Oil & Gas Geology ›› 2012, Vol. 33 ›› Issue (1): 135-140.doi: 10.11743/ogg20120117

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Application conditions of seismic waveform classification technique and its use in the study of sedimentary microfacies of Pubei area

Jiang Qingchun1, Wang Hai2, Li Dan3, Cao Feng1, Li Qiufen1, Sun Zuoxing1, Zhou Hui1   

  1. 1. PetroChina Research Institute of Petroleum Exploration and Development, Beijing 102249, China;
    2. Exploration & Development Project Manager Department, PetroChina Tarim Oilfield Company, Korla, Xinjiang 841000, China;
    3. Survey and Design Research Institute, SINOPEC Henan Oilfield Company, Nanyang, Henan 473132, China
  • Received:2011-08-03 Revised:2012-01-06 Online:2012-02-28 Published:2012-03-22

Abstract:

During analyzing the seismic facies of Qiketai(Qkt) Formation in Pubei(Pb) area with Stratimagic software,we compared the application conditions of waveform classification technique.Seismic data with a frequence greater than 40 Hz and a signal-to-noise ratio greater than 25 DB are suitable for seismic waveform classification.The effect of waveform analysis is good in area with gentle structural attitude and under-developed fractures.Furthermore,the selection of suitable seismic time window and the setting of proper waveform classification number also affect the application effect of waveform classification technique.Generally,a waveform classification number of five to eight is reasonable,which match well with the sedimentary microfacies types.This technique is used to map the sedimentary microfacies of Qkt Group.Comparison with single well sedimentary microfacies identification shows that the coincidence rate is more than 86%,verifying the reliability of sedimentary microfacies prediction by using seismic waveform classification technique.Finally,this paper presents the sandstone distribution predicted by using this technique which can be used to guide future exploration of subtle reservoirs in the area.

Key words: seismic facies, single well facies, sedimentary microfacies, waveform classification technique, sand body prediction, Pb area

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