An interpretable attention-guided generative adversarial network framework with dual-domain learning for multi-condition constrained sedimentary facies modeling.
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| Title: | An interpretable attention-guided generative adversarial network framework with dual-domain learning for multi-condition constrained sedimentary facies modeling. |
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| Authors: | Liu, Lei1,2,3,4, Li, Wei1,2,3, Gao, Jian1,5, Yue, Da-Li1,2,3,4 yuedali@cup.edu.cn, Wu, De-Gang1,2,3,4, Wang, Wu-Rong1,2,3, Lin, Jin1,2,3, Li, Zhi-Bo1,2,3,4, Zhong, Qian1,2, Hou, Jia-Gen2,3,4 |
| Source: | Petroleum Science (KeAi Communications Co.). Apr2026, Vol. 23 Issue 4, p1754-1772. 19p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 193664317 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193664317 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.petsci.2026.02.018 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 1754 Titles: – TitleFull: An interpretable attention-guided generative adversarial network framework with dual-domain learning for multi-condition constrained sedimentary facies modeling. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu, Lei – PersonEntity: Name: NameFull: Li, Wei – PersonEntity: Name: NameFull: Gao, Jian – PersonEntity: Name: NameFull: Yue, Da-Li – PersonEntity: Name: NameFull: Wu, De-Gang – PersonEntity: Name: NameFull: Wang, Wu-Rong – PersonEntity: Name: NameFull: Lin, Jin – PersonEntity: Name: NameFull: Li, Zhi-Bo – PersonEntity: Name: NameFull: Zhong, Qian – PersonEntity: Name: NameFull: Hou, Jia-Gen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 16725107 Numbering: – Type: volume Value: 23 – Type: issue Value: 4 Titles: – TitleFull: Petroleum Science (KeAi Communications Co.) Type: main |
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