Microseismic Source Location Based on Full Waveform Inversion-Driven Neural Network

Abstract Accurate localization of microseismic sources is essential in fields such as oil and gas extraction and underground energy storage. Current seismic source localization methods based on full waveform inversion exhibit a high degree of nonlinearity and involve complex gradient calculations fo...

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Bibliografiske detaljer

Principais autores:	Yan Zhang, Zixin Wei, Yongxue Zhang, Hongli Dong, Jingzhe Wang, Linjun Zhang, Liwei Song
Format:	Artigo
Sprog:	Inglês
Udgivet:	Springer 2025-11-01
Serier:	International Journal of Computational Intelligence Systems
Fag:	Full waveform inversion Gradient calculation Microseismic source location Recurrent neural networks Source spatial component
Online adgang:	https://doi.org/10.1007/s44196-025-01029-6
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