Full waveform inversion (FWI) is an increasingly popular algorithm for automatically improving earth models in seismic exploration. The method is incredibly computationally expensive because the earth model is built up with many iterations of forward modelling and reverse time migration (RTM).
Therefore, an FWI implementation must be both high performance, and flexible. This commercial case study outlines our approach to minimizing the cost of a flexible implementation.