摘要
根据小波选取原则选择db5小波对测井曲线进行旋回划分,并对不同测井曲线划分的沉积旋回进行对比,充分利用小波分析可以识别高频旋回的特点,首次提出了将小波分析和Fischer图解相结合划分体系域的新方法,并将新方法在牛庄洼陷牛8井沙三上—沙二段地层层序划分中进行了应用。研究表明,db5小波可以将测井信号中的信息分频放大,识别出不同频段的旋回,分别对应不同沉积周期的沉积旋回,进而划分出各级层序单元。新方法在实际应用中得到的结论与实际的地质情况比较吻合。
In terms of the principle of the wavelet selection, db5 wavelet was chosen for the cycle classification of logging curve. The sedimentation cycles classified according to different logging curves were compared. Wavelet analysis can help to identify cycle of high frequency. The method combining wavelet analysis with Fischer plot to divide system tract was developed firstly and successfully applied in the sequence stratigraphy division of the upper part of member 3 to member 2 of Shahejie formation of well Niu 8 in Niuzhuang sag. The results show that db5 wavelet can amplify the data of logging curve by separating frequency, and the cycles of different frequency segments can be identified, which correspond to sedimentation cycles of different depositional periods. Then sequence units of different orders can be divided. The results of the practical application relatively agree well with the actual geological situation.
出处
《中国石油大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2009年第2期18-22,共5页
Journal of China University of Petroleum(Edition of Natural Science)
基金
山东省自然科学基金项目(Y2006E13)
