致密碎屑岩储层预测方法及其应用

Method and Application of Compacted Clastic Rock Reservoir Prediction

针对陆相致密碎屑岩储层勘探的复杂性,以川东GA构造上三叠统须家河组四段储层为例,采用地质与物探相结合的方法进行储层预测研究。确定了其关键测井特征为伽马和声波时差,采用神经网络为基础的地震多属性分析方法进行伽马反演,基于模型的测井约束反演方法进行波阻抗反演,综合两种数据体进行储层描述,刻画出有利储层的平面展布。实际应用结果表明,该套技术紧密结合了多学科方法,具有明显的效果。

As the complicity of compacted clastic rock reservoir exploration,taking T3x4 reservoir of GA structure in east Sichuan for example,reservoir prediction is studied by the geological and geophysical method.Critical logging characteristics are determined as interval transit time and natural gamma ray（GR）.By the seismic multi-attribute analysis and based on Artificial Neural Network,GR inversion is carried out,followed by the acoustic impedance inversion by logging constrained inversion.From the integration of GR and acoustic impedance results,the distribution of favorable reservoir is described.The application shows that the method works effectively because of the combination of multi-discipline methods.