Enhancing the drilling efficiency through the application of machine learning and optimization algorithm
| dc.contributor.author | Boukredera, Farouk Said | |
| dc.contributor.author | Riad Youcefi, Mohamed | |
| dc.contributor.author | HADJADJ, Ahmed | |
| dc.contributor.author | Ezenkwu, Chinedu Pascal | |
| dc.contributor.author | Vaziri, Vahid | |
| dc.contributor.author | Aphale, Sumeet S. | |
| dc.contributor.institution | University of Aberdeen.Engineering | en |
| dc.contributor.institution | University of Aberdeen.Centre for Applied Dynamics Research (CADR) | en |
| dc.contributor.institution | University of Aberdeen.Aberdeen HVDC Research Centre | en |
| dc.date.accessioned | 2023-08-28T10:40:01Z | |
| dc.date.available | 2023-08-28T10:40:01Z | |
| dc.date.issued | 2023-11-01 | |
| dc.description | Acknowledgment We would like to acknowledge the collaborative efforts of SONATRACH Group, and the universities involved in this research (Université de Boumerdes, Université de laghouat and University of Aberdeen). | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 11 | |
| dc.format.extent | 6016075 | |
| dc.identifier | 276849308 | |
| dc.identifier | 3529ff2b-2b33-4f44-b82b-b2288b26074b | |
| dc.identifier | 85171538020 | |
| dc.identifier.citation | Boukredera, F S, Riad Youcefi, M, HADJADJ, A, Ezenkwu, C P, Vaziri, V & Aphale, S S 2023, 'Enhancing the drilling efficiency through the application of machine learning and optimization algorithm', Engineering Applications of Artificial Intelligence, vol. 126, no. Part C, 107035. https://doi.org/10.1016/j.engappai.2023.107035 | en |
| dc.identifier.doi | 10.1016/j.engappai.2023.107035 | |
| dc.identifier.issn | 0952-1976 | |
| dc.identifier.other | ORCID: /0000-0002-1691-1648/work/141301316 | |
| dc.identifier.other | ORCID: /0000-0003-1882-2013/work/141302228 | |
| dc.identifier.uri | https://hdl.handle.net/2164/21559 | |
| dc.identifier.vol | 126 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Engineering Applications of Artificial Intelligence | en |
| dc.subject | Drilling optimization | en |
| dc.subject | Drilling vibrations | en |
| dc.subject | Artificial Neural Network | en |
| dc.subject | Machine Learning | en |
| dc.subject | Rate of Penetration | en |
| dc.subject | TA Engineering (General). Civil engineering (General) | en |
| dc.subject.lcc | TA | en |
| dc.title | Enhancing the drilling efficiency through the application of machine learning and optimization algorithm | en |
| dc.type | Journal article | en |
Files
Original bundle
1 - 1 of 1
- Name:
- Said_etal_EAAI_Enhancing_The_Drilling_VoR.pdf
- Size:
- 5.74 MB
- Format:
- Adobe Portable Document Format
