[1]张兆辉,高楚桥.基于地层组分分析的火山岩岩性识别[J].测井技术,2012,36(01):29-32.
 ZHANG Zhaohui,GAO Chuqiao.Identification of Igneous Rock Lithology by Analyzing Components of Stratum[J].WELL LOGGING TECHNOLOGY,2012,36(01):29-32.
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基于地层组分分析的火山岩岩性识别()
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《测井技术》[ISSN:1004-1338/CN:61-1223/TE]

卷:
第36卷
期数:
2012年01期
页码:
29-32
栏目:
处理解释
出版日期:
2012-02-29

文章信息/Info

Title:
Identification of Igneous Rock Lithology by Analyzing Components of Stratum
作者:
张兆辉1高楚桥2
1 中国石油勘探开发研究院西北分院, 甘肃 兰州 730020; 2 长江大学地球物理与石油资源学院, 湖北 荆州 434023
Author(s):
ZHANG Zhaohui1GAO Chuqiao2
1. Northwest Branch, Research Institute of Petroleum Exploration and Development, PetroChina, Lanzhou, Gansu 730020, China; 2. Geophysics and Oil Resource Institute, Yangtze University, Jingzhou, Hubei 434023, China
关键词:
测井解释 地层组分 岩性识别 火山岩 物性分析 测井响应
Keywords:
log interpretation stratum component lithology identification igneous rock physical property analysis log response
分类号:
P63184
摘要:
在物性分析资料和薄片观察的基础上,确定主要地层组分的常规测井响应值和ECS测井元素含量响应值。根据地层组分分析模型,建立了密度、声波、中子、自然伽马以及铝、硅、钙、铁元素含量的测井响应方程。计算了7种主要地层组分(包括岩石骨架、流体)的相对体积含量,并据此识别火山岩岩性。利用自主研发的测井资料处理解释软件,对三塘湖盆地A区火山岩进行岩性测井识别。识别结论与薄片观察结果进行了对比,表明岩性识别效果好,提高了识别准确率。该方法可为其他地区火山岩、甚至碳酸盐岩等复杂岩性储集层的岩性识别提供一定的参考和借鉴,提出了ECS测井资料的应用新手段。
Abstract:
On the basis of physical property data and rock sections, identified are the conventional logging responses and elements content responses about the main components of stratum. According to the group stratum model, deduced are the logging response equations of density, acoustic travel time, apparent neutron, gamma ray and aluminum, silicon, calcium and iron. The relative volume content of 7 stratum components (including the rock matrix and fluid) is calculated, so as to identify the igneous rock lithology with logging data. The log data of igneous sections in Santanghu basin are processed using the software developed by ourselves. The identifying result is contrasted with the rock sections, and the accuracy of lithology identification is greatly improved. Not only the method provides some reference for lithology identification of other igneous rocks and carbonates, but also provides new means for using ECS logging data.

参考文献/References:

[1]范宜仁,黄隆基,代诗华. 交会图技术在火成岩岩性和裂缝识别中的应用[J]. 测井技术,1999,23(1):5356.
[2]陈钢花, 吴文圣,毛克文. 利用地层微电阻率扫描图像识别岩性[J]. 石油勘探与开发, 2001,28(2):5355.
[3]赵建,高福红. 测井资料交会图法在火山岩岩性识别中的应用[J]. 世界地质, 2003,22(2):136140.
[4]潘保芝,闫桂京,吴海波. 对应分析确定松辽盆地北部深层火成岩岩性[J]. 大庆石油地质与开发, 2003,22(1): 79.
[5]袁祖贵,成晓宁,孙娟. 地层元素测井(ECS)——一种全新评价储层的测井新技术[J]. 原子能科学技术,2004,38(增刊): 209213.
[6]程华国,袁祖贵. 用地层元素测井(ECS)资料评价复杂地层岩性变化[J]. 核电子学与探测技术,2005,25(3):233238.
[7]冉启全,胡永乐,任宝生. 火成岩岩性识别方法及其应用研究——以大港枣园油田枣35块火成岩油藏为例[J]. 中国海上油气,2005,17(1):2529.
[8]周波,李舟波,潘保芝. 火成岩岩性识别方法研究[J].吉林大学学报:地球科学版,2005,35(3):394397.
[9]王拥军,冉启全,童敏,等. ECS测井资料在火山岩岩性识别中的应用[J]. 国外测井技术,2006,21(1):1316.
[10]王拥军,周雪峰,吴海中,等. 火山岩岩性识别新技术[J]. 断块油气田,2006,13(3):8688.
[11]韩琳,张建民,邢艳娟,等. 元素俘获谱测井(ECS)结合QAPF法识别火成岩岩性[J]. 国外测井技术,2010,34(1):4750.
[12]Hagan M T,Demuth H B,Beale M H.Neural Network Design[M]. Boston: WS Publishing Company MA,1996.
[13]高楚桥.复杂储层测井评价方法[M].北京:石油工业出版社,2003.
[14]雍世和,张超谟.测井数据处理与综合解释[M].北京:石油工业出版社,1996.
[15]薛嘉庆. 最优化原理与方法[M]. 北京:冶金工业出版社,1983.
[16]陈希孺,王松桂. 线性模型中的最小二乘法[M]. 上海:上海科学技术出版社,2003.
[17]高楚桥,谭廷栋. 常见测井响应参数的理论计算[J].石油地球物理勘探,1997,32(6):818825.

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备注/Memo

备注/Memo:
收稿日期:2011-05-13
作者简介: 张兆辉,男,1982年生,硕士,研究方向是测井资料数字处理与综合解释。
文章编号:1004-1338(2012)01-0029-04
更新日期/Last Update: 2012-02-20