LEAST SQUARE SMOOTHING ALGORITHM AND GAUSS DECOMPOSITION SPECTRAL ANALYSIS METHOD IN SPECTRAL GAMMA RAY LOGGING

摘要：

　　In the exploration of deep mineral resources, natural gamma spectrometer logging technology is a method which can realizes qualitative and quantitative analysis of deep underground radioactive elements.However, the low energy resolution of natural gamma ray spectrometry logging results in low reliability of distinguishing the radioactive element, therefore the study of spectral analysis method is particularly important.In this paper, the least square smoothing algorithm and the Gauss decomposition method are studied.The results show that the third order polynomial with 5 points smooth window has a good smoothing effect on the spectral data.The spectrum processed by using of the Gauss decomposition method is affected by the separation degree and the peak to height ratio.It is fast and accurate to choose the Gauss decomposition method to solve the spectral data when the separation degree of overlapping peaks is greater than 0.4, and the difference of peak heights are large.This paper provides the basis for the application and selection of the generally analytical method in the actual logging processing, which is of great significance.

关键词： Gauss decomposition method Least square smoothing algorithm Separation degree Peak to height ratio Spectral gamma ray logging

作者: Chi CHENG De-long XU Xiu-ming WANG

作者单位: University of Chinese Academy of Sciences, Beijing, 100049;State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190;Beijing Engineering Research Center of sea deep drilling and exploration, Beijing, 100190

会议类型: 国际会议

会议名称: The 2017 Symposium on Piezoelectricity,Acoustic Waves and Device Applications(2017全国压电和声波理论及器件技术研讨会)

会议地点: 成都

会议语种:英文

页码: 458-462

在线出版日期: 2017-10-27（万方平台首次上网日期，不代表论文的发表时间）