Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 41 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

A hybrid data-centric machine learning for lost circulation prediction using imbalanced drilling and geological datasets

  • Osama G. Al-Salih
  • Dong Guangjian
  • Watheq J. Al-Mudhafar
Open at sourcePDFDOICite

Related

  1. Geological concept revision during appraisal drilling: a replay of the McLeod VMS deposit, Matagami
    Jef Caers
    EarthArXivPreprintCC BY 4.0Full textGeneral earth scienceEarthArXiv
  2. Bayesian deep learning integration of geophysical and drilling data for 3D prediction of copper mineralization and drill targeting: a case study from the Kogodai prospect, Rudny Altai
    Margarita Veshchezerova, Egor Barashov, Evgenii Gusev +4
    arXivPreprintCC BY 4.0Full textGeophysics & seismologyarXiv
  3. Prediction of blasting fragmentation based on geological characterization of in-situ rock mass discontinuities
    Jianli Cao, Bingchen Han, Huan Liu +5
    Scientific ReportsPeer-reviewedCC BY 4.0Full textCrossref
  4. 012 Imbalanced-Ternary Entanglement Harvest V0.1: Dipole BEC + UDW Zero-Parameter Prediction
    Hongjie Yu
    ZenodoPreprintCC BY 4.0Full textZenodo
  5. Machine learning–driven optimization of abrasive waterjet drilling of custom 450 steel
    Karthick Muniyappan, Lenin Nagarajan, M. Siva Kumar +3
    Scientific ReportsPeer-reviewedCC BY 4.0Crossref

Cite

BibTeXRIS
BibTeX
@article{alsalih2026hybrid,
  title = {{A hybrid data-centric machine learning for lost circulation prediction using imbalanced drilling and geological datasets}},
  author = {Osama G. Al-Salih and Dong Guangjian and Watheq J. Al-Mudhafar},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-75043-9},
  url = {https://www.nature.com/articles/s41598-026-75043-9},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - A hybrid data-centric machine learning for lost circulation prediction using imbalanced drilling and geological datasets
AU  - Osama G. Al-Salih
AU  - Dong Guangjian
AU  - Watheq J. Al-Mudhafar
PY  - 2026
DA  - 2026/10/20
JO  - Scientific Reports
DO  - 10.1038/s41598-026-75043-9
UR  - https://www.nature.com/articles/s41598-026-75043-9
SN  - 2045-2322
ER  -