Oil & Gas Geology ›› 2012, Vol. 33 ›› Issue (4): 520-525.doi: 10.11743/ogg20120404

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Volcanic reservoir prediction of Yingcheng Formation in Fengle area, Xujiaweizi fault depression,northern Songliao Basin

Cao Jianhua1, Jiang Chuanjin2, Zhao Fuhai2, Li Naigao3, Cao Hongming1   

  1. 1. School of the Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China;
    2. Exploration and Development Research Institute, PetroChina Daqing Oilfield Company, Daqing, Heilongjiang 163712, China;
    3. The Second Oil Production Plant, PetroChina Xinjiang Oilfield Company, Karamay, Xinjiang 834008, China
  • Received:2012-01-06 Revised:2012-05-11 Online:2012-08-28 Published:2012-09-11

Abstract:

Distribution of volcanic reservoirs is controlled by various factors such as volcanic edifice,lithology and lithofacies and is difficult to be precisely predicted because of their complexity and heterogeneity.Volcanic reservoirs of crater-near crater sedimentary microfacies are the most favorable reservoirs and their seismic responses are characterized by chaotic high-frequency,discontinuous and irregular reflection configuration,rapid facies change and dome reflections.It is difficult to precisely characterize the volcanic reservoirs through seismic interpretation due to the limitation of seismic data quality.In the paper,we present a new seismic interpretation workflow based on the technique of three-dimensional seismic voxel and imaging analysis.First,structurally-oriented noise filter technique is used to improve the signal/noise ratio of post-stack amplitude data.Then,volumetric seismic attributes including chaos and structurally-oriented discontinuity are used to identify volcanic reservoirs.Finally,three-dimensional imaging techniques with high resolution including attribute classfication automatic geobody detection and 3D visualization are applied to predict the spatial distribution of the volcanic reservoirs.This workflow is applied in Yingcheng Formation volcanic reservoir characterization in Fengle area,Xujiaweizi fault depression,northern Songliao basin.The reservoirs are clearly imaged and mapped,providing instructive constraints for further physical properties prediction of the volcanic reservoirs.

Key words: structurally-oriented noise filter, three-dimension seismic, three-dimensional imaging, crater-near crater sedimentary microfacies, Yingcheng Formation, Xujiaweizi fault depression, northern Songliao Basin

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