多参数储层流动单元识别是深水浊积水道研究的发展方向,其中判别参数的选择是多参数流动单元识别的关键。以西非尼日尔三角洲深水浊积水道储层为例,结合开发中的动态资料,优选了泥质含量、孔隙度和渗透率三个判别参数。运用快速聚类分析的方法,将储层划分为A,B,C,D四类流动单元,并通过判别分析建立了流动单元的判别函数。最后根据流动单元的判别函数进行了流动单元的单井解释,在沉积相研究的基础上分析了深水浊积水道储层流动单元的剖面与平面分布规律。研究表明:A类和B类流动单元储层质量最好,一般在水道体系的中部和浊积水道的主体较为发育。在水道体系演化过程中,不同期次的浊积水道迁移与叠置样式以及发育规模的不同,导致内部流动单元分布样式和类型存在差异,平面非均质性很强。
Taking the deep-water channel reservoir of Niger delta in West Africa as example, this study shows how the multi-parameter technology was applied to discriminate different flow units in deep-water turbidity channel reservoir. By selecting mud content, porosity and permeability for considering parameters and by cluster analysis, we divided four kinds of flow units (A, B, C, D) of the deep-water turbidity channel reservoir in the Neger delta. Meanwhile, we established the model of flow units in the method of cluster analysis. Based on the model analysis, we interpreted the flow units in the single well and discussed their spatial distribution of flow units. Our study shows that the reservoir quality of flow units (A and B) distributing in the middle of channels are the best. The distribution characters of flow units in single channel may be different due to different development of deep-water turbidity channel.