Study Of3D Focusing Inversion Of Gravity Gradient Tensor Component Data

The resolution of higher order derivative of gravitational potential is higher thangravity, it has the special function of detection for small geologic body. In recent years,airborne gravity gradient measurement system and interpretation techniques havemade great progress, the observation areas of the gravity and gradient data arewidespread day by day, and the applications of the data continue to expand, theinversion of gravity gradient anomaly and explanation method research requested alot of works.In the thesis, based on the study of related documents and material recent years,the forward formula of gravity gradient anomaly has been deduced. The authorfocuses on the three-dimensional gravity gradient anomaly focusing inversion method.By using the reweighted conjugate gradient algorithm to resolve the optimal value oftarget function, the thesis improves the issue of low depth resolution of the gravitygradient inversion.Compare the results of focusing inversion and the traditional minimum lengthmodel inversion, the focusing inversion of gravity gradient results is more similar tothe theoretical model than the traditional way. The method of how to select thefocusing parameter has been discussed in the thesis, on the base of the theoreticalanalysis and model test, the thesis determines the optimal focusing parameters’magnitude range, discusses the relationship between the model complexity andfocusing parameters, the effect of small changes in parameters for focusing inversionand sensitivity of different gravity gradient component for focusing parameters.Analyse single component inversion and composition component inversion results,it’s clear that composition component inversion can get better results than singlecomponent inversion, because the results is more similar to the theoretical model.Compare different number of gravity gradient components inversion results, when thedata inversion can get a better horizontal and vertical resolution, and then continue to increase the gradient components does not further improve the anti-speech results.