FMI图像纹理统计方法识别火成岩岩性  

Lithology Identification of Igneous Rock Using FMI Texture Analysis

作　　者：王满[1] 薛林福[1] 潘保芝[2] 

机构地区：[1]吉林大学地球科学学院,吉林长春130061 [2]吉林大学地球探测科学与技术学院,吉林长春130026

出　　处：《测井技术》2009年第2期110-114,共5页Well Logging Technology

摘　　要：火成岩岩性识别有助于火山旋回划分、地层详细对比、建立研究区的地质模型,为储层评价提供重要依据。使用纹理分析的统计方法,建立区域灰度共生矩阵,能够计算出可以定量描述地层微电阻率扫描测井(FMI)图像纹理特征的参数,对纹理的平滑性、稀疏性、规则性等进行描述。利用这些参数可以有效区别各种火成岩岩石类型。大庆某地区的实际处理结果表明,FMI图像纹理统计方法是识别火成岩的结构与构造的一种有效方法。Lithology identification for igneous rock is beneficial to divide volcanic cycles, make detailed contrast of strata, build geological model of interest region, and provide reference for reservoirs evaluation. The images obtained from Formation Micro-resistivity Image （FMI） scan log have higher resolution, and their texture characters can reflect the framework and structure of igneous rock. A regional gray symbiosis matrix is set up with statistical texture analysis method, which can be used to calculate parameters that describe the texture characters of FMI images, such as the texture＇s smoothness, sparseness, regularity, etc. These parameters can be used to identify the igneous rock lithology effectively. Case studies in Daqing oilfield show that the FMI texture analysis method is an effective way to identify igneous rock framework and structure

关 键 词：微电阻率扫描测井 岩性识别 火成岩 数字图像 纹理分析 

分 类 号：P588.1[天文地球—岩石学]