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,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,进而划分出准层序组,此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 curveswere compared. Wavelet analysis can help to identify cycle of high frequency, 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
《中国科技信息》
2012年第11期65-65,91,共2页
China Science and Technology Information
关键词
测井数据
小波分析
db5小波
层序地层学
logging data
wa, velet analysis
db5 wavelet
sequence stratigraphy
