河道砂油藏的自适应非均匀网格粗化算法

以河道砂的观测深度为确定性数据，由贝叶斯理论通过随机楚模的方法楚立横截面为抛物线形状的河道砂油藏边界面，并将渗透率自适应网格技术应用于河道砂油藏的网格粗化算法中。在渗透率或孔隙度交化异常区域自动采用精细网格，用直接解法求解渗透率或孔隙度交化异常区域的压强分布，而在其他区域采用不均匀网格粗化方法计算，印在流体流速大的区域采用精细网格。用本文方法计算了河道砂油藏的压强分布，结果表明河道砂油藏的三维不均匀自适应网格粗化算法的解在渗透率或孔隙度异常区的压强分布规律更逼近采用精细网格的解，在其他区域压强分布规律非常逼近粗化算法的解，但计算的速度比采用精细网格提高了100多倍。

Adaptive nonuniform grid upscaling method of channel reservoir

The bounding surfaces of channel whose cross section is p arabolic shape have been simulated conditioning to hard data(observed data) by B ayesian sto chastic simulation. In this paper, an adaptive grid technology has been applied to up scaling method of 3D fluid equations in porous media. Where the permeabili ty or porosity change is abnormity, the fine grid blocks have been automaticall y adopted and the 3D fluid equations in porous media have been solved by direct method. In the other region the nonuniform upscaling method has been adopted, i .e. using fine grid blocks in the high flow regions of the model. Using the met hod, the pressure distribution of channel reservoir has been calculated. The res ults show that the solutions of nonuniform adaptive upscaling method of channel reservoir are approaching well the solutions of adopting fine grid blocks in t he regions the permeability or porosity being abnormity and matching well with the solutions of adopting coarsen grid blocks in the other region, however, the computation speed of adaptive upscaling method is about 100 times more than th at adopting fine grid block method.