Mike Warner and Lluis Guasch were presented the award at the EAGE 2015.
For their oral paper 'Adaptive waveform inversion – FWI without cycle skipping – theory', presented at the 76th EAGE Conference & Exhibition, Amsterdam, 16-19 June 2014.
In this first of two, innovative, companion papers, Warner and Guasch reformulate the conventional full-waveform inversion (FWI) algorithm so that it adapts predicted data to observed data using Wiener filters and then iterates the model by forcing the Wiener filters towards zero-lag delta functions. The authors show their adaptive FWI scheme to be immune to cycle skipping, a key issue in waveform inversion, and to invert, successfully, data for which conventional FWI fails entirely. Being robust to cycle-skipping, the new method does not require iteration from low-frequency components in the data or a highly accurate starting model. Adaptive FWI has some features in common with wave-equation migration velocity analysis (WEMVA) but it is applicable to all arrivals, including multiples and refractions, and does not incur the high-computational costs of 3D WEMVA.