Prestack amplitude versus angle inversion for Young's modulus and Poisson's ratio based on the exact Zoeppritz equations-Reference-Cited by-同舟云学术

Prestack amplitude versus angle inversion for Young's modulus and Poisson's ratio based on the exact Zoeppritz equations

Published:2017-02-14 Issue:6 Volume:65 Page:1462-1476
ISSN:0016-8025
Container-title:Geophysical Prospecting
language:en
Short-container-title:Geophysical Prospecting

Author:

Zhou Lin¹,Li Jingye¹,Chen Xiaohong¹,Liu Xingye¹,Chen Li¹

Affiliation:

1. State Key Laboratory of Petroleum Resources and Prospecting, National Engineering Laboratory for Offshore Oil Exploration; China University of Petroleum; Beijing 102249 China

Funder

Key State Science and Technology Project

National Natural Science Foundation of China

Publisher

Wiley

Subject

Geochemistry and Petrology,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/1365-2478.12493/fullpdf

Reference29 articles.

1. High-resolution three-term AVO inversion by means of a Trivariate Cauchy probability distribution;Alemie;Geophysics,2011

2. The velocity of compressional waves in rocks to 10 kilobars;Birch;Journal of Geophysical Research,1961

3. Bayesian linearized AVO inversion;Buland;Geophysics,2003

4. Sediments with gas hydrates: internal structure from seismic AVO;Ecker;Geophysics,1998

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-task learning for seismic elastic parameter inversion with the lateral constraint of angle-gather difference;Petroleum Science;2024-06

2. Seismic amplitude inversion based on a new PP-wave reflection coefficient approximation equation for vertical transversely isotropic media;GEOPHYSICS;2024-03-19

3. Intelligent AVA Inversion Using a Convolution Neural Network Trained with Pseudo-Well Datasets;Surveys in Geophysics;2023-01-30

4. Nonlinear Inversion Method of Russell’s Fluid Factor Based on Exact-Zoeppritz Equation;IEEE Transactions on Geoscience and Remote Sensing;2023

5. Model-data-driven P-wave impedance inversion using ResNets and the normalized zero-lag cross-correlation objective function;Petroleum Science;2022-12