• 责任者：Xiao Lizhi (Chongqing Shale Gas Research Center ; State Key Laboratory of Petroleum Resources and Prospecting ; Chongqing Institute of Geology and Mineral Resources ; Chongqing 400042 ; China) ; Xie Qingming
• 刊名：Chinese Journal of Geophysics
• 出版年：2013
• 卷期：56(11)
• 关键词：核磁测井 ; nuclear magnetic logging ; 去噪 ; denoising
• 页码：p.3943-3952
• 图表：6 illus., 2 tables, 24 refs.
• 分类号：1600
• issnNo：ISSN0001-5733
• isbnNo：CN11-2074/P

     NMR logging works under harsh conditions of high temperature and high pressure. The objective volume is usually very small and the echo amplitude is weak. The signal-to-noise ratio （SNR） is low and affected by complicated noise sources. As a result, the NMR signal is usually buried in the noise. Noise suppression is implemented with the proposed Regularization- Heursure （R-Heursure） algorithm aiming at the detail coefficients. The selection of the regularization factor is related to the pore structure characteristics and raw SNR of NMR logging data, which is just above noise statistics level and maintains the information of micro-pore as well. The optimal mother wavelet function, vanishing moment and decomposition level are optimazed based on maximum energy of correlative coefficients. Numerical simulation and case studies with NMR logging data processing show that SNR can be improved effectively with the proposed algorithm.