Nonstationary Wavelet Deconvolution Research And Application

With China's seismic exploration in the development of industry, high resolution seismic exploration will be an important research topic of oil and gas exploration in the future. The deconvolution processing seismic data to improve the resolution of seismic exploration is one of the important ways. At present, the methods of seismic deconvolution are based on traditional deconvolution model, But in fact seismic wavelet propagation in subsurface is nonstationary wavelet. Textual experiments single track traditional deconvolution and nonstational wavelet deconvolution, both explains the deconvolution in seismic data processing that wavelet correctness is the key to the seismic deconvolution processing. Because of wavelet limit traditional deconvolution can't very well improve seismic resolution. For the question, put forward a method extraction nonstational wavelet from seismic profile, and use nonstational wavelet realize deconvolution processing.Based on the seismic convolution model and general deconvolution processing method theory. Through the research conventional wavelet extraction method, put forward the extract nonstational seismic method from seismic profile: first supposing the reflectance has characteristic of white noise, choose any hour window seismic section, by using the average several seismic amplitude spectrum cross-correlation smooth get wavelet amplitude, and by using several-corridors phase spectral average to get wavelet phase spectrum, thus calculated the window's wavelet, and the wavelet is only sure. The method of nonstational wavelet extraction can effectively extract any phase of the siesmic wavelet. Through conventional wavelet deconvolution processing theory model and nonstational deconvolution compare, nonstational wavelet deconvolution improve the resolution of seismic records.This text based on the success study of nonstational wavelet deconvolution processing theory model, applied this method to practical seismic profile, the results indicate that this method obviously improve the resolution of seismic records. But we have to make some assumptions, not always meet the actual situation in fact, and while the deconvolution method improve seismic resolution may also cause SNR reduce problem, still not solved, this is where the future research improvement.