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应用核磁共振测井进行海拉尔地区储层分类 被引量:18

Reservoir Classification Using Nuclear Magnetic Resonance Logging in Hailaer Basin,Daqing Oilfield
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摘要 大庆油田海拉尔地区岩性复杂,孔隙结构差异大,应用常规测井方法无法准确划分储层。应用核磁共振测井资料处理得到的孔径分布曲线可明显看出储层微小孔隙及大孔隙的发育程度,直观准确地划分储层与非储层;利用核磁共振T2分布曲线还可计算出连续的毛细管压力曲线。综合应用核磁共振和试油资料,建立了海拉尔盆地南屯组储层定量分类标准,将储层分为Ⅰ、Ⅱ、Ⅲ类。应用该方法在海拉尔盆地处理解释16口井,经试油资料验证符合率达到95%以上。该方法弥补了利用常规测井和岩心毛细管压力曲线进行储层分类的不足,解决了海拉尔盆地储层分类评价的难题。 Using conventional logging data is difficult to get correct reservoir classification in Hailaer basin, Daqing oilfield, which presents complex lithology and great difference pore structure. Nuclear magnetic resonance(NMR) logging technology is employed in reservoir classification. According to the pore-size distribution curves derived from NMR logging data, the micropores and the macropores are identified to directly classify the reservoirs and non reservoirs in Hailaer basin. Continuous capillary pressure curve from T2 distribution spectrum is critical to study pore structure of the reservoir. Based on the combination of NMR logging data and the tes- ting data, established are quantitative standards of reservoir classification, from which the reser- voirs are classified into Ⅰ . Ⅱ. Ⅲ types. The interpretation method is applied to 16 wells in Hailaer basin. Comparison of the interpretation result and the corresponding testing data from the 16 wells show that the interpretation accordant rate is above 95%. This application makes up for the shortcoming of the reservoir classification using conventional logging data and core capillary pressure curves , solving the geological problems from reservoir classification and formation evaluation in Hailaer basin.
出处 《测井技术》 CAS CSCD 2008年第2期191-195,共5页 Well Logging Technology
关键词 核磁共振测井 横向弛豫时间谱(T2谱) 毛细管压力 孔隙结构 储层分类 标准 nuclear magnetic resonance logging, transverse relaxation time spectrum, capillarypressure, pore structure, reservoir classification, standard
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