【摘要】 地震数据资料、岩石物理学和数学上统计方法的结合,有助于定量解析地震数据资料,减少岩石骨架、流体信息预测的风险性.本文基于典型砂岩样品(韩德华的P组砂岩样品)数据,把临界孔隙流体介质模型和数学统计方法相结合,从可测的岩石整体密度速度信息直接反演岩石骨架和流体的密度、速度信息,所得反演信息符合实际情况,证明了方法的可行性.另外,本文基于临界孔隙流体介质模型对反演信息进行了正演研究,所得计算密度与实测密度之间的相对误差基本小于0.02,所得计算速度与实测速度之间的相对误差基本小于0.1,证明了该方法效果好,具有较强的应用价值.更多还原

【Abstract】 The combination of seismic data,rock physics and mathematical statistics helps quantitative interpretation of the seismic data,and reduces the risk of reservoir framwork and fluid prediction.Based on typical sandstone data,we combine the critical pore fluid medium model and mathematical statistic method,then directly inverse density and velocity of rock framework and fluid from measured effective density and velocity.The typical sandstone samples cite P group sandstoneis provided by De-hua Han of physics lab of University of Houston of American.We can prove that the inversion result is suitable for practical condition.In addition,we make forward research to the inversion result through critical pore fluid medium model.The result shavs that the relative error between calaulated and measured density if less than 0.02,and the relative error between calculated and measured velocity is less than 0.1,which proves that the effect of this method is good,and this method has stronger application value.The proposed method of matrix and fluid information inversion statistics in this paper concludes ergodic group statistical analysis of the whole sample and the single sample.Ergodic group statistical analysis of the whole sample reflects sample’s intercommunity.Ergodic group statistical analysis of the single sample reflects sample’s difference,whose correlation coefficient is higher than correlation coefficient of ergodic group statistical analysis of the whole sample.更多还原