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.