泥页岩储层裂缝识别与有效性评价研究
Well Logging Technology(2015)
Abstract
泥页岩油藏具有自生自储的特征,既是烃源岩又是储层,其储层类型主要为硅质、钙质含量高的层段和裂缝发育段.根据测井和录井资料系统总结了裂缝成因及类型,以声波、自然伽马和微球聚焦电阻率测井为基础,通过小波多尺度分解、阈值去噪和最大熵预测误差分析提取裂缝信息,将裂缝信息归一化和加权组合,计算出裂缝发育综合指标,把裂缝发育程度分为3个等级:发育、欠发育和不发育,处理结果表明裂缝发育等级与钻井取心吻合较好.针对泥页岩储层与常规储层的差异,利用总有机碳含量(TOC)、岩石脆性指数和裂缝发育程度给出有效储层的评价标准,把储层分为3类.预测结果与压裂后试油结论吻合较好,表明该方法可行.
MoreKey words
log interpretation,shale,wavelet transform,maximum entropy prediction error,fracture identification,validity prediction
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined