Hybrid Symbolic Regression and Machine Learning Approaches for Modeling Gas Lift Well Performance.
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| Title: | Hybrid Symbolic Regression and Machine Learning Approaches for Modeling Gas Lift Well Performance. |
|---|---|
| Authors: | Nashed, Samuel1, samuel.a.nashed-1@ou.edu, Moghanloo, Rouzbeh1 |
| Source: | Fluids; Jul2025, Vol. 10 Issue 7, p161, 23p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 186982311 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Hybrid Symbolic Regression and Machine Learning Approaches for Modeling Gas Lift Well Performance. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Nashed%2C+Samuel%22">Nashed, Samuel</searchLink><relatesTo>1</relatesTo>, <i>samuel.a.nashed-1@ou.edu</i><br /><searchLink fieldCode="AU" term="%22Moghanloo%2C+Rouzbeh%22">Moghanloo, Rouzbeh</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Fluids%22">Fluids</searchLink>; Jul2025, Vol. 10 Issue 7, p161, 23p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186982311 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/fluids10070161 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 161 Titles: – TitleFull: Hybrid Symbolic Regression and Machine Learning Approaches for Modeling Gas Lift Well Performance. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nashed, Samuel – PersonEntity: Name: NameFull: Moghanloo, Rouzbeh IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 23115521 Numbering: – Type: volume Value: 10 – Type: issue Value: 7 Titles: – TitleFull: Fluids Type: main |
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