Paper Summary
We present a multi-parameter Full Waveform Inversion (MP-FWI) strategy designed to enhance
reservoir characterization by jointly inverting for P-wave velocity and angle-dependent reflectivity. The formulation exploits the distinct sensitivities of seismic traveltimes and amplitudes to decouple low- and high-wavenumber components of the model, improving the recovery of subsurface properties critical to prospect evaluation.
Implemented in a full 5D pre-stack framework, the method produces angle-domain gathers suitable for amplitude variation with angle (AVA) analysis, and therefore provides a practical path to elastic property estimation beyond acoustic assumptions. We demonstrate the approach on wide-azimuth towed streamer data from the U.S. Outer Continental Shelf, where the inverted reflectivity volumes and AVA responses show strong agreement with well data. The method proves effective in mitigating parameter trade-offs inherent to multi-parameter inversion, while the iterative optimization approach compensates for limitations of conventional migration-based
imaging, particularly with streamer acquisitions. The workflow delivers high-resolution subsurface models that potentially enable rock property estimation in complex geological settings.