Research on the automatic identifying method for sedimentary rocks in uranium logging based on wavelet transform
Core free drilling is an inevitable trend in the development of uranium exploration.This article focused on the method of lithology identification with logging uranium based on wavelet transform,which can provide complete lithology data for geology study and meet the needs of precise interpretation for practical production in the field.Firstly,the intersecting plots of different logging curves was depicted for different lithology so as to determine the most sensitive logging curve of different lithology with three lateral resistivity curve;then the wavelet transforms was preformed on the three normalized lateral resistivity logging curves with different wavelet functions and decomposition scales,and the Haar wavelet function and 5-layer decomposition were found the optimal by comparing its result with geological documentation record;next,the Haar wavelet function and 5-layer decomposition were used to process the normalized three lateral resistivity curve and obtain the low-frequency wavelet coefficients after 5-layer decomposition.Finally,the stratigraphic and lithological data of the study block were used to calculate the different weighting coefficients for different lithology and automatically identify the stratigraphic lithology.The effectiveness and accuracy of this method were verified by the drilling and logging data of a basin.