Least-squares Kirchhoff migration with non-smooth regularisation strategy for subsurface imaging

Hou, Jie; Wang, Yanfei

doi:10.1071/eg16132

Exploration Geophysics

2018

DOI: 10.1071/eg16132

|View full text |Cite

Least-squares Kirchhoff migration with non-smooth regularisation strategy for subsurface imaging

Jie Hou

Yanfei Wang

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A Kirchhoff Migration scheme for elastic obstacle identification

Rabinovich,

Givoli

2024

Inverse Problems

View full text Add to dashboard Cite

Kirchhoff Migration (KM), sometimes called Arrival (or Travel) Time Imaging, is a basic and popular imaging technique based on the arrival time of waves from given sources to given sensors. It is commonly used in the fields of underwater acoustics and solid earth geophysics, for both subsurface structure analysis and for identifying unknown local obstacles (scatterers) in the medium. The present paper concentrates on the latter application. For acoustics, the KM algorithm is extremely simple and efficient, although it usually produces a rather crude image, which is the reason for its use as the method of choice when high resolution is not needed, or as a fast technique to produce an initial guess for a more sophisticated imaging method. For elasticity, KM is much more involved, as the arrival-time algorithm is not obvious, mainly since there is more than one wave speed at each spatial point. In this paper, a new KM scheme is proposed for obstacle identification in an isotropic piecewise-homogeneous elastic medium. The scheme is based on measuring two quantities that are second-order operators of the displacement field, which are related to P and S waves, and applying the acoustic KM algorithm to each of them, with the appropriate wave speed. It is demonstrated numerically that the operator related to S waves results in very good identification in many cases. The fact that measurements based on the S-related operator are preferred over those based on the P-related operator is an empirical observation, and awaits full analysis, although a partial explanation is given here.

show abstract

A Kirchhoff Migration scheme for elastic obstacle identification

Rabinovich,

Givoli

2024

Inverse Problems

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Least-squares Kirchhoff migration with non-smooth regularisation strategy for subsurface imaging

Cited by 1 publication

References 41 publications

A Kirchhoff Migration scheme for elastic obstacle identification

A Kirchhoff Migration scheme for elastic obstacle identification

Contact Info

Product

Resources

About