Technique Research On The Enhanced Resolution Of The Cross-well Seismic Wave Field

Cross Well Seismic uses the excitation system and receiving system that is suitable to the underground environment,and the information obtained is influenced by the noise to a relatively small extent, and the energy absorption and attenuation impact by the stratum layer is small. Cross Well Seismic signal frequency is usually several times of the surface seismic or more, can reach hundreds of Hertz. Therefore, we can do the Cross Well Seismic data processing without deconvolution. However, if there is a sufficiently high signal to noise ratio of seismic profiles, using deconvolution methods can achieve higher resolution.Deconvolution result of good or bad is closely related to the methods and assumptions that are used. Usually, we all on the assumption that the phase of seismic wavelet is the smallest, while, in practical seismic exploration, the wavelet excitated by the seismic source are generally mixed-phase under the earth filtering effects, and then problem occurs when use minimum phase wavelet as the basis for seeking a deconvolution operator and the application of deconvolution, and the results of the deconvolution may be different, even lead to wrong conclusions.According to the characteristics of deconvolution method, and characteristics of seismic data, the author have done some research on the Cross Well Seismic data deconvolution, at the same time, the author have make some corresponding programming, and do some calculation with model data and real data respectively, which have get good results, while the multi-channel wavelet deconvolution and the zero-phase deconvolution are more adaptable than others. Be noted that, as the seismic data on hand has a relatively low signal to noise ratio, there is a gap between the processing results and the expected results.This paper has five parts. The first part introduces the purpose and meaning of the research paper, then introduced the main contents of this paper and the research results. The second part introduces the basic theory of deconvolution, which contains the basic theory of signal processing, seismic wavelet, and convolution model of seismic records. The third section introduces the paper used deconvolution techniques, including multi-channel deconvolution, and wavelet deconvolution, in which contains the multi-channel seismic wavelet extraction of statistical Hilbert, Optimum Wiener filter and multi-channel wavelet statistics deconvolution. This section finally introduces the wavelet shaping, including zero-phase deconvolution and matched filtering. Part four and part five are the most important parts of the essay, in which the author introduces the programming, and the results of the model data and actual data measured in the programming. Part four and part five are the most important parts of the essay, in which the author introduces the programming and the programming implementation, and the results of the model data and actual data measured in the programming, which verify the effectiveness and practicality of the method.