Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion

被引：14
|
作者：
Lin, Youzuo [1 ]
Theiler, James [1 ]
Wohlberg, Brendt [2 ]
机构：
[1] Los Alamos Natl Lab, Los Alamos, NM 87544 USA
[2] Los Alamos Natl Lab, Theoret Div, Los Alamos, NM 87544 USA
来源：
IEEE SIGNAL PROCESSING MAGAZINE | 2023年 / 40卷 / 01期
关键词：
Seismic measurements; Uncertainty; Surface waves; Surface contamination; Measurement uncertainty; Earthquakes; Predictive models; NEURAL-NETWORK;
D O I：
10.1109/MSP.2022.3217658
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The goal of seismic inversion is to obtain subsurface properties from surface measurements. Seismic images have proven valuable, even crucial, for a variety of applications, including subsurface energy exploration, earthquake early warning, carbon capture and sequestration, estimating pathways of subsurface contaminant transport, etc. These subsurface properties (such as wave speed, density, and elastic velocities) influence the transmission of seismic waves through the subsurface media, and well-understood physics models (so-called "forward models") can be used to predict what surface measurements would be made for any given subsurface configuration.
引用
收藏
页码：115 / 133
页数：19
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