Effective and Sustainable Hydraulic Fracturing 2013
DOI: 10.5772/56012
|View full text |Cite
|
Sign up to set email alerts
|

Numerical Simulation of Hydraulic Fracturing in Heterogeneous Rock: The Effect of Perforation Angles and Bedding Plane on Hydraulic Fractures Evolutions

Abstract: Considering the heterogeneity of rock, the hydraulic fracturing process of rock specimen due to internal hydraulic pressure was numerically simulated in a meso-scale by RFPA2D2.0 (Realistic Failure Process Analysis). The differences of perforation angle, bedding angle and bedding material of rock specimens are considered. The numerical results showed that the initiation and propagation of hydraulic fractures were controlled by both global pore pressure's distribution gradient and local pore pressure around the… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

1
3
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 10 publications
(4 citation statements)
references
References 9 publications
1
3
0
Order By: Relevance
“…18a, b. This behaviour is compatible with the results of Men et al (2013), who modelled the layered rock using parallel weak and highly permeable interfaces embedded in the rock matrix. The PDFs of the deviation angle for different cases of perforation angle and in situ stresses are shown in Fig.…”
Section: Directional Hydraulic Fracturing In Horizontally Layered Rockssupporting
confidence: 88%
See 2 more Smart Citations
“…18a, b. This behaviour is compatible with the results of Men et al (2013), who modelled the layered rock using parallel weak and highly permeable interfaces embedded in the rock matrix. The PDFs of the deviation angle for different cases of perforation angle and in situ stresses are shown in Fig.…”
Section: Directional Hydraulic Fracturing In Horizontally Layered Rockssupporting
confidence: 88%
“…The second approach, on which the current study concentrates, models the heterogeneities by spatially distributing material properties as random fields over the computational mesh, resulting in smooth spatial distributions of material properties. Numerical studies have previously modelled material heterogeneities by distributing randomly generated properties over the elements in three general patterns depending on the nature of the rock: (i) totally random with no auto-correlation, for example (Chen et al 2018;He et al 2021;Li et al 2016a;Li et al 2021;Sarmadi and Mousavi Nezhad 2021;Lu and He 2020;Men et al 2013;Pakzad et al 2018;Santillán et al 2017;Wang et al 2009); (ii) spatially correlated (auto-correlated) as stiff bulk inclusions (Li et al 2020(Li et al , 2021Tang et al 2018;Xia et al 2017); (iii) layered lithologic settings through use of anisotropic autocorrelation (Mousavi Nezhad et al 2018a, b;Li et al 2020Li et al , 2021.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The hydraulic fracturing is one of the critical techniques used in the production of shale gas, coalbed methane and extraction of geothermal energy. Men et al (2013) numerically simulated the hydraulic fracturing process in heterogeneous rock specimens using Realistic Failure Process Analysis (RFPA2D). The numerical results show that the initiation pressure, the breakdown pressure and the fracture evolution vary with the different bedding plane angles.…”
Section: Introductionmentioning
confidence: 99%