Seismic Data Filtering

Seismic Data Filtering is a signal processing technique that selectively modifies or enhances seismic data by attenuating unwanted noise or frequencies while preserving relevant geological information, thereby improving the signal-to-noise ratio and resolution of subsurface features.

429

Publications

20.8K

Citations

875

Authors

332

Institutions

Publications per year

2017–2026

82

Authors

875

  1. YC
    Yangkang Chen

    China University of Petroleum, Beijing, China

    18 publications · 1.3K citations

    16

    h-index

  2. KJ
    Kurt J. Marfurt

    University of Oklahoma, United States

    15 publications · 440 citations

    12

    h-index

  3. YW
    Yanghua Wang

    Imperial College London, United Kingdom

    12 publications · 1.1K citations

    11

    h-index

  4. SF
    Sergey Fomel

    The University of Texas at Austin, United States

    10 publications · 1.7K citations

    10

    h-index

  5. MJ
    Milton J. Porsani

    Universidade Federal da Bahia, Brazil

    7 publications · 191 citations

    7

    h-index

1–5 of 875

Venues

  1. Geophysics

    126 publications · 8.4K citations

    49

    h-index

  2. Geophysical Journal International

    GJI · 25 publications · 1.3K citations

    22

    h-index

  3. Geophysical Prospecting

    32 publications · 1.1K citations

    21

    h-index

  4. Journal of Geophysics and Engineering

    11 publications · 312 citations

    10

    h-index

  5. 10

    h-index

1–5