First Published: First Break - January 2026, by James Sheng, Guanghui Huang, Terence Krishnasamy, Andrew Peterson, Jaime Ramos-Martínez and Carlos Calderón-Macías, TGS
Abstract
We introduce a multiparameter full-waveform inversion (FWI) approach for land seismic imaging that jointly estimates subsurface velocity and reflectivity. The method employs a scale-separation strategy to recover background velocity and high-resolution reflectivity, extending imaging beyond the depth limits of head and diving waves. To enhance robustness against noise and low-frequency limitations, we incorporate a dynamic matching objective function that aligns observed and modelled phases through multidimensional correlation, reducing sensitivity to amplitude mismatches and low signal-to-noise ratios.
a), b) RTM images at depths 1.5 and 3.4 km, respectively; c), d) MP-FWII images for the same depths.
The reflectivity kernel further improves high-wavenumber content, delivering superior resolution and structural coherence compared to conventional imaging. Application to a Midland Basin land dataset demonstrates the method’s potential for high-resolution imaging in complex geological settings.
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