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Pore pressure prediction method based on quantum support vector regression
DOI:10.1016/j.engappai.2026.115069.png)
Abstract
En 中文
• Supports pore pressure prediction for reservoir management and CO2 storage safety. • Introduces QSVR to capture nonlinear pressure responses from logging data. • Achieves higher accuracy and stability than empirical and classical ML models.
Keywords:
pore pressure prediction
quantum support vector regression
reservoir management
CO2 storage
nonlinear response
Journal
IF:
8
Papers:
5.3K
Citations:
3.5W

