Surface Wave Inversion

This example demonstrates surface wave inversion, providing valuable insights into this geophysical methodology. The implementation includes detailed file descriptions to help users better understand data structures and processing workflows. Surface wave inversion is a geophysical technique used to infer subsurface geological structures by analyzing seismic data. The algorithm typically involves dispersion curve extraction from recorded surface waves, followed by an iterative inversion process to match observed and synthetic data. Key computational components may include frequency-velocity spectrum calculation, forward modeling using modal summation techniques, and optimization algorithms like least-squares inversion. Compared to conventional geological exploration methods, surface wave inversion provides higher-resolution subsurface imaging, making it particularly valuable in petroleum and natural gas exploration. Through studying this implementation, users can better leverage surface wave inversion for subsurface characterization, with potential code extensions including parallel processing for large datasets or integration with machine learning approaches for automated parameter optimization.