2019
DOI: 10.1016/j.ijrmms.2019.01.015
|View full text |Cite
|
Sign up to set email alerts
|

Hydraulic fracturing modeling using a discrete fracture network in the Barnett Shale

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
14
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 44 publications
(16 citation statements)
references
References 15 publications
0
14
0
Order By: Relevance
“…To perform hydraulic fracturing design, FracMan has also incorporated other features including proppant transport, synthetic microseismic events, etc. With these features, FracMan has been extensively used to carry out hydraulic fracturing design in the natural gas, deep geothermal and deep mining industries [71,73,101,351].…”
Section: Fracmanmentioning
confidence: 99%
“…To perform hydraulic fracturing design, FracMan has also incorporated other features including proppant transport, synthetic microseismic events, etc. With these features, FracMan has been extensively used to carry out hydraulic fracturing design in the natural gas, deep geothermal and deep mining industries [71,73,101,351].…”
Section: Fracmanmentioning
confidence: 99%
“…Hydraulic fracturing using a horizontal well is an essential production technique in shale gas formations [1][2][3][4][5]. Various approaches have been developed to model hydraulic fracturing phenomena to obtain an accurate estimation of shale gas production-for example, extended and generalized finite elements methods (XFEM and GFEM, respectively) [6][7][8][9], displacement discontinuity methods (DDM) [10][11][12], boundary element methods (BEM) [13][14][15], phase-field formulations [16][17][18][19][20][21][22], and discrete fracture network (DFN) [23][24][25].…”
Section: Introductionmentioning
confidence: 99%
“…While numerical studies dealing with fracture interaction and reactivation already exist in the literature, they make use of the discrete fracture network (DFN) approach at larger scales (reservoir scale) with several assumptions or simplifications (e.g. [18,60]). Using a representative scale model, we considered realistic fault-related structures in a deterministic way to interpret and fit real experimental data.…”
Section: Introductionmentioning
confidence: 99%