Dimensionally Consistent Formation Pressure Prediction from Borehole Sensing Data Using Pressure Ratio Symbolic Regression.

Zhao C, Zhang M, Zhou L, Wang J, Kou W, Liu G

DOI: 10.3390/s26175440
Published: 2026 Aug 28
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26175440,
  title = {Dimensionally Consistent Formation Pressure Prediction from Borehole Sensing Data Using Pressure Ratio Symbolic Regression.},
  author = {Zhao C and Zhang M and Zhou L and Wang J and Kou W and Liu G},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26175440},
  url = {https://doi.org/10.3390/s26175440}
}

RIS

TY  - JOUR
TI  - Dimensionally Consistent Formation Pressure Prediction from Borehole Sensing Data Using Pressure Ratio Symbolic Regression.
AU  - Zhao C
AU  - Zhang M
AU  - Zhou L
AU  - Wang J
AU  - Kou W
AU  - Liu G
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26175440
UR  - https://doi.org/10.3390/s26175440
ER  -

APA

C, Z., M, Z., L, Z., J, W., W, K., & G, L. (2026). Dimensionally Consistent Formation Pressure Prediction from Borehole Sensing Data Using Pressure Ratio Symbolic Regression.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26175440

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pubmed · retrieved 2026-09-25T21:13:05.238Z