2022
DOI: 10.1002/ese3.1208
|View full text |Cite
|
Sign up to set email alerts
|

A Random‐XFEM technique modeling of hydraulic fracture interaction with natural void

Abstract: In this paper, a Random-XFEM technology was employed to simulate hydraulic fracture interaction with the natural void in a random field of Young's modulus. The random distribution of Young's modulus is characterized by random field theory, while the stress and pressure fields fracturing were solved by the extended finite element method. And a Random-XFEM iteration algorithm was proposed to solve the hydraulic fracture propagation problem. Then the proposed model was verified against the KGD model and numerical… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 50 publications
0
0
0
Order By: Relevance
“…In this paper, we adopt a toughness-dominated asymptotic solution of the KGD model proposed by Santillan et al [47] for verification. Analytical solutions of hydraulic fracture have been adopted to verify the numerical models based on the extended finite element method and the displacement discontinuity method [56][57][58]. The minor difference between the analytical results and numerical predictions implies that our numerical model achieves the same order of accuracy with the classical models.…”
Section: Model Validationmentioning
confidence: 99%
“…In this paper, we adopt a toughness-dominated asymptotic solution of the KGD model proposed by Santillan et al [47] for verification. Analytical solutions of hydraulic fracture have been adopted to verify the numerical models based on the extended finite element method and the displacement discontinuity method [56][57][58]. The minor difference between the analytical results and numerical predictions implies that our numerical model achieves the same order of accuracy with the classical models.…”
Section: Model Validationmentioning
confidence: 99%