Accurate Prediction of Post-Fracturing Productivity Index Using Advanced Machine Learning Models: A Field-Validated Framework.
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| Title: | Accurate Prediction of Post-Fracturing Productivity Index Using Advanced Machine Learning Models: A Field-Validated Framework. |
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| Authors: | Gamal, Ahmed1 Ahmed.HeHa@pme.suezuni.edu.eg, Nashed, Samuel2, Ejehu, Oluchi2, Nabil, Emad3, Moghanloo, Rouzbeh2 |
| Source: | Petroleum & Coal. 2025, Vol. 67 Issue 3, p841-856. 16p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 192616590 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=192616590 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 841 Titles: – TitleFull: Accurate Prediction of Post-Fracturing Productivity Index Using Advanced Machine Learning Models: A Field-Validated Framework. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gamal, Ahmed – PersonEntity: Name: NameFull: Nashed, Samuel – PersonEntity: Name: NameFull: Ejehu, Oluchi – PersonEntity: Name: NameFull: Nabil, Emad – PersonEntity: Name: NameFull: Moghanloo, Rouzbeh IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13353055 Numbering: – Type: volume Value: 67 – Type: issue Value: 3 Titles: – TitleFull: Petroleum & Coal Type: main |
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