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机构地区:[1]广东海洋大学海洋遥感与信息技术实验室,广东湛江524088 [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》2012年第4期365-369,共5页Well Logging Technology
基 金:国家自然科学基金(编号:41174096);国家重大专项(编号:2011zx05009-001)联合资助
摘 要:针对火山岩储层裂缝孔隙度定量求取这一问题,为充分利用地层微电阻率成像测井(FMI)资料,论述了已有的软件人机交互解释求取方法和图像特征提取求取方法,并提出一种基于采集数据阵邻域搜索的求取方法。以岩心分析得到的总孔隙度值与声波得到的岩块孔隙度值之差作为标准值,分析人机交互解释、图像特性提取、基于采集数据矩阵建模等3种求取裂缝孔隙度的求取效果。对比长岭地区3口井17个深度点的裂缝孔隙度计算结果,得出第1种方法依赖解释者的主观经验,计算结果大小不定;第2种方法只对标准正弦形态裂缝有效,计算结果偏小;第3种方法将全部低电阻率响应划入,计算结果偏大。It is very difficult to quantitatively acquire the fracture porosity of volcanic reservoir. To take full advantage of micro-resistivity imaging log (FMI) data, expounded are the existing ways about interactive interpretation and image feature extraction, and put forward is a new method to calculate the fracture porosity of volcanic reservoir which is based on collecting data array neighborhood search. We take the differentials between the total porosity values from the core analysis and rock porosity values from the acoustic logging as the standard value to analyze the calculations of the above methods. Through the comparison of calculations about the fracture porosity from 17 depth points of three wells, we could get the conclusion. The first method relies on subjective experience of personnel, the calculations are not sure; The second method is only effective for the standard sine form fracture, the calculations are smaller; The third method includes all the low resistivity responses, the calculations are larger.
关 键 词:微电阻率成像测井 火山岩 裂缝孔隙度 图像特征提取 采集数据
分 类 号:P631.84[天文地球—地质矿产勘探]
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