Title
Flattening the Seismic Data for Optimal Noise Attenuation
Abstract
The seismic energy is the most correlative along the structural direction, and thus, many traditional filtering methods can be optimally performed in a flattened gather. We introduce in detail a flattening operator for creating the flattened dimension, where a denoising operator can be applied subsequently. The flattening operator is created by deriving a plane-wave trace continuation relation following the plane-wave equation. We demonstrate that the plane-wave trace continuation can well preserve the strong amplitude variation existing in the seismic data. In order to obtain a reliable slope estimation in the presence of noise, a robust slope estimation approach is introduced to substitute the traditional method. The flattening operator can be combined with many state-of-the-art filtering methods to obtain superior performance. Both synthetic and field seismic data are used to demonstrate the potential of the proposed framework in realistic applications.
Year
DOI
Venue
2019
10.1109/LGRS.2018.2874108
IEEE Geoscience and Remote Sensing Letters
Keywords
Field
DocType
Estimation,Transforms,Noise reduction,Noise measurement,Attenuation,Filtering algorithms,Oils
Noise reduction,Computer vision,Flattening,Noise measurement,Continuation,Filter (signal processing),Artificial intelligence,Operator (computer programming),Attenuation,Acoustics,Amplitude,Mathematics
Journal
Volume
Issue
ISSN
16
3
1545-598X
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Yatong Zhou1285.72
Jingfei He212.04