松辽盆地火山岩岩性识别中测井数据的选择及判别方法

doi:10.7623/syxb201205012

石油学报 ›› 2012, Vol. 33 ›› Issue (5): 830-834.DOI: 10.7623/syxb201205012

松辽盆地火山岩岩性识别中测井数据的选择及判别方法

张　莹 1　潘保芝 2

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

收稿日期:2012-01-03 修回日期:2012-04-15 出版日期:2012-09-25 发布日期:2012-11-27
通讯作者: 张　莹
作者简介:张　莹，女，1982年6月生，2010年获吉林大学博士学位，现为广东海洋大学讲师，主要从事火山岩储层测井综合评价研究。
基金资助:
国家自然科学基金项目（No.41174096）和国家重大科技专项（2011ZX05009-001）资助。

Selection and identification of logging data for lithology recognition of volcanic rocks in Songliao Basin

ZHANG Ying 1　PAN Baozhi 2

Received:2012-01-03 Revised:2012-04-15 Online:2012-09-25 Published:2012-11-27

摘要/Abstract

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%。

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

Abstract:

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 sections. A hypothetical random sample based on the interval value of logging response of each well was determined, and various logging parameters were screened according to their distinguishability in lithologic classification by using the stepwise discriminant analysis 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 addition, 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 Songliao Basin, and the rate to verify the correctness in counting the number of points had reached to 88%.

Key words: Songliao Basin, lithology identification of volcanic rock, logging parameter selection, discriminant analysis, conventional logging

张　莹　潘保芝. 松辽盆地火山岩岩性识别中测井数据的选择及判别方法[J]. 石油学报, 2012, 33(5): 830-834.

ZHANG Ying　PAN Baozhi. Selection and identification of logging data for lithology recognition of volcanic rocks in Songliao Basin[J]. Editorial office of ACTA PETROLEI SINICA, 2012, 33(5): 830-834.

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松辽盆地火山岩岩性识别中测井数据的选择及判别方法

Selection and identification of logging data for lithology recognition of volcanic rocks in Songliao Basin

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