成像测井图像在火山岩岩性识别中的应用

Application of imaging logging maps in lithologic identification of volcanics

(1.吉林大学地球探测科学与技术学院，吉林长春130026；2.中国石油大庆油田责任有限公司勘探开发研究院,黑龙江大庆163712；3.中国石油大庆石油管理局测井公司，黑龙江大庆163762)

College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China

在火山岩储层评价中，岩性识别的正确与否直接影响评价结果的可靠性。对松辽盆地北部火山岩地层，利用微电阻率成像测井(FMI)图像，结合常规测井资料，对火山岩岩性进行了识别。首先利用FMI静态图像和常规测井曲线将砂泥岩与火山岩区分开来；然后利用FMI动态图像分析了火山岩各种岩性的图像特征，归纳总结出火山熔岩类(流纹岩、英安岩、安山岩、玄武岩)和火山碎屑岩类(火山角砾岩、凝灰岩)的FMI图像模式；最后对研究区的22口井，利用火山岩岩性的FMI图像模式，结合常规测井岩性识别方法，对火山岩岩性进行了识别，识别结果与岩心薄片定名资料的符合率达83%。

In volcanics reservoir evaluation, lithologic identification directly affects the reliability of evaluation results. Based on the FMI images and the conventional logging data, the lithology of volcanics was recognized in the north area of Songliao Basin. Firstly, the volcanics and shaly sand were separated with FMI static images and conventional logging data. Then, the image characteristics of all typical volcanics were analyzed with the dynamic FMI images to establish the FMI image patterns of volcanic lava (including rhyolite, dacite, andesite, and basalt )and volcaniclastic rock (including volcanic breccia and tuff). Finally, the FMI image patterns of volcanics combined with the conventional logging lithology recognition method were applied in 22 wells to identify the lithology of volcanics. The result shows that the coincidence rate of recognition to the named data from cores wafer reaches 83%.