应用声学岩石物理模型进行储层流体性质识别  

On Reservoir Fluid Identification Based on Sonic Rock Physics Model

作　　者：赵立新[1,2] 刘学锋[3] 孙建孟[3] 李召成[3] 

机构地区：[1]中国石油大学资源与信息学院,北京102249 [2]中国海洋石油有限公司勘探部,北京100010 [3]中国石油大学地球资源与信息学院,山东东营257061

出　　处：《测井技术》2009年第5期444-448,共5页Well Logging Technology

摘　　要：介绍了利用常规测井资料与声学岩石物理模型相结合进行复杂岩性储层的流体识别的方法。建立了双重孔隙各向异性岩石物理模型。利用测井曲线计算孔隙度、泥质含量、石英颗粒的体积模量与剪切模量等岩石物理模型所需的输入参数。应用该模型估算岩石在含水饱和、含油饱和条件下的纵、横波时差曲线,然后计算相应的纵横波速度比、泊松比等弹性参数。对比实测的弹性参数与模型估算的弹性参数,根据其大小关系识别储层流体。2口井的实际测井资料处理表明,利用岩石物理模型识别储层流体结论与常规测井解释结论、试油结论均相符,这为复杂岩性储层的流体识别提供了一种新方法。Introduced is a new method to identify complicated lithology reservoir fluid type by combining the conventional logging data and the rock physics model. A dual-porosity anisotropic model is built. The input parameter for this model, such as porosity, shale content, bulk modulus and shear modulus of quartz grain are calculated by logging curves. Reservoir elastic parameters, for example compressional and shear wave velocity ratio, Poisson ratio, are computed by compressional wave and shear wave interval transit time when saturating oil or water, which are estimated by the dual-porosity anisotropie model. The type of the reservoir fluid is identified by comparing the elastic parameters derived from dual-porosity anisotropic model with those from the logging data. Practical logging data processing in 2 wells shows that, the fluid interpretation result of this model is consistent with the traditional log interpretation results and the DST testing results. The technology can be seen as a new approach to identify fluid in the complicated reservoir.

关 键 词：测井解释 岩石物理模型 复杂岩性储层 纵波 横波 声波时差 流体识别 

分 类 号：P631.84[天文地球—地质矿产勘探]