Deep-learning inversion: A next-generation seismic velocity model building method
Deep-learning inversion: A next-generation seismic velocity model building method
Seismic velocity is one of the most important parameters used in seismic exploration. Accurate velocity models are the key prerequisites for reverse time migration and other high-resolution seismic imaging techniques. Such velocity information has traditionally been derived by tomography or full-waveform inversion (FWI), which are time consuming and computationally expensive, …