Microseismic Signal Processing

Microseismic Signal Processing is a specialized branch of geophysical signal processing that focuses on the detection, analysis, and interpretation of weak seismic signals generated by small-scale subsurface mechanical events, distinguished by its application to monitoring microseismic phenomena such as those induced by hydraulic fracturing, fault movements, or reservoir changes.

527

Publications

21.8K

Citations

1.5K

Authors

480

Institutions

Publications per year

2017–2026

250

Authors

1.5K

  1. YC
    Yangkang Chen

    China University of Petroleum, Beijing, China

    13 publications · 996 citations

    13

    h-index

  2. LE
    Leo Eisner

    Czech Academy of Sciences, Institute of Rock Structure and Mechanics, Czechia

    14 publications · 801 citations

    11

    h-index

  3. EW
    Enyuan Wang

    China University of Mining and Technology, China

    10 publications · 866 citations

    10

    h-index

  4. XL
    Xuelong Li

    Chongqing University, China

    9 publications · 798 citations

    9

    h-index

  5. AA
    A. A. Lyubushin

    Schmidt Institute of Physics of the Earth, Russia

    9 publications · 281 citations

    9

    h-index

1–5 of 1.5K

Venues

  1. Geophysics

    30 publications · 1.9K citations

    23

    h-index

  2. Geophysical Journal International

    GJI · 30 publications · 1.4K citations

    23

    h-index

  3. Journal of Applied Geophysics

    23 publications · 864 citations

    17

    h-index

  4. Rock Mechanics and Rock Engineering

    15 publications · 1.1K citations

    15

    h-index

  5. Geophysical Prospecting

    15 publications · 542 citations

    13

    h-index

1–5