Three-Component Microseismic Data Denoising Based on Re-Constrain Variational Mode Decomposition
Microseismic monitoring is an important technology used to evaluate hydraulic fracturing, and denoising is a crucial processing step. Analyses of the characteristics of acquired three-component microseismic data have indicated that the vertical component has a higher signal-to-noise ratio (SNR) than...
Guardado en:
Autores principales: | Zhili Chen, Peng Wang, Zhixian Gui, Qinghui Mao |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/4afb998a4faa4406b8d5e50ec3ecf521 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Review on Early Warning Methods for Rockbursts in Tunnel Engineering Based on Microseismic Monitoring
por: Shichao Zhang, et al.
Publicado: (2021) -
Optimization Constrained of the Lifetime of the CBN 7050 during the Machining of Steel 100Cr6
por: Slimane Benchiheub, et al.
Publicado: (2009) -
An Improved Phase Unwrapping Method Based on Hierarchical Networking and Constrained Adjustment
por: Wenxiang Mao, et al.
Publicado: (2021) -
Machine Learning Based Identification of Microseismic Signals Using Characteristic Parameters
por: Kang Peng, et al.
Publicado: (2021) -
Hybrid inner-outer algorithm for solving real-world mechanical optimization problems
por: Omnia Osman Fadel Abouhabaga, et al.
Publicado: (2021)