基于储层厚度特征的油藏建模粗化方法研究

A Research on Reservoir Modeling Coarsening based on Reservoir Thickness Characteristic

在精细油藏地质建模中,网格越精细模型就越接近实际情况,但由于数值模拟计算量较大,为满足计算效率的要求,精细油藏模型必须采用一定的算法进行网格粗化后才能用于数值模拟的计算。基于对目的层储层厚度特征的研究,确定模型垂向粗化网格尺寸,采用不同的粗化算法对精细油藏地质模型进行粗化,并对相同粗化程度下不同粗化算法获取的地质模型开展误差对比分析,优选出适合实际地质情况的最优粗化算法。分析结果表明:研究区以薄储层为主,算术平均法是适合研究区薄储层发育特征的垂向粗化算法。

The finer the grid of detailed reservoir geological model is,the closer the model approach actual condition will be. However,the simulation number is too large to satisfy computational requirements and the fine reservoir geological model must be coarsened with a certain algorithm to calculate the numerical simulation. In this work,the vertical roughening mesh size of the model was determined on the basis of reservoir thickness characteristics in the study area. Simultaneously,geological models were compared and analyzed by varying coarsening algorithms under the same coarsening degree in order to select the superior rough algorithm. Analysis results demonstrate that the study area is mainly thin reservoir. The thickness of single layer is mainly below 1 m. Arithmetic method is a coarsening algorithm suitable for the development characteristics of thin reservoir in the area.