From deviation risk to trajectory complexity: machine learning-based deviation characterization and tortuosity analysis for wellbore quality assessment
Crossref DOI link: https://doi.org/10.1038/s41598-026-48924-2
Published Online: 2026-05-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Bhattacherjee, Rupom
Ahmed, Nayem
Sutradhor, Sree Sujon
Text and Data Mining valid from 2026-05-04
Accepted Manuscript valid from 2026-05-04
Article History
Received: 27 January 2026
Accepted: 10 April 2026
First Online: 4 May 2026
Declarations
:
: The authors declare no competing interests.