Seismic Data Conditioning

Seismic Data Conditioning is a preprocessing methodology in seismic data processing that enhances the quality and interpretability of raw seismic signals through noise attenuation, amplitude correction, and phase stabilization to prepare them for subsequent reservoir characterization.

50

Publications

1.4K

Citations

151

Authors

87

Institutions

Publications per year

2017–2026

19

Authors

151

  1. DG
    Darío Graña

    University of Wyoming, United States

    5 publications · 186 citations

    5

    h-index

  2. KJ
    Kurt J. Marfurt

    University of Oklahoma, United States

    3 publications · 73 citations

    3

    h-index

  3. BZ
    Bo Zhang

    Geological Survey of Alabama, United States

    2 publications · 58 citations

    2

    h-index

  4. HO
    Henning Omre

    Norwegian University of Science and Technology, Norway

    2 publications · 59 citations

    2

    h-index

  5. TL
    Tengfei Lin

    China University of Petroleum, East China, China

    2 publications · 58 citations

    2

    h-index

1–5 of 151

Venues

  1. Geophysics

    10 publications · 290 citations

    10

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  2. Interpretation

    4 publications · 96 citations

    4

    h-index

  3. 3

    h-index

  4. Geophysical Prospecting

    2 publications · 82 citations

    2

    h-index

  5. First Break

    2 publications · 66 citations

    2

    h-index

1–5