AI Tomographic Inversion

Tomographic inversion is an advanced seismic processing technique used to refine subsurface velocity models by iteratively adjusting them to match observed seismic data. In this process, seismic travel times are inverted to produce a detailed image of the velocity distribution within the Earth's subsurface. 

The technique works by comparing the travel times of seismic waves, recorded at various locations, with those predicted by an initial velocity model. Differences between observed and predicted travel times indicate areas where the velocity model needs adjustment. The model is then iteratively updated to minimize these differences, gradually improving its accuracy.

Tomographic inversion is particularly effective in complex geological settings, where velocity variations can significantly impact seismic imaging. The refined velocity models produced by tomographic inversion are essential for accurate depth conversion, seismic migration, and ultimately, the precise imaging of subsurface structures, which are critical for exploration and development activities.