Amir Reza Zargar
Data driven auto-picking of surface wave dispersion curve.
Rel. Laura Socco. Politecnico di Torino, Corso di laurea magistrale in Petroleum And Mining Engineering (Ingegneria Del Petrolio E Mineraria), 2023
Abstract
Surface waves (SW) are considered as noise in exploration records. However, they are sensitive to the near-surface properties, and can be used to retrieve shear wave velocity (VS) models. VS models have various applications in different fields. For instance, they are used in geophysical surveys for subsurface exploration. Surface wave analysis has been extensively utilized to derive the VS profile. Extraction of dispersion curves (DCs) is an essential step in surface wave analysis. The DCs are typically picked manually on the dispersion image, which can be a time-consuming process and subject to the expertise of the user. In this study, we presented a comprehensive and fully automated approach for extracting dispersion curves.
This method eliminates the need for manual intervention or human input throughout the process
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