Research On The Calculation Method For Solving The Original Position Of Gravity And Magnetic Tensor Field

The main goal of gravity and magnetic exploration is to calculate the location of the field source and the distribution of underground density.Gravity and magnetic full tensor gradient data can more accurately describe the distribution and shape of geological bodies due to its large amount of information,high accuracy,and low interference.It has been valued in the field of geophysics.This article aims at the traditional Euler deconvolution method which is greatly affected by the background field,while the existing full tensor Euler deconvolution method is just a stack of the original method without fundamentally solving the problem of the background field.A gradient is proposed.Tensor Euler deconvolution method,the article compares the difference in the application effect of tensor Euler deconvolution and traditional Euler deconvolution in calculating the location of the field source,and compares the Euler deconvolution under different tensor combinations The calculation effect explores the application advantages of the gravity and magnetic gradient full tensor data in calculating the field source position.The actual data display method of the Vinton Salt Dome has a certain application effect.Aiming at the problem of traditional DEXP field source position imaging methods that are greatly affected by the background field and the horizontal resolution is not high,this article proposes a DEXP imaging method using full tensor combination,which makes good use of the full tensor data.The characteristics of higher horizontal resolution and greater amount of information can make the imaging results more convergent,and the calculated depth of the geological body is more accurate.The model test representation method has a higher horizontal resolution than the DEXP imaging method based on the original anomaly.,The experimental results of the actual area data in the Vinton Salt Hill are also more consistent with the existing research results,which proves the applicability of the method to a certain extent.Different from the previous calculation of the field source position mainly by solving the mathematical and physical equations between the anomaly and the field source position,the article proposes a deep learning technology based on the gravity and magnetic gradient ratio to solve the field source position,which uses deep learning technology to establish the gravity and magnetic gradient ratio The relationship between the horizontal distribution and the buried depth of the geological body and the structural index.According to the model after the training is completed,the field source position corresponding to the anomaly is obtained,and the use of multiple extreme points of the gradient ratio of different coefficients is proposed for deep learning.The information of geological bodies can be calculated more accurately and stably.The method can calculate the center position of the geological body under complex conditions,and at the same time,it does not require the screening steps required for the solution of conventional linear equations.When calculating the field source position corresponding to the magnetic anomaly,the magnetic anomaly of remanence is considered,so the depth of the analytical signal form is adopted.Learn methods to perform position inversion.Theoretical model tests show that the deep learning model using gradient ratio can accurately calculate the depth of geological bodies.Using multiple extreme points of gradient ratios with different coefficients to conduct deep learning simultaneously can reduce the error caused by noise in the calculation results,and finally obtain more accurate location of geological bodies.The method used to test the actual area data of the Vinton Salt Hill is basically consistent with the results of the previous two chapters,indicating that the model based on the deep learning method is effective in the actual area data model.