Adaptive model for rate of penetration prediction based on the dynamic correlation of influencing factors
Modeling comparison analysis revealed that in multiple rounds of prediction based on dynamic correlations, the prediction accuracy in 93% of the prediction rounds exceeded that of the overall correlation, indicating that the adaptive ROP prediction model with dynamic correlations has high application value.
Authors
- Xin Li (ORCID: https://orcid.org/0000-0002-2649-6476)
- Xiaojing Zhou (ORCID: https://orcid.org/0000-0002-8912-598X)
- Zixuan Feng
- Hui Li
- Yonggang Deng
Institutions
- Environmental Protection Engineering (Greece) (GR)
Publication Details
- Journal
- Frontiers in Big Data
- Published
- 2026-01-05
- DOI
- https://doi.org/10.3389/fdata.2025.1676054
- Primary Topic
- Drilling and Well Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00