基于SPSS的γ能谱法鉴别钻井岩屑沉积岩类别
γ能谱法鉴别钻井岩屑沉积岩类别，有助于解决沉积岩小类划分困难以及化学分析时间长等问题。介绍了通过低本底γ能谱法测定钻井岩屑中的天然放射性核素K、U、Th含量来划分泥岩中的深灰色含灰泥岩、深灰色灰质泥岩以及灰色灰质泥岩的方法。分别选用1．37—1．56MeV、1．66—1．86MeV以及2．41-2．81MeV能区的计数率来代表K、U、Th的放射性强度。利用SPSS（Statistical Product and Service Solutions）软件对这三种泥岩的K、U、Th计数率以及总计数率对岩石岩性进行费歇尔判别分析，其岩性识别正确率分别为100％、76．47％和60％。由实验可得，根据...
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| Published in | 核技术 Vol. 38; no. 8; pp. 68 - 72 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
成都理工大学核技术与自动化工程学院 成都610059%中国石油长庆油田分公司勘探部 西安710018%盘锦中录油气技术服务有限公司 盘锦124010
2015
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0253-3219 |
| DOI | 10.11889/j.0253-3219.2015.hjs.38.080504 |
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| Abstract | γ能谱法鉴别钻井岩屑沉积岩类别，有助于解决沉积岩小类划分困难以及化学分析时间长等问题。介绍了通过低本底γ能谱法测定钻井岩屑中的天然放射性核素K、U、Th含量来划分泥岩中的深灰色含灰泥岩、深灰色灰质泥岩以及灰色灰质泥岩的方法。分别选用1．37—1．56MeV、1．66—1．86MeV以及2．41-2．81MeV能区的计数率来代表K、U、Th的放射性强度。利用SPSS（Statistical Product and Service Solutions）软件对这三种泥岩的K、U、Th计数率以及总计数率对岩石岩性进行费歇尔判别分析，其岩性识别正确率分别为100％、76．47％和60％。由实验可得，根据K、U、Th及总的计数率基本可识别深灰色含灰泥岩，而对于深灰色灰质泥岩以及灰色灰质泥岩的识别效果较好，佃不能完伞区分。 |
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| AbstractList | γ能谱法鉴别钻井岩屑沉积岩类别，有助于解决沉积岩小类划分困难以及化学分析时间长等问题。介绍了通过低本底γ能谱法测定钻井岩屑中的天然放射性核素K、U、Th含量来划分泥岩中的深灰色含灰泥岩、深灰色灰质泥岩以及灰色灰质泥岩的方法。分别选用1．37—1．56MeV、1．66—1．86MeV以及2．41-2．81MeV能区的计数率来代表K、U、Th的放射性强度。利用SPSS（Statistical Product and Service Solutions）软件对这三种泥岩的K、U、Th计数率以及总计数率对岩石岩性进行费歇尔判别分析，其岩性识别正确率分别为100％、76．47％和60％。由实验可得，根据K、U、Th及总的计数率基本可识别深灰色含灰泥岩，而对于深灰色灰质泥岩以及灰色灰质泥岩的识别效果较好，佃不能完伞区分。 TL182; γ能谱法鉴别钻井岩屑沉积岩类别,有助于解决沉积岩小类划分困难以及化学分析时间长等问题.介绍了通过低本底γ能谱法测定钻井岩屑中的天然放射性核素K、U、Th含量来划分泥岩中的深灰色含灰泥岩、深灰色灰质泥岩以及灰色灰质泥岩的方法.分别选用1.37-1.56 MeV、1.66-1.86 MeV以及2.41-2.81 MeV能区的计数率来代表K、U、Th的放射性强度.利用SPSS (Statistical Product and Service Solutions)软件对这三种泥岩的K、U、Th计数率以及总计数率对岩石岩性进行费歇尔判别分析,其岩性识别正确率分别为100％、76.47％和60％.由实验可得,根据K、U、Th及总的计数率基本可识别深灰色含灰泥岩,而对于深灰色灰质泥岩以及灰色灰质泥岩的识别效果较好,但不能完全区分. |
| Author | 辜润秋 赖万昌 林宏健 阎荣辉 王刚 张丽娇 祝美英 黄子舰 黄进初 |
| AuthorAffiliation | 成都理工大学核技术与自动化工程学院,成都610059 中国石油长庆油田分公司勘探部,西安710018 盘锦中录油气技术服务有限公司,盘锦124010 |
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| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| DOI | 10.11889/j.0253-3219.2015.hjs.38.080504 |
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| DocumentTitleAlternate | γ-ray spectrometry to identify the classification of well drilling debris of sedimentary rocks based on SPSS |
| DocumentTitle_FL | γ-ray spectrometry to identify the classification of well drilling debris of sedimentary rocks based on SPSS |
| EndPage | 72 |
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| Keywords | Analysis of cores Gamma ray spectrometer Discriminant analysis γ能谱法 岩芯分析 判别分析 |
| Language | Chinese |
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| Notes | Background： The application of gamma ray spectroscopy on the classification for the sedimentary rocks is helpful to solve the problem of small classification and the long cycle for chemical analysis of the sedimentary rocks. Purpose： This study aims to introduce a method of determining the content of natural radionuclides K, U, Th in the well drilling debris with the low background gamma ray spectroscopy for dipartition among dark gray ash mudstone, dark grey calcareous mudstone and grey calcareous mudstone. Methods： Count rates of K, U, Th in the energy ranges of 1.37-1.56 MeV, 1.66-1.86 MeV and 2.41-2.81 MeV were selected to represent the intensity of radioactivity of K, U, Th. The fisher discriminant criterion was applied to measured count rates of various samples for classification of sedimentary rocks using the Statistical Product and Service Solutions （SPSS） software. Results： According to the count rate of K, U, Th and total count rate of the three mudstones carry out the discriminant analysis of rock |
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| Publisher | 成都理工大学核技术与自动化工程学院 成都610059%中国石油长庆油田分公司勘探部 西安710018%盘锦中录油气技术服务有限公司 盘锦124010 |
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| Snippet | ... TL182; γ能谱法鉴别钻井岩屑沉积岩类别,有助于解决沉积岩小类划分困难以及化学分析时间长等问题.介绍了通过低本底γ能谱法测定钻井岩屑中的天然放射性核素K、U、Th含量来划分泥岩中的深灰色含灰泥岩、深灰色灰质泥岩以及灰色灰质泥岩的方法.分别选用1.37-1.56 MeV、1.66-1.86... |
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| StartPage | 68 |
| SubjectTerms | γ能谱法 判别分析 岩芯分析 |
| Title | 基于SPSS的γ能谱法鉴别钻井岩屑沉积岩类别 |
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