Joint Inversion Method Of Gravity And Magnetic Data Based On Fuzzy C-Regression Models Clustering Algorithm And Its Applications

Gravity and magnetic geophysical exploration has the advantages of low difficulty and low cost,and is widely used in the exploration of various mineral resources.However,it is difficult to obtain a model that can accurately reflect the structure and physical properties of underground targets by gravity and magnetic inversion,and the inversion model is one of the foundations of geological interpretation.In this paper,a joint inversion method of fuzzy C-regression models(FCM)clustering algorithm is proposed,which can improve the efficiency of gravity and magnetic inversion and the reliability of inversion results.It has a certain practical reference value for gravity and magnetic exploration in non-ferrous metal mines.The main research work and achievements of this paper are as follows:(1)The effects of each weighted parameter of fuzzy C-means clustering inversion algorithm of classical Tikhonov regularization inversion and its influence on inversion results are analyzed,and the method of alternating searching weighted parameters is applied to select the optimal weighted parameters.(2)The joint inversion module of gravity and magnetic data based on fuzzy Cregression models clustering is realized,and the inversion is accelerated by various methods in programming.The joint inversion of gravity and magnetic data under linear relationship is studied,and the linear conjugate gradient method is used to minimize the objective function,which improves the inversion efficiency compared with the traditional Gauss Newton method in cluster inversion.(3)Different models of joint inversion program of gravity and magnetic data are constructed.By comparing and analyzing the inversion results of traditional constraints,the results show that joint inversion is better than single inversion.Re-weighted inversion method is adopted to improve the recognition rate of deep geological bodies by gravity and magnetic inversion program.The objective function of reweighted FCRM joint inversion is derived,and the inversion result of the program compiled by this objective function is closer to the real model.