Adaptive Multitrace Seismic Deconvolution via Structural L1-2 Minimization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2024.3413686
Abstract: Deconvolution technology, as an effective means to enhance the resolution of seismic data, has emerged as a prominent research area in the field of seismic exploration. However, due to its inherent ill-posed nature, seismic deconvolution… read more here.
Keywords: seismic deconvolution; spatial continuity; deconvolution; adaptive multitrace ... See more keywords
A Deep-Learning-Based Generalized Convolutional Model For Seismic Data and Its Application in Seismic Deconvolution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3076991
Abstract: The convolutional model, which describes the relation among poststack seismic data, wavelet, and reflectivity, is the foundation of seismic deconvolution (SD). However, this model is only an approximation of the seismic wave equation, and it… read more here.
Keywords: convolutional model; deep learning; model; seismic deconvolution ... See more keywords