Dynamic warping of seismic images

نویسندگان

  • Dave Hale
  • Luming Liang
چکیده

The problem of estimating relative time (or depth) shifts between two seismic images is ubiquitous in seismic data processing. This problem is especially difficult where shifts are large and vary rapidly with time and space, and where images are contaminated with noise. I propose a solution to this problem that is a simple extension of the classic dynamic time warping algorithm for speech recognition. This new dynamic image warping method for estimating shifts is more accurate than methods based on crosscorrelation of windowed images where shifts vary significantly within the windows.

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تاریخ انتشار 2012