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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。
The Yingcheng Formation of the Changling Fault Depression in the Songnan Basin extensively developed volcanic rocks and formed favorable facies belts in which explosive and spillover facies were superimposed. Volcanic reservoirs with dual media of voids and fractures were developed and are the main reservoirs in this area. Based on the characteristics of volcanic rocks, such as deep burial, complex lithology, poor stratigraphy and complex distribution of planes, the geophysical data are used to study the volcanic rock reservoir physical properties from volcanic physical model. Development is predicted and described. Taking the volcanic rocks in the Yaoyingtai area of the Changling fault depression in Songnan as an example, this paper mainly starts with the identification of volcano crater and volcanic rock mass. Using the seismic attribute technique and waveform classification technique, the distribution of reservoirs can be qualitatively predicted macroscopically. Logging constrained inversion to quantitatively predict the distribution characteristics of the reservoir and finally achieve the purpose of identifying and predicting volcanic reservoirs and establishing a more accurate geologic model of volcanic reservoir so as to guide the deployment of oil and gas exploration.