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
出处
《测井技术》
CAS
CSCD
北大核心
2009年第2期110-114,共5页
Well Logging Technology
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
Formation Micro resistivity Image（FMI） logging, lithology identification, igneous rock, digital image, texture analysis
