1887

Abstract

Summary

Mathematical morphological filtering (MMF) is a powerful tool for image processing based on the shape of the structure element (SE). It was introduced into seismic data processing to suppress noise and enhance signal quality. We explain the basic mathematic morphology concepts with set theory and define the basic and advanced morphological operations in seismic data processing. Unlike conventional seismic filtering techniques, MMF is a nonlinear operator so that it can more effectively isolate and attenuate seismic noise based on their shape differences from the signal. We apply different types of morphological filter on field (and various stages of processed) data to demonstrate their effectiveness for suppression of both coherent and incoherent noise and results in an improvement of signal to noise ratio.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201900849
2019-06-03
2024-03-28
Loading full text...

Full text loading...

References

  1. Li, H., Wang, R., Cao, S., Chen, Y. and Huang, W.
    [2016] A method for low-frequency noise suppression based on mathematical morphology in microseismic monitoring. Geophysics, 81, 159–167.
    [Google Scholar]
  2. Liu, Z., Wang, B., Langhammer, J., Specht, J., Egger, C. & Zhai, Y.
    [2015] A Case Study of Simultaneous Data Separation with Enhanced Adaptive Subtraction Method: Offshore West of Shetland, 77th EAGE Conference & Exhibition, Extended Abstracts, N101–07.
    [Google Scholar]
  3. Huang, W. and Wang, R.
    [2018] Random noise attenuation by planar mathematical morphological filtering, Geophysics, 83, 11–25.
    [Google Scholar]
  4. Wang, R.
    [2005] Noise-eliminated method by morphologic filtering in seismic data processing. Oil Geophysical Prospecting, 40(3), 277.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201900849
Loading
/content/papers/10.3997/2214-4609.201900849
Loading

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