A Different Cell Size Approach to Fast Full-Waveform Inversion of Seismic Data

TL;DR

This paper introduces a novel cell size approach to enhance the efficiency of full-waveform inversion in seismic data analysis, reducing memory requirements and improving subsurface property determination.

Contribution

The paper proposes a different cell size method to address high memory usage in full-waveform inversion, validated against synthetic models with improved results.

Findings

Reduced memory usage compared to traditional methods

Successful validation with synthetic models containing voids

Enhanced accuracy in subsurface property estimation

Abstract

Understanding the causes of sinkholes and determining the earth's subsurface properties will help Engineering Geologists in designing and constructing different kinds of structures. Also, determining subsurface properties will increase possibilities of preventing expensive structural damages as well as a loss of life. Among the available health monitoring techniques, non-destructive methods play an important role. Full-waveform inversion together with the Gauss-Newton method, which we called as the regular method, able to determine the properties of the subsurface data from seismic data. However, one of the drawbacks of the Gauss-Newton method is a large memory requirement to store the Jacobian matrix. In this work, we use a different cell size approach to address the above issue. Results are validated for a synthetic model with an embedded air-filled void and compared with the regular method.