石油物探2026，Vol.65Issue(3)：459-468,10.DOI:10.12431/issn.1000-1441.2025.0341
基于混合注意力机制的智能化地震波阻抗反演方法研究
Research on an intelligent method for seismic impedance inversion based on a hybrid attention mechanisms
王东亮 1杨柳鑫2
作者信息
- 1. 北京语言大学,北京 100083
- 2. 中石化石油物探技术研究院有限公司,江苏 南京 211103
- 折叠
摘要
Abstract
Seismic impedance inversion is a key technique for reservoir prediction.In recent years,artificial intelligence has demonstrated great application potential in impedance inversion.However,it is often difficult to obtain large-scale,high-quality labeled data in practical applications.Therefore,intelligent inversion based on conventional supervised learning suffers from low accuracy and poor applicability when dealing with complex reservoirs characterized by rapid lithological changes,strong heterogeneity,and small thickness.This paper proposes an inversion method based on the CBAM hybrid attention mechanism.The method constructs an intelligent inversion model using a self-supervised learning framework.The model requires no labeled data for training,thereby overcoming the limitations imposed by insufficient labeled training data in practical applications.CBAM effectively enhances the model's ability to extract critical information and improves the accuracy and reliability of seismic inversion,while reducing model dependence on training set size.Application results on synthetic and field data demonstrate that the proposed method can achieve high-accuracy seismic impedance inversion and reservoir prediction in complicated geologic conditions.关键词
混合注意力机制/波阻抗反演/自监督学习/深度学习/储层预测Key words
hybrid attention mechanisms/seismic impedance inversion/self-supervised learning/deep learning/reservoir prediction分类
能源科技引用本文复制引用
王东亮,杨柳鑫..基于混合注意力机制的智能化地震波阻抗反演方法研究[J].石油物探,2026,65(3):459-468,10.
