2024
DOI: 10.1093/gji/ggae128
|View full text |Cite
|
Sign up to set email alerts
|

Joint data and model-driven simultaneous inversion of velocity and density

Guoxin Chen,
Jinxin Chen,
Kristian Jensen
et al.

Abstract: Summary Density is an important parameter for both geological research and geophysical exploration. However, for model-driven seismic inversion methods, high-fidelity density inversion is challenging due to seismic wave travel-time insensitivity to density, and crosstalk that density has with velocity. To circumvent the challenge of density inversion, some inversion methods treat density as a constant value or derive density from velocity through empirical equation. On the other hand, deep learn… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
references
References 117 publications
0
0
0
Order By: Relevance