摘要
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。
Shale is not only source rock but also reservoir rock with self-generation and selfreservoir.Reservoir types are mainly high siliceous and calcium content and fracture development of the layer.According to the well logging data and mud logging information,we systematically analysis the fracture factor and characteristics.Based on sonic,gamma and resistivity of the micros pheres focused,through multi-scale wavelet decomposition,threshold de-noising and maximum entropy prediction error analysis, we extract fracture information. And crack information will be normalized and weighted to calculate the fracture development comprehensive index.And the degree of fracture development is divided into three levels:well development,general development and not development,processing results show that the fracture development level is in good agreement with the coring.For the difference between shale reservoirs with conventional reservoir,we use the organic carbon content of TOC,rock brittleness index and the degree of fracture development to establish the standard of validity prediction,and the reservoir is divided into three categories.Prediction results are in good agreement with testing results,showing the feasibilityof the method.
出处
《测井技术》
CAS
CSCD
2015年第5期611-616,共6页
Well Logging Technology
关键词
测井解释
泥页岩
小波变换
最大熵预测误差
裂缝识别
有效性评价
log interpretation
shale
wavelet transform
maximum entropy prediction error
fracture identification
validity prediction