摘要
地震反演方法由于采用算法的不同而被分为确定性反演与地质统计学反演。本文从贝叶斯公式出发,将确定性反演与地质统计学反演统一在贝叶斯参数估计框架下,从理论框架上分析了确定性反演和地质统计学反演的异同点,提出了一种联合使用确定性反演与地质统计学反演的方法——地震波阻抗协同反演,通过理论模型和实际资料的应用验证了本文方法的可行性和有效性,证明了所提出的方法能够提高反演的精确度与准确性。
Seismic inversion methods are divided into deterministic inversion and geostatistical inversion due to the different algorithms used.Starting from the Bayesian formula,this article unifies deterministic inversion and statistical inversion under the Bayesian parameter estimation framework.It analyzes the similarities and differences between deterministic inversion and geostatistical inversion from a theoretical framework,and proposes a method of combining deterministic inversion and geostatistical inversion-seismic wave impedance co inversion.The feasibility and effectiveness of this method are verified through the application of theoretical models and practical data.It has been proven that the proposed method can improve the accuracy and accuracy of inversion.
作者
任立龙
阎建国
谢锐
黄闻露
REN Lilong;YAN Jianguo;XIE Rui;HUANG Wenlu(Chengdu University of Technology,Chengdu 610059,Sichuan,China;Xincheng Gold Company,Shandong Gold Mining Stock Co.,Ltd.,Laizhou 261438,Shandong,China)
出处
《矿产勘查》
2025年第4期846-856,共11页
Mineral Exploration
基金
中国石油科技重大专项(2017EG0402,2019EG26)资助。
关键词
确定性反演
地质统计学反演
序贯高斯模拟
贝叶斯参数估计
地震波阻抗反演
deterministic model inversion
geostatistical inversion
sequential Gaussian simulation
Bayesian parameter estimation
seismic impedance inversion