研究区位于苏里格气田，储层段砂岩与泥岩的纵波速度、密度和纵波阻抗等参数相互叠置，造成在该区使用常规的叠后波阻抗反演难以进行储层预测和流体识别。为此，利用测井资料，开展了以地震岩石物理参数分析、弹性阻抗分析、流体替换及AVO 特征分析为基础的叠前储层预测和流体识别可行性研究。结果表明：利用岩石的弹性物理参数能够很好地区分砂岩和泥岩，并确定对储层或含气性敏感的参数；利用不同角度的弹性阻抗不仅可以很好地识别砂岩和泥岩，而且还可以区分气层和非气层；利用AVO 属性可以预测盒8 段砂岩是否含气，但不能预测该气层是否具有工业价值。所有这些研究为在该工区开展叠前储层预测和流体识别研究提供了依据，使得储层预测更具有针对性。

The study area is located in Sulige Gasfield. The reservoir gas-bearing sand is close to shale in density, Pwave velocity and impedance. So, it is difficult to divide gas-bearing sand from shale using conventional reservoir prediction methods. Based on well logging data, combined with rock physics analysis, elastic impedance analysis and AVO analysis, the studies on reservoir prediction and fluid identification in Sulige Gasfield are carried out. The results show that the elastic physical parameters can be used to distinguish sand from shale and determine the gas-bearing sensitive parameter. Elastic impedance of different angles can be used not only to divide sand from shale, but also to distinguish gas-bearing formation fromnon-gas-bearing formation. AVOattributes can be used to determine whether He 8 member is gas-bearing sandstone, but can not be used to predict whether it is commercial gas. These studies provide foundation for reservoir prediction and fluid identification.