2023
DOI: 10.1016/j.advwatres.2023.104582
|View full text |Cite
|
Sign up to set email alerts
|

Superpixels pore network extraction for geological tomography images

Arash Rabbani
Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2025
2025

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 71 publications
0
1
0
Order By: Relevance
“…Furthermore, through statistical analysis of pore structure characteristics, a mathematical model is constructed to attempt to describe the distribution of sandstone pore structure characteristics [26,27]. More importantly, the pore structure characteristics of sandstone and its macroscopic physical properties, such as permeability and permeability coefficient, are modeled to evaluate and predict the permeability performance of sandstone [28,29]. For instance, medical and dental CTscan techniques are applied for the porosity determination of 20 core samples collected from the Persian Gulf coastal zone and Zagros basin in order to compare with routine porosity measurement technique [30].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, through statistical analysis of pore structure characteristics, a mathematical model is constructed to attempt to describe the distribution of sandstone pore structure characteristics [26,27]. More importantly, the pore structure characteristics of sandstone and its macroscopic physical properties, such as permeability and permeability coefficient, are modeled to evaluate and predict the permeability performance of sandstone [28,29]. For instance, medical and dental CTscan techniques are applied for the porosity determination of 20 core samples collected from the Persian Gulf coastal zone and Zagros basin in order to compare with routine porosity measurement technique [30].…”
Section: Introductionmentioning
confidence: 99%