Research on an intelligent drilling parameter optimization method using sliding window segmentation based on the hydraulic-mechanical specific energy model
- DOI
- 10.1371/journal.pone.0339324
- Published
- 2026-01-02
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0339324,
title = {Research on an intelligent drilling parameter optimization method using sliding window segmentation based on the hydraulic-mechanical specific energy model},
author = {Wei Li and Yapeng Liu and Xiang Li and Bowen Deng and Huan Zhao and Lun Zhu and Ullah Zain},
year = {2026},
journal = {PLOS One},
doi = {10.1371/journal.pone.0339324},
url = {https://doi.org/10.1371/journal.pone.0339324}
}RIS
TY - JOUR TI - Research on an intelligent drilling parameter optimization method using sliding window segmentation based on the hydraulic-mechanical specific energy model AU - Wei Li AU - Yapeng Liu AU - Xiang Li AU - Bowen Deng AU - Huan Zhao AU - Lun Zhu AU - Ullah Zain PY - 2026 JO - PLOS One DO - 10.1371/journal.pone.0339324 UR - https://doi.org/10.1371/journal.pone.0339324 ER -
APA
Li, W., Liu, Y., Li, X., Deng, B., Zhao, H., Zhu, L., & Zain, U. (2026). Research on an intelligent drilling parameter optimization method using sliding window segmentation based on the hydraulic-mechanical specific energy model. PLOS One. https://doi.org/10.1371/journal.pone.0339324
Source records
- crossref · retrieved 2026-09-26T10:04:39.065Z