利用声成像测井数据实现岩石裂缝特征的自动识别  

AUTOMATIC IDENTIFICATION OF ROCKFRACTURES USING ACOUSTIC IMAGE LOGGING

作　　者：杨绪海[1] 张晓春[1] 

机构地区：[1]防灾技术高等专科学校，河北三河065201

出　　处：《中国海上油气（地质）》2000年第6期429-431,共3页China Offshore Oil and Gas(Geology)

摘　　要：通过不同成像测井方法的对比，认为声成像测井是探测裂缝的最佳选择，根据小波分析和模糊模式识别理论，分析了条纹噪声产生的原因，建立了一个有效的提取条纹背景噪声的算法模型，从而排除了井壁图像中垂直分布的阴影对裂缝识别的干扰，实现了对岩石裂缝特征的自动识别和较精确的定量分析，对阿特拉斯的井周声波成像仪（CBIL）测井数据进行了有效的处理。In image logging techniques, the acoustic image logging may be considered as the best one to identify fractures in rock. Based on theories of subwave analysis and fuzzy recognization, causes for generation of stripe noise are analysed, and an effective calculating model to pick up stripe noise background is established. Therefore, interferences of vertical shadow bands on borehole wall can be eliminated in fracture recognization, resulting in automatic identification and more accurate quantification of rock fractures. Furthermore, the ATLAS′CBIL data has been effectively processed.

关 键 词：测井数据 岩石裂缝特征 自动识别 声成像测井 条纹噪声 

分 类 号：P631.814[天文地球—地质矿产勘探]