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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 reservoirs account for a large proportion of the global oil and gas resources, and carbonate oil and gas are mainly distributed in the reef banks on the edge of the platform. For the lateral prediction of oolitic beach reservoirs, seismic attribute prediction is the most common method. However, All of the seismic attributes can well reflect reservoir characteristics, of which inevitably involve the problem of attribute preference, but for the work area with few wells, the conventional seismic attribute optimization method can not accurately select the attribute.Therefore, Based on the experience of predecessors, a model-based seismic attribute optimization method is proposed for Shaojing District. Based on the typical seismic profiles of oolitic beach reservoirs, a forward model is established to analyze the relationship between seismic attributes and the thickness of oolitic beach reservoirs. Attribute, which provides new ideas and methods for improving the prediction accuracy of seismic reservoirs in the early stage of exploration.