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Pore pressure prediction method based on quantum support vector regression

delete2026-05-11
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PRE
AI
X
Xingye Liu
刘冰 (Bing Liu) *
F
Fen Lyu
C
Chao Li
祖绍环 cover
祖绍环 (Shaohuan Zu)
DOI:10.1016/j.engappai.2026.115069delete
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Abstract

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

Engineering Applications of Artificial Intelligence cover
Engineering Applications of Artificial Intelligence
IF:
8
Papers:
5.3K
Citations:
3.5W

Organization

C
chengdu university of technology
Scholars:
3.3K
Papers: 1.1K
Citations: 0