... components often exhibit higher signal-to-noise (S/N) ratio over other components, sometimes because of the seismic data quality and sometimes due to the underlying geologic features including tuning and reflector alignment. Because the phase is different for different spectral components, alignment effects...

... exposition estimation reservoir characterization annual meeting decomposition seismic data spectral decomposition seismic trace mp algorithm annual international meeting wavelet spectral component time slice References References Castagna , J. , S. Sun , and R. Siegfried...

... atom pair library data quality wedge model waveform time slice spectral component algorithm upstream oil & gas decomposition instantaneous envelope References References Castagna , J. , S. Sun , and R. Siegfried , 2003 , Instantaneous spectral analysis...

... different bandpass-filtered versions of the seismic data (what we would call today "spectral components") against red, green and blue (Figure 1). Subsequent developments by Taner et al. (1979) of instantaneous attributes generated initial excitement, but seismic attributes didn’t come into common usage...

... Summary We propose an application of spectral decomposition using regularized non-stationary autoregression (SDRNAR) to random noise attenuation. SDRNAR is a recently proposed signal-analysis method, which aims at decomposing the seismic signal into several spectral components, each of which...

... Summary Spectral decomposition has been well used to study the reservoir characterization of thin beds. While the interpreters have much more interpretation work due to many different single spectral components would be obtained by spectral decomposition. Plotting three spectral components...

... floor turbidite-fan systems, most publications of spectral decomposition have used time-migrated data. Interpreting spectral components and spectral attributes such as peak frequency on depth migrated data requires a slightly different perspective. First, the results are computed as cycles/km...

... hydrocarbon indicator for cavern carbonate reservoirs. And we also discuss its existing conditions. spectral component carbonate reservoir anomaly cavern carbonate reservoir reservoir characterization hydrocarbon detection reservoir thickness hydrocarbon indicator data quality low-frequency...

... SUMMARY Seismic data can be decomposed into nonstationary spectral components with smoothly variable frequencies and smoothly variable amplitudes. To estimate local frequencies, I use a nonstationary version of Prony’s spectral analysis method defined with the help of regularized nonstationary...

...-defining the number of clusters and mapping them against continuous 1D, 2D and 3D colorbars, which the interpreter then visually clusters. We generate SOM clusters based on the wavelet shape, on the spectral component and the GLCM attributes of the Red-Fork formation and correlate the results...

... Summary Spectral decomposition is a powerful analysis technique that provides direct measurement of thin-bed tuning effects. One limitation in using spectral decomposition in volumetric analysis is the shear size of the spectral component volumes that are generated. For this reason, peak...

... contained within the redundant frequency volumes. Common frequency attributes include peak frequency/peak amplitude mapping (Marfurt and Kirlin, 2001) and principal component analysis of spectral components (Guo et al., 2006). Our objective is to compare both the spectral decomposition results generated...

... ABSTRACT Spectral decomposition methods help illuminate lateral changes in porosity and thin bed thickness. Typically, an interpreter may generate 80 or more spectral components spanning the useable seismic bandwidth at 1 Hz intervals. However, most of these images contain redundant...

... image is that the peak frequency can indicate the thin bed thickness variations, while coherence can detect the discontinuities. The composite plot of phase at peak frequency can also show discontinuities. While several workers have co-rendered three spectral components by plotting the against Red...

... ABSTRACT No preview is available for this paper. wavefront classification artificial intelligence elastic model novel approach traveltime curve synthetic reflection spectra hypothesis upstream oil & gas reservoir characterization reflection spectra spectral component...

... vector frequency-domain formulation inversion discrete time model inversion result seismic wavelet spectral component operator A Frequency-DomaiFnormulationof LinearizedInversionProblems A. .I Berkhout and C. I? A. Wapenaar,Delft University of Technology,Netherlands S 18.4 SUMMARY I...