相位驱动全波形反演及其在塔里木油田地震勘探中的应用OA

Full waveform inversion(FWI)has demonstrated significant potential for high-resolution velocity model building.However,its application to land seismic data remains challenging due to complex near-surface conditions,irregular acquisition geometries,intense noise contamination,and amplitude imbalance.Under such conditions,conventional least-squares FWI often becomes unstable and is prone to cycle-skipping.To ad-dress these challenges in land seismic data,we propose a Phase-Driven Full Waveform Inversion(PDFWI)framework that enhances the robustness of land FWI by emphasizing phase and kinematic consistency rather than strict amplitude matching.To better represent the characteristics of land seismic acquisition while maintaining computational efficiency,the acoustic forward-modeling scheme is extended to more realistically simulate both dynamite and vibroseis source signatures commonly encountered in land surveys.PDFWI employs an adaptive objective function that prioritizes kinematic updates during the early stages of inversion and progressively incor-porates amplitude information as the observed and modeled waveforms become better aligned.Applications to multiple 3D land seismic datasets from the Tarim Basin demonstrate that PDFWI substantially improves velocity model accuracy,enhances consistency with well-log and VSP constraints,and produces better-focused seismic images.The results indicate that PDFWI provides a robust and practical waveform-based solution for velocity model building and seismic imaging in challenging land seismic settings.