西南石油大学学报(自然科学版)

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Seismic Inversion of Frequency Divisions Reconstruction and Its Application Thin Interbedded Sand Reservoir Prediction

Zhao Jilong1,2, Xiong Ran2, Chen Ge2, Wang Junpeng2, Liu Lingli2   

  1. 1. Faculty of Earth Resources,China University of Geosciences(Wuhan),Wuhan,Hubei 430074,China
    2. Hangzhou Research Institute of Petroleum Geology,PetroChina,Hangzhou,Zhejiang 310023,China
  • Online:2014-08-01 Published:2014-08-01

Abstract:

In Quele–Yangta Area of Tabei Uplift,the Palaeogene lower sand section is fan-delta front facie and the stratigraphic is sand-shale thin interbedded reservoirs. In this paper,we analyzed the core and logging of thin interbedded reservoirs, discussed the geology significance of the reservoir by different curve frequency division component,and optimized the thin interbedded reservoirs lithology sensitive logging and stratigraphic average velocity sensitive logging. On the basis of curve foreprocessing and normalization,we exteacted the middle frequency component of reservoirs lithology sensitive logging( GR),and the low frequency component of stratigraphic average velocity sensitive logging(DT),with the principle of wavelet frequency division and decomposition. Based on the Statistic method of the statistic regression. Based on the method of the statistic regression,the transformation model with GR–DT curve was established,and this statistical model will converse GR curve to DT curve dimension. According to the technology of wavelet logging frequency division reconstruct,we construct quasi acoustic logging combined with the middle frequencies GR curves information and low frequencies acoustic logging information,which are extracted by wavelet decomposition. Using quasi acoustic logging constraint seismic inversion,the inversion methods can improve seismic resolution and frequency band,and the inversion impedance results predict the thin interbedded reservoir sand is mainly distribute in the north of the research area near Well QL1,and distribute in the east of the research area near Well YT5.

Key words: Quele&ndash, Yangta Area;thin interbedded reservoir;sensitivity analysis;frequency division reconstruction;quasiacoustic
inversion