Research And Application Of Gravity And Magnetic Data Fusion Method In Jining,inner Mongolia

Jining,Inner Mongolia,is one of the important metallogenic regions in China,where many large-scale metal deposits have been discovered and put into mining.However,with the deepening of exploration,a large amount of gravity and magnetic data have accumulated in this area.Due to different observation time and methods,there are many differences in these data,such as range,scale and so on.How to fully excavate the information in these different gravity and magnetic data is one of the important steps to reprocess and reunderstand the accumulated data.Aiming at this problem,the thesis carries out the study of the application of the least square collocation data fusion method in gravity and magnetic data fusion,and applies it to the fusion processing of gravity and magnetic data in different ranges and scales measured in Jining,Inner Mongolia.The details of key exploration areas can be supplemented by a small range of data while retaining a large range of data information to the maximum extent,which can reflect a large range of background features and reveal local details at the same time.In terms of data fusion methods research,the thesis divides the fusion modes into different observation planes data fusion and different scales data fusion.Based on different fusion modes,the basic principle of the application of the least square collocation method is discussed and analyzed,mainly for the solution of local covariance model.At the same time,the parallelization of the algorithm is proposed to upgrade the computing speed of the traditional one.On the basis of theoretical research,the fusion effect of the two fusion modes is analyzed by model tests,and the applicability of the least square collocation method in different modes is verified.In the aspect of measured data processing,the gravity and magnetic data of different ranges and scales measured by the project team in the early stage in Jining research area of Inner Mongolia are fused based on the least square collocation method,which can effectively make use of the known gravity and magnetic data of study area,and make a supplement of the key exploration area based on the retaining of the wide range of background information as much as possible.In order to explore the impact of the fusion data obtained on the subsequent processing and interpretation,the original data and the fused data in the research area are studied and analyzed by data processing methods such as potential field separation and edge enhancement.And in terms of accuracy,the advantages of fused data relative to the original one are compared with the original data from various aspects,which shows that the reliability of the follow-up measured data processing is improved to a certain extent.The theoretical model tests and the application of measured data in the Jining area show that the least square collocation method can be effectively applied to the fusion of gravity and magnetic data,and make full use of the information in gravity and magnetic data to achieve the purpose of data reprocessing and reunderstanding,so as to serve the application requirements of subsequent exploration work.