Algorithm for adaptive extraction of surface-wave dispersion curves based on spectral image clustering

An adaptive automatic algorithm for surface-wave dispersion curve extraction AACPDC (Automatic Adaptive Clustering Picking Dispersion Curves) was developed for the MASW method. The algorithm combines spectralimage thresholding, DBSCAN clustering, curve reconstruction in low signal-to-noise ratio regions, and outlier correction. Spectral analysis is performed using the noise-resistant SFK method. The algorithm was validated on synthetic data, engineering seismic surveys from the Altai Republic, and 3D seismic data from Russian oil and gas fields. The results demonstrated robust extraction of the fundamental mode under various geological conditions and fully automated processing without parameter retuning.

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