Hierarchical Bayesian Probabilistic Seismic AVO Inversion Using Gibbs Sampling With IA2RMS Algorithm
Author:
Affiliation:
1. College of computer science and technology, China University of Petroleum (East China), Qingdao, China
2. School of Geosciences, China University of Petroleum (East China), Qingdao, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Science Foundation from SINOPEC Key Laboratory of Geophysics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/9651998/09792319.pdf?arnumber=9792319
Reference17 articles.
1. Direct estimation of discrete fluid facies and fluid indicators via a Bayesian Seismic Probabilistic Inversion and a novel exact PP-wave reflection coefficient
2. A Monte Carlo approach to the joint estimation of reservoir and elastic parameters from seismic amplitudes
3. Hybrid Global Stochastic and Bayesian Linearized Acoustic Seismic Inversion Methodology
4. Linear inverse Gaussian theory and geostatistics
5. Joint Bayesian inversion based on rock-physics prior modeling for the estimation of spatially correlated reservoir properties
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1. Rock-physics-driven nonlinear seismic inversion for petrophysical parameters of reservoir;CHINESE J GEOPHYS-CH;2024
2. Seismic nonlinear frequency-dependent inversion for viscoelastic media based on a modified scattering coefficient approximation;Journal of Applied Geophysics;2024-03
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