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作 者:李阳兵[1,2] 张筠[2] 徐炳高[2] 何会[2]
机构地区:[1]西南石油大学,四川成都610500 [2]中国石化集团石油工程西南有限公司测井分公司,四川成都610100
出 处:《测井技术》2009年第3期243-248,共6页Well Logging Technology
摘 要:在对鲕滩储层基本地质特征进行分析的基础上,提出了应用纵横波速度比和电成像资料结合的方法对鲕滩储层岩性进行识别。实际运用中纵横波速度比值不仅与储层含流体性质有关,还受岩性、孔隙度、岩石所承受的有效应力、裂缝等因素的影响。对鲕滩储层流体性质的识别是利用泊松比与体积压缩系数重叠和纵横波时差比与纵波交会识别流体性质;对鲕滩储层的孔隙型、裂缝型、裂缝-溶洞型等典型储层进行了深入的剖析和储层类型划分。通过对实例的剖析研究,在应用上取得了很好的效果,对同类储层评价具有一定的参考价值。On the basis of analyzing the basis geologic characteristics of oolitic beach reservoir, proposed is a method for this reservoir lithology identification using conventional P-wave/S-wave velocity ratio and electric imaging log data. In practical use, the P-wave/S-wave velocity ratio is not only related with the reservoir fluid properties, but also affected by lithology, porosity, effective stress bore by rocks, fractures and so on. In the oolitic reservoir fluid properties recognition, used are ratio of P-wave/S-wave interval transit time & P-wave interval transit time cross- plot technique as well as Poisson's ratio & volume compression factor overlay method. The oolitic beach reservoir types in Feixianguan Formation in east Sichuan basin are classified as following. porous reservoir, fractured reservoir, fractured-cavernous reservoir, and the like. Field log examples prove the above techniques have been successfully used in the oolitic reservoir evaluation and also provide a good reference for the same type of reservoir evaluation.
关 键 词:声-电成像测井 岩性识别 流体性质识别 储层划分 飞仙关组 鲕滩储层
分 类 号:P631.34[天文地球—地质矿产勘探]
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