Determination of the Rate of Penetration by Robust Machine Learning Algorithms Based on Drilling Parameters
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Chemical Society
2023-11-01
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| Series: | ACS Omega |
| Online Access: | https://doi.org/10.1021/acsomega.3c02364 |
| _version_ | 1797393914179616768 |
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| author | Seyed Vahid Alavi Nezhad Khalil Abad Omid Hazbeh Meysam Rajabi Somayeh Tabasi Sahar Lajmorak Hamzeh Ghorbani Ahmed E. Radwan Mohammad Mudabbir |
| author_facet | Seyed Vahid Alavi Nezhad Khalil Abad Omid Hazbeh Meysam Rajabi Somayeh Tabasi Sahar Lajmorak Hamzeh Ghorbani Ahmed E. Radwan Mohammad Mudabbir |
| author_sort | Seyed Vahid Alavi Nezhad Khalil Abad |
| collection | DOAJ |
| first_indexed | 2024-03-09T00:11:52Z |
| format | Article |
| id | doaj.art-10bae2b20fad411bbe070da7375142a7 |
| institution | Directory Open Access Journal |
| issn | 2470-1343 |
| language | English |
| last_indexed | 2024-03-09T00:11:52Z |
| publishDate | 2023-11-01 |
| publisher | American Chemical Society |
| record_format | Article |
| series | ACS Omega |
| spelling | doaj.art-10bae2b20fad411bbe070da7375142a72023-12-12T09:54:17ZengAmerican Chemical SocietyACS Omega2470-13432023-11-01849463904639810.1021/acsomega.3c02364Determination of the Rate of Penetration by Robust Machine Learning Algorithms Based on Drilling ParametersSeyed Vahid Alavi Nezhad Khalil Abad0Omid Hazbeh1Meysam Rajabi2Somayeh Tabasi3Sahar Lajmorak4Hamzeh Ghorbani5Ahmed E. Radwan6Mohammad Mudabbir7Department of Civil Engineering, Birjand University of Technology, Birjand, IranFaculty of Earth Sciences, Shahid Chamran University, Ahwaz, IranDepartment of Mining Engineering, Birjand University of Technology, Birjand, IranFaculty of Industry and Mining (Khash), University of Sistan and Baluchestan, Zahedan, IranDepartment of Earth Sciences, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, IranYoung Researchers and Elite Club, Ahvaz Branch, Islamic Azad University, Ahvaz, IranFaculty of Geography and Geology, Institute of Geological Sciences, Jagiellonian University, Kraków, PolandDoctoral School of Materials Science and Technologies, Obuda University, Budapest, Hungaryhttps://doi.org/10.1021/acsomega.3c02364 |
| spellingShingle | Seyed Vahid Alavi Nezhad Khalil Abad Omid Hazbeh Meysam Rajabi Somayeh Tabasi Sahar Lajmorak Hamzeh Ghorbani Ahmed E. Radwan Mohammad Mudabbir Determination of the Rate of Penetration by Robust Machine Learning Algorithms Based on Drilling Parameters ACS Omega |
| title | Determination of the Rate of Penetration by Robust Machine Learning Algorithms Based on Drilling Parameters |
| title_full | Determination of the Rate of Penetration by Robust Machine Learning Algorithms Based on Drilling Parameters |
| title_fullStr | Determination of the Rate of Penetration by Robust Machine Learning Algorithms Based on Drilling Parameters |
| title_full_unstemmed | Determination of the Rate of Penetration by Robust Machine Learning Algorithms Based on Drilling Parameters |
| title_short | Determination of the Rate of Penetration by Robust Machine Learning Algorithms Based on Drilling Parameters |
| title_sort | determination of the rate of penetration by robust machine learning algorithms based on drilling parameters |
| url | https://doi.org/10.1021/acsomega.3c02364 |
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