Wavelet basis function optimization and its application in carbonate reservoir fluid detection
The 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.
fluid identification time-frequency analysis(TFA) Wavelet basis function optimization Tarim Basin
Huiqun Xu Zhixian Gui
Key Laboratory of Exploration Technologies for Oil and Gas Resources(Yangtze University),Ministry of Education, WuHan,430100, Hubei, China;School of Geophysics & Oil Resources; Yangtze University; Hubei, Wuhan 430100 China
国际会议
湖北荆州
英文
263-266
2013-05-18（万方平台首次上网日期，不代表论文的发表时间）