Seismic data sample updating method and system

The embodiment of the invention provides a seismic data sample updating method and system. The method comprises the following steps: acquiring multiple reference seismic data; selecting a target pre-stack effect grading machine learning model and a target post-stack effect grading machine learning m...

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Bibliographische Detailangaben
Hauptverfasser: ZENG TONGSHENG, CUI DONG, SHOU HAO, CAO HONG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The embodiment of the invention provides a seismic data sample updating method and system. The method comprises the following steps: acquiring multiple reference seismic data; selecting a target pre-stack effect grading machine learning model and a target post-stack effect grading machine learning model corresponding to the processing type; taking each output of the target pre-stack effect grading machine learning model as a pre-stack effect grade corresponding to each part of reference seismic data; taking each output of the target post-stack effect grading machine learning model as a post-stack effect grade corresponding to each part of reference seismic data; and selecting target seismic data from the reference seismic data to complete updating of the seismic data sample. According to the method and the system, the accuracy of the seismic data sample can be effectively improved, the updating efficiency, the automation degree and the accuracy of the seismic data sample can be effectively improved, and the a