The Huizhou 21 sag of the Pearl River Mouth Basin is known for its complex underground structures and faults.Due to outdated seismic acquisition and processing techniques,there are issues with unclear fault imaging,unconfirmed faulting points,and blurry imaging of the fault's downthrown side.These issues greatly impact the accurate determination of trap morphology,struc-tural highs,and amplitude of structural traps.To address these issues,deep processing techniques for seismic signals in the frac-tured zones are investigated.Seismic signals are processed finely to maximize the potential of seismic data collected by conventional towed acquisition technique.In this way,the low-to medium-frequency signals and effective seismic reflections within a large inci-dence angle range that can effectively improve the imaging results for complex fault zones are obtained to improve the signal-to-noise ratio of seismic data in the fractured zones.Meanwhile,high-fidelity seismic signals are utilized for high-precision prestack depth migration velocity modeling constrained by data and geological models.For complex fault zones,large-shot seismic data and low-to medium-frequency effective signals are efficiently utilized,and high-precision grid tomography velocity modeling driven by dominant signals is conducted to greatly improve the velocity picking accuracy.Moreover,the velocity model is effectively con-strained with geological models,and coupling with the correlation between imaging effects and velocity models,the final imaging velocity model is determined.This imaging approach significantly improves the structural imaging effect of the complex fault zone in the Huizhou 21 sag.It has been successfully applied in exploration research in the Huizhou 21 sag by reducing the impact of un-confirmed faults on the evaluation of structural traps and improving the accuracy of structural trap identification,thereby driving the exploration research in this area.
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