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The Application of an Improved Deconvolution Method Based on Mixed-Previous HitPhaseNext Hit Wavelet Estimation for Thick Reservoir Connectivity Analysis


Due to the low resolution and effective signal-noise ratio of the Previous HitseismicNext Hit data, the Previous HitseismicNext Hit reflection of the thick reservoir is weak or unsolvable on the Previous HitseismicNext Hit profile. There are two main reasons for this phenomenon: on the one hand, the thick reservoirs are not identified very well based on conventional Previous HitseismicNext Hit data with 90 ° Previous HitphaseNext Hit shift. On the other hand is because of the influence of incorrect Previous HitphaseNext Hit and amplitude information of wavelet. Thus the connectivity between wells of the thick sandbody is in contradiction with the dynamic results of the reservoir.

Extracting accurate wavelet from Previous HitseismicNext Hit records is one of the classic research topics of Previous HitseismicNext Hit digital processing. In this paper, based on the systematic analysis and summarization of the conventional mixed-Previous HitphaseNext Hit wavelet extraction methods, the improved mixed-Previous HitphaseNext Hit wavelet deconvolution technique in complex cepstrum domain for the thick reservoir connectivity analysis is presented.

This method uses the multi-trace statistical autocorrelation method to obtain the amplitude spectrum of the known wavelet, and then obtains a series of mixed-Previous HitphaseNext Hit wavelets in the complex cepstrum domain. At the same time, according to the signal-noise ratio of Previous HitseismicNext Hit record, the desired output Previous HitseismicNext Hit wavelet is established. The ideal mixed-Previous HitphaseNext Hit wavelet is determined by the deconvolution of the Previous HitseismicNext Hit variance norm and resolution. With the deterministic wavelet deconvolution it can improve the Previous HitseismicNext Hit effective signal. This technique eliminates the assumption of the minimum Previous HitphaseNext Hit and has a significant effect in improving the Previous HitseismicNext Hit resolution.

Compared with the original Previous HitseismicNext Hit amplitude spectrum, the reflection energy of the processed Previous HitseismicNext Hit data is more balanced, and low-frequency components have a greater improvement. The internal energy of thick reservoir is strengthened, which greatly improves the degree of well-Previous HitseismicNext Hit matching of the thick reservoir in an oilfield in Bohai Bay. At the same time, the phenomenon of "no reflection on wells, weak energy between wells" appears on the Previous HitseismicTop profile has also been significantly improved. Furthermore, the contradictions between dynamic and static data can be effectively resolved. The connectivity between wells by the newly processed data is closer to the tracer test results, which make a good explanation of the dynamic and static contradictions between development wells, and further demonstrated the reliability of the technology.