Abstract:We first describe the basic principle of spectrum decomposition,then introduce three-parameter wavelet,study the influence of each parameter on wavelet.After that we conduct time-frequency analysis with three parameters based on forward modeling.Finally we perform reservoir characterization with three-parameter wavelet.It is found that subtle geological information can be highlighted.The following understanding are obtained based on model and real data tests:①The three-parameter wavelet has high flexibility,the modulation frequency σ of the wavelet affects the vibration degree of the wavelet,the energy attenuation parameter τ controls attenuation speed of attenuation function.When the value of τ is relatively big,the σ has less influence on the wavelet.The influence of the energy lag parameter β on the wavelet shape is more complex.When β is an integer multiple of trigonometric function period,only wavelet time shift occurs,it can be used to match the zero phase wavelet; when the β is not an integer multiple of trigonometric function period,wavelet time shift and deformation are generated,it can be used to match the non-zero phase wavelet.Deeply buried channels may be misinterpreted when β is not equal to zero; ②Compared with Morlet wavelet,three-parameter wavelet can more precisely depict subtle sedimentary structures in thin interbeds;③In real data processing,the optimal parameter combinations can be obtained according to the correlation of various forms of basic wavelets with real wavelet extracted from targets.
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