MATLAB Implementation of f-K Migration for Seismic Imaging

f-K migration is one of the widely adopted methods in seismic imaging applications. This technique transforms seismic data from the time domain to the frequency-wavenumber domain using Fourier transforms, then applies migration processing in the frequency domain to obtain more accurate subsurface structural information. In MATLAB implementations, this typically involves using fft2 for 2D Fourier transformation and applying phase-shift operations for wavefield continuation. The f-K migration method finds extensive applications in seismic exploration, including petroleum exploration, groundwater resource assessment, and other geophysical investigations. Through f-K migration processing, seismic data can be transformed into results with higher resolution and more accurate imaging, enabling geologists and engineers to better understand subsurface structures and resource distribution patterns. Key implementation steps include frequency-domain interpolation, Stolt migration algorithms, and inverse Fourier transforms to reconstruct the migrated image.