more Smart Citations
“…Here we used (20) (which remains true with Ω i h and O(∂Γ i ) instead of Ω i h and Γ i ) and (21). For the rest of p − q h * we use interpolation properties of bilinear polynomials, (25) and (20) to obtain…”
Section: Summing Up the Above Inequality Over All T Intersecting E (Tmentioning
confidence: 99%
“…Estimates (27)- (29) lead to the desired bound on p − q h * . Similar to (28)-(29), we use interpolation properties of bilinear polynomials, (25) and (20), to obtain…”
Section: Summing Up the Above Inequality Over All T Intersecting E (Tmentioning
confidence: 99%
See 1 more Smart Citation
“…DFN is alternative to EPM for multi-scale fracture networks where all the fractures must be explicitly represented. [30,26].…”
Section: Introductionmentioning
confidence: 99%
“…
generated over the entire fracture system and the flow field is then obtained by resorting to the Finite Element Method (FEM) or the Finite Volume Method (FVM). These methods offer considerable precision but, given the geometrical complexity of a DFN (see Fig.1a) the use implies high computational demand and memory usage [28], also originating from high-quality mesh generation and Local Grid Refinement (LGR), both required to accurately resolve the sharp pressure gradients around the intersections (traces) among fractures and in the near-field of a well [26]. In Fig.
…”
mentioning
confidence: 99%