In the process of ultra-deep oil and gas exploration,it is difficult to identify reservoir lithology combination due to the high cost and small number of real drilling and the strong multi-solution of logging curves,which further affects the accuracy of sedimentary facies and reservoir sweet spot prediction.Based on the wavelet transform of natural gamma curve,the logging signals are decomposed by discrete wavelet,and the characteristics of lithologic combinations corresponding to different energy groups on the time-frequency energy diagram are summarized.Taking the ultra-deep tight sandstone reservoir of Zheng l well in Zhengshacun area of Junggar basin as an example,through the discrete wavelet transform analysis of natural gamma curve with sensitive parameters of mud content,the identification of different lithologic combinations with appropriate scales is made.This method has the value of popularization in the same type of reservoir.
关键词
深层油气/离散小波变换/岩性组合识别/自然伽马/小波时频能量图/准噶尔盆地
Key words
deep oil and gas/discrete wavelet transform/lithologic association identification/natural gamma/wavelet time-frequency power imaging/Junggar basin
维普
万方数据