基于双相介质的流体识别因子构建及应用

随着油气勘探难度的不断加大,对储层预测精度的要求也越来越高。为了更好地进行流体识别与储层预测,提出了两种基于双相介质的流体识别因子Aρ和Nρ,Aρ和Nρ的构建包含快纵波速度、横波速度、密度、孔隙度和流体信息,综合考虑了岩石骨架和孔隙流体的影响,更接近储层的实际地质情况。在Hilterman 3类砂岩和实际测井数据中的应用结果均表明Aρ和Nρ具有高灵敏度、高精度的特点,在储层孔隙度远小于围岩孔隙度的情况下,仍能很好地进行流体识别。

Along with the increasing demands of oil and gas exploration, more accurate reservoir prediction methods are needed. In order to identify fluid and predict reservoir better, two fluid identification factors Aρ and Nρ based on porous media are proposed. Aρ and Nρ contain the information of the velocity of fast P-wave, velocity of S-wave, density, porosity and porous fluid, so the two factors have taken the impact of rock matrix and porous fluid into consideration and are more similar to the actual reservoir conditions. Applications in Hilterman sandstone and actual log data show that Aρ and Nρ have the characteristics of high sensitivity and high accuracy to predict reservoir. Even in case that reservoir porosity is much smaller than surrounding rock porosity, they can still identify fluid quite well.