Method for classifying lithological characters based on energy spectrum angles

Abstract

The invention provides a method for classifying lithological characters based on energy spectrum angles, wherein three components which are potassium, uranium and thorium of an energy spectrum measured value of each sampling point are respectively normally treated, energy spectrum data of the sampling points which are normally treated is converted to be an energy spectrum vector in a three-dimensional reference system, cosines (img file=' dest_path_image002.TIF' wi='38' he='20' / ) of included angles (energy spectrum angle) between the energy spectrum vector of each sampling point and all preset lithologic clustering standard energy spectrum vectors in a work area are counted, a lithologic character corresponding to an initial clustering energy spectrum vector which is a minimum value ((img file=' dest_path_image004.TIF' wi='50' he='20' / )) in the cosines and is less than or equal to an energy spectrum angle judging threshold t is selected as an inference lithological character of the sampling point, and if a minimum value ((img file=' 494274dest_path_image004.TIF' wi='50' he='20' / )) is bigger than the energy spectrum angle judging threshold t, the lithological character of the sampling point is judged to be a new lithological character class. The method for classifying the lithological characters based on the energy spectrum angles can rapidly classify formation lithological characters, effectively reduces shielding effect of a surface shallow layer to underlying bedrock energy spectrum information, and further improves reliability and veracity of lithological character classification.

Description

technical field [0001] The invention relates to the field of using energy spectrum information to assist regional geological surveys, in particular to a lithology classification method based on energy spectrum angles. Background technique [0002] In shallow coverage areas such as forests and grasslands, due to vegetation and soil coverage, there are few bedrock outcrops, and field work in regional geological surveys is more difficult. Hidden rock masses, strata, structures, minerals (chemicals), and the relationship between surface geological phenomena and deep geological structure changes cannot be directly observed and studied; the amount of information obtained by using turning stones or local scattered outcrops is small, the reliability is low, and it is difficult to improve The quality of the mapping. If the bedrock is exposed through engineering, it will greatly increase the cost of work and prolong the working hours. Large-scale construction is also not conducive to...

AI Technical Summary

Problems solved by technology

This method has a high recognition rate of lithology in bare rock areas, but in shallow coverage areas with thin soil layers on the surface, due to the uneven thickness of the soil layer, the shielding effect on the radioactivity spectrum information of the underlying lithology is also different. Therefore, in this case, using this method for lithology classification will not be effective and will produce more false lithology information

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