A CASE STUDY ON YAOYINGTAI AREA,CHANGLING FAULT-DEPRESSION:RECOGNITION SCANNING TECHNOLOGY OF VOLCANIC RESERVOIR

The Yingcheng formation in Changling fault depression,Songnan basin,hosts extensively-distribution of volcanic,forming a favorable facies zone of explosive facies overlapping effusive facies with fissures and porosity being as volcanic reservoir.This paper,based on the characters of deeply-buried,complicated,poor bedding,and involute planar distribution rules,uses geophysical data and its physical model to forecast and describe the development of volcanic reservoir.This paper,based on a case study on Yaoyingtai volcanic reservoir,Changling fault-depression,adopts seismic and waveform classification technology from recognition of crator and volcanic bodies to qualitatively predict the distribution of reservoir,and to quantitatively predict the attitude of reservoir by using logging constraints,which has been proven to recognize and predict volcanic reservoir and to establish a more accurate volcanic reservoir model.