Seismic interference noise attenuation using DNN

    公开(公告)号:US12085686B2

    公开(公告)日:2024-09-10

    申请号:US17750467

    申请日:2022-05-23

    Inventor: Song Hou Jing Sun

    CPC classification number: G01V1/364 G01V1/282 G06F30/27 G01V2210/324

    Abstract: Seismic exploration methods and data processing apparatuses employ a deep neural network to remove seismic interference (SI) noise. Training data is generated by combining an SI model extracted using a conventional model from a subset of the seismic data, with SI free shots and simulated random noise. The trained DNN is used to process the entire seismic data thereby generating an image of subsurface formation for detecting presence and/or location of sought-after natural resources.

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