Wavelet Basis Function Optimization and its Application in Carbonate Reservoir Fluid Detection

Hui Qun Xu; Zhi Xian Gui

doi:10.4028/www.scientific.net/AMM.318.263

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 318Wavelet Basis Function Optimization and its...

Wavelet Basis Function Optimization and its Application in Carbonate Reservoir Fluid Detection

Abstract:

he purpose of this paper was to perform optimize the best wavelet basis function and TFA (Time frequency analysis) techniques on a target, in order to provide high-resolution instant spectrum data to help in the fluid detection. Wavelet transform is an effective tool to calculate the frequency. And spectral decomposition technique can depict the frequency characters of seismic reflection that are caused by fluid. In order to optimize the best wavelet basis function, different wavelet basis was tested on a sin model to determine the optimum parameters on the noised-sinusoidal model. Several wavelet bases were tested for the frequency recognition capability on the model, and then the optimum wavelet base function was used in the subset of the seismic data. The optimal wavelet basis was selected to test in the subset of the seismic data, strong amplitude anomaly showed. And so may be use the well-log interpretation result to guarantee that the strong amplitude anomaly have effects at the target.

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Periodical:

Applied Mechanics and Materials (Volume 318)

Pages:

263-266

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.318.263

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Online since:

May 2013

Authors:

Hui Qun Xu, Zhi Xian Gui

Keywords:

Fluid Identification, Tarim Basin, Time-Frequency Analysis (TFA), Wavelet Basis Function Optimization

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