3D Visualization of Seismic Data

MATLAB serves as a powerful scientific computing and visualization platform with extensive applications in seismic data processing. Its 3D visualization capabilities, in particular, enable intuitive representation of complex seismic data distributions, helping researchers quickly understand subsurface structural characteristics.

### Core Functions for 3D Seismic Data Visualization The built-in `slice` function facilitates slice-based visualization of 3D data, functioning like a "CT scan" of underground structures to observe seismic wavefields or velocity model distributions from multiple perspectives. The `contour` function series generates contour plots that clearly display gradient variations of attribute parameters through isolines.

### Advantages of Interactive Operations Dynamic Slicing: Supports mouse-driven slice position adjustment for real-time observation of data features across different cross-sections View Rotation: Enables free 3D view rotation via toolbar controls to obtain optimal observation angles Color Mapping: Customizable colormaps enhance visualization effectiveness for specific value ranges Data Clipping: Interactive selection of local regions for focused analysis

This visualization approach applies not only to raw seismic waveform display but also to inversion result validation and velocity model analysis scenarios. By transforming abstract data into intuitive images, it significantly improves the efficiency and accuracy of seismic data interpretation.