火山岩储层识别描述技术探讨——以松南长岭断陷腰英台地区为例

松南盆地长岭断陷营城组广泛发育火山岩，形成了爆发相和喷溢相叠合的有利相带，发育了空隙和裂缝双重介质的火山岩储集体，是该区的主要储集层。本文针对火山岩这一特殊岩性体埋藏深、岩性复杂、成层性差、平面分布规律复杂等特点，利用地球物理资料，从火山机构物理模型出发，综合应用多学科多技术手段对火山岩储层发育进行预测和描述。并以松南长岭断陷腰英台地区的火山岩为例，主要从火山口、火山岩体识别入手，利用沿层地震属性技术以及波形分类技术，从宏观上定性预测储层的分布，利用多井测井约束反演对储层展布特征进行定量预测，最终达到识别和预测火山岩储层，建立更准确的火山岩储层地质模型，从而达到指导油气勘探部署的目的。

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.