Ambient Seismic Noise Surface Wave Tomography

Various Instructors

This course will provide the basis for Ambient Seismic Noise Surface Wave Tomography. It will include seismic noise virtual Green’s functions reconstruction, surface wave dispersion curves measurements and inversion for a 3D S-wave velocity model.


2 days

Intended Audience

Intermediate Level

Prerequisites (Knowledge/Experience/Education Required)

Seismic methods, Seismology

Course Description

The course will be divided in four sections. In a first part, the course will give an overview of the theory of seismic surface waves and will describe their main characteristics. A second part will be dedicated to the analysis of surface waves in order to extract the dispersion information that will be necessary to perform surface wave tomography.

The third part will introduce the theory of seismic interferometry, the theory of seismic noise generation and how to retrieve empirical surface wave Green’s functions from seismic noise correlations between pairs of seismic stations.

Finally, in the fourth part, we will see how to perform a surface wave tomography using the dispersion measurements extracted from the noise correlations on dense seismic networks to obtain 3D shear velocity cubes of the sub-surface.

Learner Outcomes

The aim of this course is to provide a fundamental understanding about ambient noise surface wave tomography (ANSWT) so that practitioners can decide if an ANSWT technique can help solve their problem, design a survey to image an objective, understand the interpretive choices made in data processing, and set realistic expectations for what information can be gleaned. Case histories, spanning applications from many areas in the geosciences, are used as an underlying framework to bind the material together.

Instructor Biographies

Aurélien Mordret
Małgorzata Chmiel
Florent Brenguier
Dan Hollis