High resolution pre-stack seismic inversion using few-shot learning

High resolution pre-stack seismic inversion using few-shot learning

We propose to use a Few-Shot Learning (FSL) method for the pre-stack seismic inversion problem in obtaining a high resolution reservoir model from recorded seismic data. Recently, artificial neural network (ANN) demonstrates great advantages for seismic inversion because of its powerful feature extr...

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Bibliographic Details
Main Authors: Ting Chen, Yaojun Wang, Hanpeng Cai, Gang Yu, Guangmin Hu
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2022-12-01
Series:Artificial Intelligence in Geosciences
Subjects:
Few-shot learning
Artificial neural network
Seismic inversion
Online Access:http://www.sciencedirect.com/science/article/pii/S2666544122000375

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http://www.sciencedirect.com/science/article/pii/S2666544122000375

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