文献类型：期刊文献

中文题名：松辽盆地火山岩岩性识别中测井数据的选择及判别方法

英文题名：Selection and identification of logging data for lithology recognition of volcanic rocks in Songliao Basin

作者：张莹[1];潘保芝[2]

机构：[1]广东海洋大学海洋遥感与信息技术实验室,广东湛江524088;[2]吉林大学地球探测科学与技术学院,吉林长春130026

年份：2012

卷号：33

期号：5

起止页码：830

中文期刊名：石油学报

外文期刊名：Acta Petrolei Sinica

收录：CSTPCD、、北大核心2011、EI(收录号：20124415631448)、Scopus(收录号：2-s2.0-84867954565)、CSCD2011_2012、北大核心、CSCD

基金：国家自然科学基金项目(No.41174096);国家重大科技专项(2011ZX05009-001)资助

语种：中文

中文关键词：松辽盆地;火山岩岩性识别;测井参数选取;判别分析;常规测井

外文关键词：Songliao Basin; lithology identification of volcanic rock; logging parameter selectiom discriminant analysis; conventionallogging

中文摘要：依照松辽盆地深层火山岩岩性分类方案中的二级分类类型,对32口有准确岩心薄片定名资料的火山岩井段测井响应特征进行了总结,根据各测井响应区间值建立一个假设随机样本,应用逐步判别分析方法,在多个测井参数中按其对岩性分类判别能力的大小进行筛选,最终选取钾、铀、光电吸收截面指数、中子及自然伽马5个具有显著判别能力的参数,并在Bayers准则下建立判别函数,选择分类效果明显的两个判别函数建立岩性识别图版,克服了测井参数引入过多对岩性识别模型的不利影响。利用上述方法对松辽盆地徐家围子断陷火山岩井段的50个资料点的实测数据进行了处理,其回判数点正确率为88%。

外文摘要：According to the secondary taxonomic type in the lithology classification scheme for deep volcanic rocks in Songliao Basin, we summarized logging response characteristics of volcanic intervals in 32 wells that have exact nomination materials of core thin sec- tions. A hypothetical random sample based on the interval value of logging response of each well was determined, and various log- ging parameters were screened according to their distinguishability in lithologic classification by using the stepwise discriminant anal- ysis method. Five parameters with significant distinguishability, including potassium, uranium, photoelectric absorption coefficient, neutron and natural gamma ray, were finally chosen and discriminant functions were established with the Bayers criterion. In addi- tion, two discriminant functions with obvious classification effect were adopted to establish a plate for lithology identification in order to diminish the negative impact of employing overmany logging parameters on lithology identification models. Moreover, the above- mentioned approach was applied to process measured data from 50 material points of faulted volcanic intervals in Xujiaweizi of Songli- ao Basin, and the rate to verify the correctness in counting the number of points had reached to 88%.