Velocity Model Building from Raw Shot Gathers Using Machine Learning
In the realm of seismic exploration, velocity model building stands as a cornerstone, essential for accurately imaging the subsurface. Traditionally, this process has relied on methods rooted in physics and geophysics, demanding significant time, expertise, and computational resources. However, the advent of machine learning has introduced a new paradigm, offering a more efficient and…