西南石油大学学报(自然科学版)

• 博导论评 • 上一篇    

火山岩岩石微观特征及其测井宏观表征

邓少贵1,2 *,赵岳1,2,李栗1,2,霍宁宁1,2   

  1. 1. 中国石油大学(华东)地球科学与技术学院,山东青岛266000
    2. 中国石油大学(华东)CNPC 测井重点实验室,山东青岛266000
  • 出版日期:2015-12-01 发布日期:2015-12-01
  • 通讯作者: 邓少贵,E-mail:dengshg@upc.edu.com
  • 基金资助:

    国家自然科学基金(41174009);国家科技重大专项(2011ZX05009,2011ZX05007,2011ZX05020,2011ZX05035)。

Microscopic Characteristics and Logging Macro Characterization of#br# Volcanic Rocks

Deng Shaogui1,2*, Zhao Yue1,2, Li Li1,2, Huo Ningning1,2   

  1. 1. College of Geosciences,China University of Petroleum,Qingdao,Shandong 266000,China
    2. CNPC Key Well Logging Laboratory,China University of Petroleum,Qingdao,Shandong 266000,China
  • Online:2015-12-01 Published:2015-12-01

摘要:

基于图像处理技术,分析华北某油田深层火山岩薄片图像灰度频率分布规律,研究储层岩石孔隙结构微观特
征,并探索其与火山岩储层测井的响应关系。研究表明:本区酸性火山岩薄片灰度频率分布图主要呈单峰特征,具有
高硅、低铁特征;基性火山岩为明显非对称分布,具有低硅、高铁特征。火山岩薄片图像中硅质成分的灰度域与GR 范
围对应性较好。基性火山岩GR 值低,硅质成分灰度域值小;酸性火山岩GR 值高,硅质成分灰度域值大。GR 值可以
作为硅质成分的指示值,用于基性火山岩和酸性火山岩识别。基性火山岩受蚀变影响较普遍,绿泥石化越严重,电阻
率越低,中子孔隙度越大,硅质成分向灰度小的方向偏移越剧烈。

关键词: 薄片, 图像处理, 灰度频率, 微观特征, 测井响应

Abstract:

Based on the image processing techniques,this paper analyzes the gray frequency distribution of image of the thin
sections in deep volcanic rocks from a certain oil field in north China,and investigates the microscopic characteristics of the
pore structures of reservoirs and their relationships with the log response of volcanic reservoirs. The research shows that the
thin sections in acid-volcanic-rock in this area are characterized by high silicon and low iron and that the line graph of their gray
frequency presents unimodal characteristics. However,the basic volcanic rock obviously presents asymmetric distribution and
shows a low silicon and high iron characteristics. Gray threshold value of the siliceous component corresponds to the range
of GR better in the image of thin sections of volcanic rocks. The GR value of basic volcanic rocks is low and gray value of
the siliceous component is small. The GR value and gray threshold value of the siliceous component of acid-volcanic-rock are
high. So the GR value can be used as the siliceous component to identify the basic volcanic rocks and acid volcanic rocks. For
basic volcanic rocks,the more serious the chloritization,the lower the resistivity,the higher the neutron porosity,the more
intense the siliceous component move towards the direction of the smaller gray value.

Key words: thin sections, image processing, gray frequency, microscopic characteristics, log response

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