A 1D time-varying median filter for seismic random, spike-like noise elimination
Y Liu, C Liu, D Wang - Geophysics, 2009 - library.seg.org
Random noise in seismic data affects the signal-to-noise ratio, obscures details, and
complicates identification of useful information. We have developed a new method for …
complicates identification of useful information. We have developed a new method for …
Signal and noise separation in prestack seismic data using velocity-dependent seislet transform
Y Liu, S Fomel, C Liu - Geophysics, 2015 - library.seg.org
The seislet transform is a waveletlike transform that analyzes seismic data by following
varying slopes of seismic events across different scales and provides a multiscale …
varying slopes of seismic events across different scales and provides a multiscale …
Erratic noise suppression using iterative structure‐oriented space‐varying median filtering with sparsity constraint
Erratic noise often has high amplitudes and a non‐Gaussian distribution. Least‐squares–
based approaches therefore are not optimal. This can be handled better with non–least …
based approaches therefore are not optimal. This can be handled better with non–least …
Seismic noise attenuation using nonstationary polynomial fitting
GC Liu, XH Chen, JY Li, J Du, JW Song - Applied Geophysics, 2011 - Springer
We propose a novel method for seismic noise attenuation by applying nonstationary
polynomial fitting (NPF), which can estimate coherent components with amplitude variation …
polynomial fitting (NPF), which can estimate coherent components with amplitude variation …
Erratic and random noise attenuation using adaptive local orthogonalization
The local orthogonalization (LO) approach has been broadly applied to attenuate random
noise and deal with the signal-leakage problem induced using the traditional denoising …
noise and deal with the signal-leakage problem induced using the traditional denoising …
Adaptive prediction filtering in txy domain for random noise attenuation using regularized nonstationary autoregression
Y Liu, N Liu, C Liu - Geophysics, 2015 - library.seg.org
Many natural phenomena, including geologic events and geophysical data, are
fundamentally nonstationary. They may exhibit stationarity on a short timescale but …
fundamentally nonstationary. They may exhibit stationarity on a short timescale but …
[PDF][PDF] 基于地震波振幅分辨塔河油田溶洞最小高度的理论探讨
漆立新, 顾汉明, 李宗杰, 鲁新便 - 地球物理学进展, 2008 - dsjyj.com.cn
摘要塔河油田奥陶系灰岩溶洞反射特征表现为“串珠状” 强振幅短同相轴反射结构,
但该串珠状反射的地震属性在空间展布的视体积与其对应的实际体积差异很大, 因此 …
但该串珠状反射的地震属性在空间展布的视体积与其对应的实际体积差异很大, 因此 …
3D seismic data de-noising and reconstruction using multichannel time slice singular spectrum analysis
Noises and data gaps complicate the seismic data processing and subsequently cause
difficulties in the geological interpretation. We discuss a recent development and application …
difficulties in the geological interpretation. We discuss a recent development and application …
[PDF][PDF] 地震信号瞬时频率的估算
陈林, 宋海斌 - 地球物理学报, 2009 - researchgate.net
摘要本文比较了四类计算瞬时频率的方法. 基于相位差分的方法对噪声敏感;
基于零交叉点的方法是针对周期信号提出的, 对非周期信号效果不理想, 通过插值改善估算结果; …
基于零交叉点的方法是针对周期信号提出的, 对非周期信号效果不理想, 通过插值改善估算结果; …
[PDF][PDF] A short note on the application of Singular Spectrum Analysis for Geophysical Data processing
R Rekapalli, RK Tiwari - J. Ind. Geophys. Union, 2015 - academia.edu
ABSTRACT Singular Spectrum Analysis (SSA) is a popular time series analysis tool.
Numerous studies have proven its efficacy in processing the data contaminated with various …
Numerous studies have proven its efficacy in processing the data contaminated with various …