Downhole Camera Runs Validate the Capability of Machine Learning Models to Accurately Predict Perforation Entry Hole Diameter.
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| Title: | Downhole Camera Runs Validate the Capability of Machine Learning Models to Accurately Predict Perforation Entry Hole Diameter. |
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| Authors: | Nashed, Samuel1 (AUTHOR) samuel.a.nashed-1@ou.edu, Lnu, Srijan1 (AUTHOR), Guezei, Abdelali1 (AUTHOR), Ejehu, Oluchi1 (AUTHOR), Moghanloo, Rouzbeh1 (AUTHOR) |
| Source: | Energies (19961073). Nov2024, Vol. 17 Issue 22, p5558. 20p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 181164465 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Downhole Camera Runs Validate the Capability of Machine Learning Models to Accurately Predict Perforation Entry Hole Diameter. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nashed%2C+Samuel%22">Nashed, Samuel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> samuel.a.nashed-1@ou.edu</i><br /><searchLink fieldCode="AR" term="%22Lnu%2C+Srijan%22">Lnu, Srijan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guezei%2C+Abdelali%22">Guezei, Abdelali</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ejehu%2C+Oluchi%22">Ejehu, Oluchi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moghanloo%2C+Rouzbeh%22">Moghanloo, Rouzbeh</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Nov2024, Vol. 17 Issue 22, p5558. 20p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=181164465 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en17225558 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 5558 Titles: – TitleFull: Downhole Camera Runs Validate the Capability of Machine Learning Models to Accurately Predict Perforation Entry Hole Diameter. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nashed, Samuel – PersonEntity: Name: NameFull: Lnu, Srijan – PersonEntity: Name: NameFull: Guezei, Abdelali – PersonEntity: Name: NameFull: Ejehu, Oluchi – PersonEntity: Name: NameFull: Moghanloo, Rouzbeh IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 11 Text: Nov2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 17 – Type: issue Value: 22 Titles: – TitleFull: Energies (19961073) Type: main |
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