When seismic data is of low signal-to-noise ratio (SNR), more traces shall be involved to improve robustness against noise, and thus a larger analysis window shall be used. However, this will lead to increased time cost and blurred coherence images. In this paper, we propose a modified eigenstructure-based coherence (C3m) algorithm based on inverse distance weighting method and dimensionality reduction of the covariance matrix for eigendecomposition in the case of a large analysis window size exceeding 3 by 3 (9 traces). In the case of large analysis windows, the time cost by C3m is at least 30% less than C3 via synthetic data and field data studies, and the coherence results calculated with C3m are clearer than those calculated with C3. The new method may be an efficient alternative to C3 for coherence computation.


Article metrics loading...

Loading full text...

Full text loading...


  1. AminzadehF., BurehardN., KunzT., NicoletisL., and RoccaF.
    [1995] 3-D modeling project: 3rd report. The Leading Edge, 14, 125–128.
    [Google Scholar]
  2. Gersztenkorn, A., and Marfurt, K. J.
    [1999] Eigenstructure-based coherence computation as an aid to 3-D structural and stratigraphic mapping. Geophysics, 64, 1468–1479.
    [Google Scholar]
  3. YuanS., SuY., WangT., WangJ., and WangS.
    [2019] Geosteering phase attributes: A new detector for the discontinuities of seismic images. IEEE Geoscience and Remote Sensing Letters, 16, 145–149.
    [Google Scholar]

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error