A Review of 3D Reconstruction Methods for Complex Microstructures of Porous Media: Imaging Devices, Techniques and Applications.
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| Title: | A Review of 3D Reconstruction Methods for Complex Microstructures of Porous Media: Imaging Devices, Techniques and Applications. |
|---|---|
| Authors: | Zhai, Tian-Ya1 (AUTHOR), Zhao, Zhi1 (AUTHOR), Zhou, Xiao-Ping1 (AUTHOR) zhouxiaoping@cqu.edu.cn |
| Source: | Rock Mechanics & Rock Engineering. Jul2025, Vol. 58 Issue 7, p7879-7922. 44p. |
| Subjects: | Porous materials, Thermal properties, Resource exploitation, Artificial intelligence, Complex variables |
| Abstract: | Due to the complex and variable microstructures of different porous media, it is still a challenging task to balance the accuracy and efficiency of 3D models using 3D reconstruction methods, which significantly affects the precisions and convergences for 3D reconstruction models-based numerical simulations in various computation fields. This review summaries the 3D reconstruction methods for complex microstructures of porous media from the imaging devices, techniques and applications aspects. In this review, six categories of 3D reconstruction algorithms are primarily concluded including stereoscopic tomography reconstruction, stochastic reconstruction, theoretical reconstruction, hybrid reconstruction, 3D point cloud reconstruction and intelligence learning-based reconstruction algorithms, in which the basic principles, advantages and limitations of these 3D reconstruction methods are compared and studied. With the 3D reconstructed models, numerical studies of mechanical property, cracking behaviors, hydraulic and thermal properties of porous media are concluded. The review provides various practical and accessible 3D reconstruction methods for various properties studies of porous media, which are helpful for numerous engineering fields such as deep energy and resource exploitations. Highlights: 3D reconstruction methods for complex microstructures of porous media are reviewed. The advantages and limitations of 3D reconstruction methods are discussed. The future research directions of 3D reconstruction methods are provided. [ABSTRACT FROM AUTHOR] |
| Copyright of Rock Mechanics & Rock Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 186621961 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Review of 3D Reconstruction Methods for Complex Microstructures of Porous Media: Imaging Devices, Techniques and Applications. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhai%2C+Tian-Ya%22">Zhai, Tian-Ya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Zhi%22">Zhao, Zhi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Xiao-Ping%22">Zhou, Xiao-Ping</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhouxiaoping@cqu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Rock+Mechanics+%26+Rock+Engineering%22">Rock Mechanics & Rock Engineering</searchLink>. Jul2025, Vol. 58 Issue 7, p7879-7922. 44p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Porous+materials%22">Porous materials</searchLink><br /><searchLink fieldCode="DE" term="%22Thermal+properties%22">Thermal properties</searchLink><br /><searchLink fieldCode="DE" term="%22Resource+exploitation%22">Resource exploitation</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Complex+variables%22">Complex variables</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Due to the complex and variable microstructures of different porous media, it is still a challenging task to balance the accuracy and efficiency of 3D models using 3D reconstruction methods, which significantly affects the precisions and convergences for 3D reconstruction models-based numerical simulations in various computation fields. This review summaries the 3D reconstruction methods for complex microstructures of porous media from the imaging devices, techniques and applications aspects. In this review, six categories of 3D reconstruction algorithms are primarily concluded including stereoscopic tomography reconstruction, stochastic reconstruction, theoretical reconstruction, hybrid reconstruction, 3D point cloud reconstruction and intelligence learning-based reconstruction algorithms, in which the basic principles, advantages and limitations of these 3D reconstruction methods are compared and studied. With the 3D reconstructed models, numerical studies of mechanical property, cracking behaviors, hydraulic and thermal properties of porous media are concluded. The review provides various practical and accessible 3D reconstruction methods for various properties studies of porous media, which are helpful for numerous engineering fields such as deep energy and resource exploitations. Highlights: 3D reconstruction methods for complex microstructures of porous media are reviewed. The advantages and limitations of 3D reconstruction methods are discussed. The future research directions of 3D reconstruction methods are provided. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Rock Mechanics & Rock Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00603-025-04516-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 44 StartPage: 7879 Subjects: – SubjectFull: Porous materials Type: general – SubjectFull: Thermal properties Type: general – SubjectFull: Resource exploitation Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Complex variables Type: general Titles: – TitleFull: A Review of 3D Reconstruction Methods for Complex Microstructures of Porous Media: Imaging Devices, Techniques and Applications. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhai, Tian-Ya – PersonEntity: Name: NameFull: Zhao, Zhi – PersonEntity: Name: NameFull: Zhou, Xiao-Ping IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 07232632 Numbering: – Type: volume Value: 58 – Type: issue Value: 7 Titles: – TitleFull: Rock Mechanics & Rock Engineering Type: main |
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