TK400 : Seismic noise attenuation baxsed on combining of statistical approaches and time-frequency transforms
Thesis > Central Library of Shahrood University > Electrical Engineering > MSc > 2015
Authors:
Abstarct: Attenuation of random noise is a major concern in seismic data processing. Such
noise usually characterized by random oscillation in seismic data over entire time and
frequency. We introduced and evaluated a low-rank and sparse decomposition baxsed
method for seismic random noise attenuation.
The proposed method starts by transforming the seismic trace into a new sparse
subspace using a sparse time-frequency representation (TFR). Then the sparse TFR
matrix were decomposed in two parts: (a) a low-rank and (b) a sparse components using
bilateral random projection (BRP).
We can recover the de-noised seismic signal by minimizing mixed 1 2 norms
objective function by considering the intrinsically low-rank property of the seismic data
and sparsity feature of random noise in the sparse TFR domain. Our method was tested
with synthetic and real data. De-noising was carried out by means of two another
methods.
We demonstrate that our proposed method is an effective, amplitude preserving and
robust tool that gives superior results compared to another conventional de-noising
algorithm.
Keywords:
#Seismic data #Random Noise #Sparse time-frequency representation #Synchrosqueezing transform #Low-rank #Matrix decomposition Link
Keeping place: Central Library of Shahrood University
Visitor:
Keeping place: Central Library of Shahrood University
Visitor: