Enabling Horizon Tracking and Grid Regeneration

The Green Mountain velocity model, as a commonly used geophysical data model, typically stores subsurface velocity structure information in GRD format. While this binary format is space-efficient, practical applications often require conversion to more manageable text formats (like TXT) for subsequent analysis. The conversion process must maintain data integrity and precision, ensuring velocity values remain accurate without distortion.

Converted TXT data provides ideal conditions for horizon tracking. Horizon tracking is a key technique in seismic interpretation that identifies subsurface stratigraphy by detecting velocity discontinuity interfaces. Based on text-formatted velocity data, automated tracking algorithms (such as gradient-based edge detection) or interactive tracking tools can accurately demarcate boundaries between different stratigraphic units. Implementation typically involves scanning velocity profiles to detect sharp gradients using convolution kernels or machine learning classifiers.

Grid regeneration is crucial for model optimization. Original GRD data grids may not meet specific research requirements. After conversion to text format, flexible implementations become possible: 1) Local grid refinement to enhance resolution in key areas 2) Non-uniform grid partitioning aligned with geological features 3) Coordinate system transformations to adapt to different workflows. This conversion is particularly suitable for integration with finite element analysis, ray tracing algorithms, and other numerical methods that require customized meshing.

This technical workflow is especially valuable for seismic inversion, reservoir modeling, and other applications requiring multiple data iterations. Converting specialized format data to universal text format significantly improves geophysical data operability and cross-platform compatibility, while enabling programmatic manipulation through Python/NumPy scripts or MATLAB routines for automated processing pipelines.