SEG Technical Program Expanded Abstracts 2017 2017
DOI: 10.1190/segam2017-17741949.1
|View full text |Cite
|
Sign up to set email alerts
|

An effective multiparameter full-waveform inversion in acoustic anisotropic media

Abstract: Multi-parameter Full Waveform Inversion (FWI) suffers from leakage among different medium properties. Here we discuss a practical multi-parameter FWI solution that minimizes leakage and retrieves the long-wavelength features of the anisotropic earth model. Our algorithm is based on a regularization of the objective function and a specific parameterization of an acoustic Transversely Isotropic (TI) medium consisting of the vertical velocity, and Thomsen parameters epsilon and delta. We show, by using synthetic … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2018
2018
2019
2019

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 10 publications
0
1
0
Order By: Relevance
“…One may also choose to balance the differences of different parameters using a tuning factor to make the misfit function decrease along the optimal composite gradient direction (Wang 1998;Gao and Wang 2016). Adding constraints, such as Total Variation regularization, to the misfit function is also helpful for reducing leakage of imprints between different parameters (Ramos-Martínez et al 2017). Meanwhile, proper inversion strategies, such as a multi-scale inversion strategy or inverting one parameter by one parameter sequentially (Waheed et al 2016), are also helpful for multiple parameter inversions.…”
Section: Introductionmentioning
confidence: 99%
“…One may also choose to balance the differences of different parameters using a tuning factor to make the misfit function decrease along the optimal composite gradient direction (Wang 1998;Gao and Wang 2016). Adding constraints, such as Total Variation regularization, to the misfit function is also helpful for reducing leakage of imprints between different parameters (Ramos-Martínez et al 2017). Meanwhile, proper inversion strategies, such as a multi-scale inversion strategy or inverting one parameter by one parameter sequentially (Waheed et al 2016), are also helpful for multiple parameter inversions.…”
Section: Introductionmentioning
confidence: 99%