3D Visualization Prediction of Fractured Reservoir in Xujiahe Formation of Sichuan Basin in China

Abstract

Rock of Xujiahe formation in Sichuan basin is characterized by very low porosity and permeability, forecast the spatial distribution of fractured reservoir is the key of success in exploration. Combine logging and seismic data, analysis multi-attributes, optimizing post-stack seismic data processing method, we selected amplitude, average energy, chaotic reflection and amplitude weighted instantaneous frequency (AWIF) to study seismic response. The fractured reservoir have weak amplitude, low average energy, low AWIF and high chaotic reflection. Then with the aid of 3D visual technology, research data set, and recognize that some data, like amplitude and impedance etc, should emphases low value, others like chaotic reflection and auto-fault extraction(AFE) etc, should stand out high value. Base on these, form a suit of technology predicting fractured reservoir by using 3D visualization method. Take amplitude, chaotic reflection and AFE data as case, depict the spatial distribution of fractured reservoir. The results can clearly exhibit the spatial distribution of reservoir