The Study On Visualization And Modeling Methods Of Magnetic Anomalies With Multi-Parameters

Magnetic anomaly data are very valuable in the field of resource exploration, deep subsurface geology and geophysics research. This dissertation focused on how to improve inversion effect through magnetic gradient component associate with other parameters. It made use of some new technoledge, such as human-computer interaction and visualization. It carried out some significant research work on magnetic anomaly parameters and 3D geology modeling.One of the research points was about computation of magnetic anomalies and gradients for spatial arbitrary posture regular body. After defining three angles of slantwise shape-regular body and rotation of coordinate system, it deduced the new magnetic anomalies expressions of gradient component and other parameter for spatial arbitrary posture regular bodies. There are total 16 components in magnetic anomaly. There are some key points such as the rotation method of coordinate system,technique of inverse transform and formula of magnetic components.The second study point was about the methods of anomaly gradient forward computation and mathematical modeling for homogeneous polyhedral composed of triangle facets. On the base of magnetic field formula, it employed the theory between the transformation of magnetic field and that of their first derivative. Then it deduced the analytical expressions for gradient tensors of polygon. We designed the boundary models represented by triangle facets in order to suit the demand of the magnetic inversion. The modeling pattern was an algorithm of a simple polygon triangulation which contained independent data structure and topology organization.Then, the data domain paralleled algorithm was presented. It applied data partition, parallel running and data sewing technique. In this procedure, one smart number'N'was produced automatically by reason of algorithm evaluating the actual core number of CPU on working machine. The data region was divided synchronously into N segments. Obviously, they need N task-threads to process each segment. Then the data sewing technique solved the problem of merging segmentation results.It is worth to utilizing fore-mentioned achievement to develop practical software. One goal software is completed. It included gradient forwarding, geology modeling and human-computer combinational inversion, and so on. The human-computer interactive method and optimization selection strategy was used in this inverse interpretation software system.The main results and innovations in this paper are shown as follow,1) This paper proposed one method of quick magnetic anomalies forward computation for slantwise shape-regular geo-body.2) The special data structure for an arbitrarily shaped 3D body was designed.3) The multi-thread parallel computation realization based on magnetic data segmentation tasks.4) One software named"Visualization System of Inversion Interpretation for Magnetic Anomalies with Multi-Parameters"is completed.In a word, this doctoral dissertation has improved magnetic method from using single parameter to utilizing multi-parameter, the working dimension from 2D to 3D. It was significant in enhancing magnetic inversion method and improving interpretation effect.