Study on Gas–Solid Particle Dynamics and Optimal Drilling Parameters in Reverse Circulation DTH Drilling Based on CFD and Machine Learning.
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| Title: | Study on Gas–Solid Particle Dynamics and Optimal Drilling Parameters in Reverse Circulation DTH Drilling Based on CFD and Machine Learning. |
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| Authors: | Li, Kunkun1, Zhou, Jing1,2, zhoukeke2003@163.com, Yu, Peizhi1,3, Wu, Hao1,3, Xu, Tianhao2,3 |
| Source: | Applied Sciences (2076-3417); Feb2026, Vol. 16 Issue 3, p1253, 21p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 191608620 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=aci&AN=191608620 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16031253 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1253 Titles: – TitleFull: Study on Gas–Solid Particle Dynamics and Optimal Drilling Parameters in Reverse Circulation DTH Drilling Based on CFD and Machine Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Kunkun – PersonEntity: Name: NameFull: Zhou, Jing – PersonEntity: Name: NameFull: Yu, Peizhi – PersonEntity: Name: NameFull: Wu, Hao – PersonEntity: Name: NameFull: Xu, Tianhao IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 3 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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