波阻抗反演是储层参数及砂体预测不可缺少的内容，在地震勘探中占有重要位置。
Wave impedance inversion is essential in predicting reservoir properties and sand-body distribution, and plays an important role in seismic survey.
在参数模型研究的基础上，采用双孔隙度反演和油藏模式识别技术对储层分布和油藏特征进行了进一步的描述和分析。
The reservoir distribution and its features are demonstrated by seismic dual porosity inversion and reservoir pattern recognition based on modeling analysis.
最后，利用反演得到的流体敏感弹性参数进行含气储层预测。
Finally, the obtained fluid sensitive elastic parameters were used for gas-bearing reservoir prediction.
随机地震反演不仅可以获得高分辨率波阻抗资料，还可以得到伽玛、孔隙度等储层物性参数，具有更直接的岩石物理意义。
Through stochastic inversion, not only the high resolution impedance, but also the gamma ray, porosity and other lithologic parameters with physical properties of rock can be inverted.
随机地震反演不仅可以获得高分辨率波阻抗资料，还可以得到伽玛、孔隙度等储层物性参数，具有更直接的岩石物理意义。
Through stochastic inversion, not only the high resolution impedance, but also the gamma ray, porosity and other lithologic parameters with physical properties of rock can be inverted.
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