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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Bibliografische gegevens

Hoofdauteurs:	Yan Zhang, Zixin Wei, Yongxue Zhang, Hongli Dong, Jingzhe Wang, Linjun Zhang, Liwei Song
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Springer 2025-11-01
Reeks:	International Journal of Computational Intelligence Systems
Onderwerpen:	Full waveform inversion Gradient calculation Microseismic source location Recurrent neural networks Source spatial component
Online toegang:	https://doi.org/10.1007/s44196-025-01029-6
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