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Adaptive Multiple Subtraction Based on an Accelerating Iterative Curvelet Thresholding Method.

Bowu Jiang, Wenkai Lu

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |November 23, 2020
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    Summary
    This summary is machine-generated.

    This study introduces a faster adaptive multiple subtraction method for seismic exploration. The new technique improves the accuracy of seismic imaging by efficiently removing unwanted multiples without distorting primary signals.

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    Area of Science:

    • Geophysics
    • Seismic Exploration
    • Signal Processing

    Background:

    • Seismic data contain primary reflections (useful for imaging) and multiples (interfering signals).
    • Surface-related multiple elimination (SRME) is crucial for accurate subsurface imaging.
    • Adaptive multiple subtraction (AMS) is key to SRME, but traditional methods like iterative curvelet thresholding (ICT) are computationally intensive.

    Purpose of the Study:

    • To develop a computationally efficient and effective adaptive multiple subtraction method for seismic data.
    • To improve the accuracy and reduce the computational burden of surface-related multiple elimination.
    • To enhance signal-to-noise ratio (SNR) in seismic data processing.

    Main Methods:

    • Proposed an accelerated iterative curvelet thresholding (ICT) method by directly utilizing the signal misfit in the curvelet domain.
    • Implemented a single forward/inverse curvelet transform pair per iteration, reducing computational cost compared to traditional ICT.
    • Introduced joint constraints across different frequency bands to stabilize and enhance multiple attenuation, addressing frequency-dependent errors.

    Main Results:

    • The proposed accelerated ICT method significantly reduces computational cost compared to traditional ICT.
    • Demonstrated superior performance in both synthetic and field seismic data examples.
    • Achieved a signal-to-noise ratio (SNR) improvement of 0.5-2.8 dB when refining results from other AMS methods.

    Conclusions:

    • The accelerated ICT method offers a faster and more efficient approach to adaptive multiple subtraction in seismic exploration.
    • The frequency-band constrained approach enhances the stability and effectiveness of multiple attenuation.
    • This method is a valuable tool for improving seismic data quality and subsurface imaging accuracy.