... the random noise and other coherent noise becomes one crucial step for pre-stack dataset. Some 2D-transform-based noise attenuating methods cannot fully utilize the spatial correlation information in 3D pre-stack volume. In this abstract, we propose to use 3D continuous wavelet transform (CWT) to denoise pre...

... seismic data geophysical prospecting geophysics neural network seismic data noise suppression exploration geophysicist 10 azimuth activation function machine learning noise deep learning applied geoscience ovt domain cwt Deep learning for prestack strong scattered noise suppression Dawei...

... frequency upstream oil & gas colorado school interference cwt exploration geophysicist 10 reservoir characterization multiscale analysis surface wave geophysics correlated data wavelet domain frequency wavelet transform powerline interference seg international exposition vibroseis data...

... synchrosqueezed wavelet transform sswt reservoir cwt sandstone scale annual meeting spectrum sandstone layer data quality tight oil reservoir seismic signal dotted line seg international exposition upstream oil & gas sandstone time-frequency spectrum References References Daubechies...

... upstream oil & gas radon transform rmo noise steeply-dipping noise picking algorithm gather conditioning msirof velocity model complex wavelet transform data quality reflection tomography cwt residual moveout picking algorithm reservoir characterization cig References References...

...-frequency point and picking the one with the maximum projection upon seismic signals under analysis. The chirplet is a generalized wavelet with time-varying frequency and LCT is a subspace of chirplet transform encompassing short time Fourier transform (STFT) and continuous wavelet transform (CWT...

... seg seg international exposition reservoir characterization legacy data seismic data broadband data resolution peak frequency upstream oil & gas geophysics chinook field spectral decomposition annual meeting marfurt data quality frequency cwt coherency interpretation References...

... attenuation diving wave migrated image variation annual meeting wavelet transform noise cwt seg seg international exposition data quality complex wavelet transform zhou yu upstream oil & gas reservoir characterization das data noise attenuation wavelet denoise flow vsp References...

... resolution decomposition data quality stft resolution product cwt inversion fourier transform spectral decomposition upstream oil & gas spectrum quantitative resolution analysis References References Alexander , E. M. , D. I. Grayestock , C. Cubitt...

... and there are many successful examples in literature (e.g., Stein and Langston, 2007). attenuation nmo wavelet transform resolution wavelet deconvolution flow variation deconvolution cwt snr seismic data wavelet deconvolution reservoir characterization upstream oil & gas noise attenuation...

... and therefore less ambiguity for interpretation. cwt expression equation seismic data computation cost reservoir characterization upstream oil & gas wavelet spectral decomposition seismic wavelet interpretation frequency domain seg houston 2013 frequency mathematic wavelet new approach...

... of resolution improvement relative to the Short Time Fourier Transform increases as window length decreases. As compared to the Continuous Wavelet Transform, the method has greatly improved temporal resolution, particularly at low frequencies. algorithm cwt standard deviation decomposition spectral...

... upstream oil & gas complex wavelet transform hydrophone noise orientation amplitude chandan kumar imtiaz ahmed data quality cwt effectiveness geophone Ocean bottom seismic noise attenuation using local attribute matching filter Zhou Yu, Chandan Kumar and Imtiaz Ahmed, BP Inc. Summary...

... fundamental ingredients: (A) local dip-orientation analysis and (B) local attribute analysis, using the 2D complex wavelet transform ( CWT ) to generate the 5D local attribute volume for a 2D input data section. The local structural dip (A) is estimated independently by the semblance-based method...

... ABSTRACT Seismic attributes play an important role in interpretation and reservoir characterization. We use two dimensional wavelet transform (2D CWT) as a tool to extract 2D seismic attributes. Large scale 2D CWT can be used to estimate local dip, while small scale 2D CWT can be used...

... a new approach which allows any kind of wavelet to be used. The resulting algorithm is stable and may be applied to several cases by using each time the more suitable wavelet. The continuous wavelet transform (CWT) is a versatile tool to form a multiscale dataset. Assuming a 2D function where r=(x, y...

... for comparative studies of these techniques to evaluate their utility. In this work, we compare the results of the application of the CWT and MPD algorithms and associated frequency attributes to a complex turbidite model. Our results indicate that better resolution of stratigraphic features is achieved...

... window. time window algorithm polarization phase shift timescale plane jérôme igor mars polarization parameter cwt reservoir characterization separation salt lake city efficient oblique polarization filter chirp jocelyn chanussot oblique polarization filter rotation data quality...