| 多元回归分析方法在火山碎屑岩储层孔隙度计算中应用 |
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| 引用本文： | 张雅晨,刘财,范晓敏.多元回归分析方法在火山碎屑岩储层孔隙度计算中应用[J].世界地质,2012,31(2):377-382. |
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| 作者姓名： | 张雅晨 刘财 范晓敏 |
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| 作者单位： | 吉林大学地球探测科学与技术学院，长春130026 |
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| 摘 要： | 火山碎屑岩储层具有岩性复杂、测井数据种类繁多以及区域大、层位多等特点，导致火山碎屑岩储层测井参数难于确定。以海拉尔盆地乌尔逊--贝尔凹陷的火山碎屑岩储层为研究主体，在准确识别岩性的基础上，对测井资料进行预处理，根据岩心分析资料计算其理论骨架参数值。依据孔隙度与中子、密度、声波三者之间的关系，将多元回归方法应用在孔隙度计算中，实现利用多元回归方法计算火山碎屑岩储层孔隙度。其结果与岩心分析孔隙度比较接近，绝对误差仅为1. 6%，能满足储量计算要求。
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| 关 键 词： | 孔隙度 标准化 多元回归 测井 火山碎屑岩 储层 |
Application of multivariate regression analysis method in porosity calulation of volcanic clastic rock |
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| ZHANG Ya-chen
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LIU Cai
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FAN Xiao-min.Application of multivariate regression analysis method in porosity calulation of volcanic clastic rock[J].World Geology,2012,31(2):377-382. |
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| Authors: | ZHANG Ya-chen LIU Cai FAN Xiao-min |
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| Institution: | College of Geo-exploration Science and Technology，Jilin University，Changchun 130026，China |
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| Abstract: | Volcanic clastic rock reservoirs are complex in lithology and logging data,large in distribution regions,and multiple in layers,which lead to the difficulty on logging data determination.On the basis of accurately identification the lithological characters,the authors took the volcanic clastic reservoirs in Wuerxun-Bell depression of Hailar Basin as an example,did pretreatment of the logging data and calculated the theoretical skeleton parameters based on core analysis.Then,the authors applied multivariate regression method in porosity calculation and returned statistical formula based on the relationship among porosity with neutron,density and sound wave,which realized the porosity calculation of volcanic clastic reservoirs by multivariate regression method.The result was similar with porosity by core analysis(error=1.6%),and met the reservoir calculation requirement. |
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| Keywords: | porosity standardization multivariate regression logging volcanic clastic rock reservoir |
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