AI Model Parameterization in Seismic Inversion

Model parameterization in seismic inversion involves defining how subsurface properties like velocity, density, or impedance are represented in the inversion process. This includes choosing the type of parameters, setting the grid resolution, and incorporating geological information. Effective parameterization ensures that the resulting subsurface models are both detailed and geologically realistic, balancing accuracy with computational efficiency. Proper parameterization is crucial for producing reliable and interpretable results in seismic inversion, aiding in better decision-making for exploration and development.