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Related Experiment Video

Updated: Mar 29, 2026

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
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Selective Trace Mix: A New Processing Tool to Enhance Seismic Imaging of Complex Subsurface Structures.

Mohamed Rashed1,2, Nassir Al-Amri1,3, Riyadh Halawani1,3

  • 1Water Research Center, King Abdulaziz University, Jeddah 80200, Saudi Arabia.

Journal of Imaging
|March 27, 2026
PubMed
Summary

A new selective trace mix filter improves seismic imaging by enhancing data clarity and preserving complex subsurface structures like faults and folds. This data-dependent method offers superior results compared to conventional filters.

Keywords:
coherencefaultfoldimagingprocessing

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Area of Science:

  • Geophysics
  • Seismic Imaging

Background:

  • Trace mixing in seismic data enhances signal-to-noise ratio but struggles with complex subsurface structures.
  • Conventional filters often introduce artifacts, obscuring important geological features like faults and folds.

Purpose of the Study:

  • Introduce a novel, data-dependent selective trace mix filter.
  • Improve seismic data interpretability by enhancing reflections and preserving structural clarity.

Main Methods:

  • Developed a selective trace mix filter employing sequential evaluation, referencing, exclusion, weighting, and normalization.
  • The filter is temporally and spatially variable, adapting to data characteristics.

Main Results:

  • The selective trace mix filter demonstrated enhanced amplitude consistency and spatial coherence.
  • Preserved complex structures and improved fault and horizon clarity on synthetic and real seismic data.

Conclusions:

  • Selective trace mix significantly outperforms conventional filters in maintaining horizon integrity and fault definition.
  • This novel filter is effective for seismic imaging in areas with complex geology.