河道储集层建模的改进和扩展

Improvement and Extension of Fluvial Reservoir Modeling

提出一种新的进行储集层沉积相建模的河道模型,该模型扩展了对河流分叉、交汇等现象的描述和模拟,根据改进河道模型的特点和河道的地质地理特征,尝试了一种新的河道模型条件化算法,并利用河道模型与砂岩概率模型相结合的方式实现了协同布尔模拟。实例应用表明,改进的河道模型包含了更为全面的地质信息,其实用性更为广泛;新的条件化方法从河道的上游、下游和支流三个角度进行,对河流沉积的描述更为准确,算法简洁,速度明显提高;通过协同布尔模拟可以使沉积相建模有效结合多方面的次级信息以降低储集层模型的不确定性。

A novel fluvial model for reservoir sedimentary facies is presented, which is characterized by extensional description and simulation of fluvial forking and crossing phenomena. According to the features of modified fluvial model and fluvial geology and geography, a new conditioning algorithm for the model is adopted, realizing co-Boolean simulation, in which combined with sand probability model. The case study shows that the modified fluvial model contains more abundant and practical geologic information, with which the description of the fluvial deposit is more accurate, simple and fast, including upstream, downstream and branch channel. Thus, the co-Boolean simulation could allow the sedimentary facies modeling to effectively decrease uncertainty of the reservoir modeling by integrating with secondary information.