地震相裂缝分级技术在储层预测中的应用

摘要：如何预测碳酸盐岩裂缝储层一直是裂缝型油气藏勘探开发关注的重点。针对裂缝储层，目前常用地震反射倾角、相干和最大曲率属性进行裂缝识别。地震反射倾角、相干属性通常用于检测大的断裂，最大曲率属性用于描述微断裂体系。单一地震属性分析具有多解性，裂缝地震相分析技术将三者融合，通过聚类分析计算, 提取出与断裂、裂缝相关的特征，对断裂–裂缝进行识别，并在地质尺度上进行分级，预测裂缝分布规律和发育程度。钻井、成像及动态资料验证分析表明，该方法能识别出中东某油田目的层段 80% 的裂缝带，有效地解决了该油田裂缝型储层预测难题。

Application of Seismic Facies Technique for Fracture Classfication inReservoir Prediction

Abstract：Carbonatefracture reservoirpredictionisthe keypoint ofpetroleum exploration and production. At present，seismicreflection dip，coherence and maximum curvature are the common attributes to predict fracture reservoir. Seismic reflectiondip and coherence attributes are used to detect faults and large fractures. Curvature attribute is usually used to describe thefractures. While single seismic attribute usually has multiple solutions，seismic facies technique for fracture classificationintegrates multiattributes by Clustering Analysis，which extracts the common features of the faults and fractures of the seismicdata. The faults and fractures are detected and classified by seismic facies classification. In order to verify the reliability ofthe prediction，the results is further confirmed by drilling，MFI and dynamic data. This method is capable of detecting 80%fractures of a Middle East oilfield in the target formations，which improved the success of the reservoir prediction greatly.