少井区鲕滩储层敏感地震属性优选及预测

Oolitic reservoir sensitive seismic attributes optimization and prediction in less well work area

全球油气资源中碳酸盐岩油气藏所占比重很大,碳酸盐岩油气主要分布在台地边缘的礁滩中,对于鲕滩储层横向预测,以地震属性预测方法最为常见.然而并不是所有的地震属性都能很好的反映储层特征,这其中必然要涉及到属性优选的问题.但是对于井位很少的工区,常规的地震属性优选方法无法准确的优选属性.因此本文在结合前人经验基础上,提出少井区基于模型的地震属性优选方法,根据鲕滩储层典型的地震剖面,建立正演模型,分析地震属性与鲕滩储层厚度之间的关系,进而优选地震属性,为提高勘探前期区块的地震储层预测精度,提供了新的思路和方法.

Carbonate rock reservoirs have a great proportion in global oil and gas resources, carbonate rock reservoirs are mainly distributed in the reef and oolitic which are on the edge of the platform. Using seismic attributes to predict reservoir is most popular in oolitic reservoir horizontal prediction. We must optimize seismic attributes firstly, because not all the seismic attributes can describe the features of reservoirs. However the common optimization methods cannot select seismic attributes exactly in less well work area. This paper combines with previous researches and proposes the new seismic attributes optimization method in less well work area, this method is based on model. Firstly building model according to the typical seismic profile of oolitic reservoirs, optimizing attribute by analyzing the relationship between seismic attributes and oolitiic reservoir＇s thickness, this method provided new idea to improve the accuracy of reservoir prediction in pre-exploration area.