›› 2013, Vol. 34 ›› Issue (2): 1-1.

   

Using Spectral Decomposition Technology and Seismic Peak Attribute Analysis for Prediction of Thin Sandstone Reservoir

XIONG Ran, ZHAO Jilong, HOU Gangfu   

  1. (Hangzhou Research Institute of Geology, PetroChina, Hangzhou, Zhejiang 310023)
  • Online:2019-01-01 Published:1905-07-10

Abstract: This paper presents the theory and method for spectral decomposition, analyzes thin sandstone reservoir with forward modeling and then generalizes the seismic reflection features of the reservoirs in different sand thickness. The reservoir lithology and physical property studies are based on the drilling cores, logging curves and seismic attributes, establishing the empirical formulae for prediction of the thin sandstone reservoirs by seismic attribute optimizing selection, statistics and regression in time domain and spectral decomposition in frequency domain. It is recognized that there are two advantageous zones with thin sandstone reservoirs in studied area. The applied results show that such a method is more effective for recognition of thin sandstone reservoirs

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