Xinjiang Petroleum Geology ›› 2020, Vol. 41 ›› Issue (2): 164-171.doi: 10.7657/XJPG20200205

• OIL AND GAS EXPLORATION • Previous Articles     Next Articles

Prediction of Reef Reservoir in Changxing Formation of Damaoping Area, Eastern Sichuan Basin

DING Chuanqi1a, ZHOU Lu1a, ZHONG Kexiu2, WU Yong1a,1b, ZHONG Feiyan1a,1c, LIU Yi3   

  1. 1. Southwest Petroleum Universiy, a.School of Geosciences and Technology; b.Sichuan Key Laboratory of Natural Gas Geology; c.School of Electrical Engineering and Information, Chengdu, Sichuan 610500, China
    2. Chongqing Gas Field, Southwest Oil and Gasfield Company, PetroChina, Chongqing 400042, China
    3. Sichuan Institute of Geological Engineering Investigation Group Co., Ltd, Chengdu, Sichuan 610032, China
  • Received:2019-11-01 Revised:2020-01-02 Online:2020-04-01 Published:2020-04-07

Abstract:

The reefs of the Upper Permian Changxing formation in the Damaoping area of the eastern Sichuan basin are distributed in the shape of ring and strip. Individual reefs are characterized by small scale, deep burial depth, multiple periods of vertical superimposition and strong heterogeneity, leading to difficulties in reef prediction. Regarding the characteristics of weak amplitude of in-phase axis, blank and disordered reflections within the reef reservoir, and based on the logging-seismic calibration and forward models to establish seismic response characteristics of the reef, clustering analysis is performed to fuse multiple seismic attributes which are sensitive to reef, and the reef distribution is predicted. Constrained by isochronal seismic amplitude slice through reefs, S-transformation-based spectrum decomposition amplitude slices are used to identify reef boundary. The combined method of fractional frequency and waveform clustering can get more accurate reef boundary and more detailed characteristics of the reef, which are highly consistent with the actual drilling results in the study area.

Key words: Sichuan basin, Damaoping area, Permian, Changxing formation, waveform clustering, spectral decomposition, reef, reservoir prediction

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