摘要
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 di- rectly 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 es- tablish the FMI image patterns of volcanic lava (including rhyolite, dacite,andesite,and basalt) and volcaniclastic rock (including vol- canic breccia and tuff).Finally,the FMI image patterns of volcan- ics combined with the conventional logging lithology recognition method were applied in 22 wells to identify the lithology of volcan- ics.The result shows that the coincidence rate of recognition to the named data from cores wafer reaches 83%.
出处
《石油物探》
EI
CSCD
2007年第3期288-293,共6页
Geophysical Prospecting For Petroleum
关键词
微电阻率成像测井
火山岩
岩性识别
图像模式
测井曲线
formation micro-resistivity image (FMI)
volcanics
lithology identification
image pattern
logging curves
