Stochastic parameter estimation of heterogeneity from crosswell seismic data based on the Monte Carlo radiative transfer theory-Reference-Cited by-同舟云学术

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Stochastic parameter estimation of heterogeneity from crosswell seismic data based on the Monte Carlo radiative transfer theory

Published:2017-04-05 Issue:3 Volume:14 Page:621-633
ISSN:1742-2132
Container-title:Journal of Geophysics and Engineering
language:
Short-container-title:J. Geophys. Eng.

Author:

Meng Xiangcui,Wang Shangxu,Tang Genyang,Li Jingnan,Sun Chao

Funder

the National Key Basic Research Development Program

the Natural Science Foundation of China

Science Foundation of China University of Petroleum, Beijing

Publisher

Oxford University Press (OUP)

Subject

Management, Monitoring, Policy and Law,Industrial and Manufacturing Engineering,Geology,Geophysics

Link

http://stacks.iop.org/1742-2140/14/i=3/a=621/pdf

Reference46 articles.

1. Analysis of the seismic coda of local earthquakes as scattered waves

2. Origin of coda waves: Source, attenuation, and scattering effects

3. Transport equations for the Stokes parameters from Maxwell’s equations in a random medium

4. Finite difference simulations of seismic scattering: Implications for the propagation of short-period seismic waves in the crust and models of crustal heterogeneity

5. Seismic scattering and absorption parameters in the W-Bohemia/Vogtland region from elastic and acoustic radiative transfer theory

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2. Non-Stationary Random Medium Parameter Estimation of Petrophysical Parameters Driven by Seismic Data;Energies;2022-07-01

3. On Robustly Convergent and Efficient Iterative Methods for Anisotropic Radiative Transfer;Journal of Scientific Computing;2022-02-07

4. Stochastic Inversion of Gaussian Random Media Using Transverse Coherence Functions for Reflected Waves: Theory and Method;Journal of Geophysical Research: Solid Earth;2020-11-25

5. Nonlinear crosshole traveltime tomography using hybridizing particle swarm optimization with linearized least squares algorithm;B GEOFIS TEOR APPL;2018

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