Unsupervised deep learning framework for early detection of wellbore trajectory deviation in drilling operations

Prabhat Singh, Bushitha Vickram, Annmaria Benny, Kadeeja Mariyam, Sudakshina Dan, R. Harishwaran, B. Naveen Kumar, M. Aslam Abdullah

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DOI: 10.3389/frai.2026.1942787
Published: 2026-09-07
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1942787,
  title = {Unsupervised deep learning framework for early detection of wellbore trajectory deviation in drilling operations},
  author = {Prabhat Singh and Bushitha Vickram and Annmaria Benny and Kadeeja Mariyam and Sudakshina Dan and R. Harishwaran and B. Naveen Kumar and M. Aslam Abdullah},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1942787},
  url = {https://doi.org/10.3389/frai.2026.1942787}
}

RIS

TY  - JOUR
TI  - Unsupervised deep learning framework for early detection of wellbore trajectory deviation in drilling operations
AU  - Prabhat Singh
AU  - Bushitha Vickram
AU  - Annmaria Benny
AU  - Kadeeja Mariyam
AU  - Sudakshina Dan
AU  - R. Harishwaran
AU  - B. Naveen Kumar
AU  - M. Aslam Abdullah
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1942787
UR  - https://doi.org/10.3389/frai.2026.1942787
ER  -

APA

Singh, P., Vickram, B., Benny, A., Mariyam, K., Dan, S., Harishwaran, R., Kumar, B. N., & Abdullah, M. A. (2026). Unsupervised deep learning framework for early detection of wellbore trajectory deviation in drilling operations. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1942787

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crossref · retrieved 2026-11-07T18:42:30.938Z