基于模糊逻辑的多属性融合油气预测方法

地震属性与储层参数不存在严格的一一对应关系，这就导致仅用单一属性解释储层不可避免地存在多解性。在利用属性进行储层预测过程中，单一属性或综合属性能否指示含油气情况，往往没有绝对分明的界限，即存在模糊性。为此，本文提出基于模糊逻辑的多属性融合方法，即将模糊理论应用于属性融合，利用隶属函数将模糊问题进行定量化处理，通过模糊贴近度矩阵求取各自的权重，最终得到一个定量的综合结果。属性融合过程中各种属性权重的求取完全基于数据驱动，降低了人为操控的主观性。数值模拟试验和实际资料处理结果均显示，用本文方法所得融合结果与井资料能较好吻合，表明利用本文提出的基于模糊逻辑的多属性融合方法进行油气预测是有效且实用的。

Automatic matching of seismic and logging data

We propose in the paper an automatic matching method of seismic and logging data in viscoelastic media for high accuracy time-depth curve in seismic calibration with logging data. In the view of the differences between logging and seismic observations, we analyze factors which affect matching synthetic seismogram and near-well seismic traces, and propose a method for automatically matching seismic and logging data in viscoelastic media. It includes the process of rough frequency matching, as well as fine frequency matching between them. This method can obtain precise phase velocity of seismic wave. Applications of the method in Kenly area, Shengli Oilfield prove its validity with good results.