Review on the of Machine Learning Method and Application in the Geophysical Exploration of Uranium Deposit
Machine learning has the advantages of automation,high accuracy and scalability,which is suitable for big data processing and adaptive tasks.The application of machine learning in geophysical exploration can greatly improve the efficiency and accuracy,promote technological progress,and realize the development of geophysics to intelligent interpretation.This paper first introduced the basic principles and classification characteristics of machine learning in the field of geophysics,such as deep learning,deep neural network,BP neural network,support vector machine and random forest.Secondly,the basic principles of radiometric prospecting,geophysical well logging,metallogenic prognosis and joint inversion are introduced.At the same time,the practical application of machine learning in these four fields is comprehensively analyzed.The results showed that the application of machine learning in these four fields has achieved remarkable practical results.Through the application of machine learning technology,geophysical exploration can achieve more comprehensive,accurate and efficient results,and also promote the continuous progress of geophysical exploration technology.
machine learningradiometric prospectinggeophysical well loggingmetallogenic prognosisjoint inversion
国家科技期刊平台
NSTL
万方数据
