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根据重力数据反演结果的数据类型不同,可将重力反演概括为两类:一类是应用线性或者非线性算法,直接计算成像空间的密度分布;第二类是计算得到一种所谓等效密度,用以勾画重力异常场源分布,称为概率成像方法.相对于第一类方法,第二种方法计算更为简单,反演过程也更为稳定.但在一些应用中,需要获取地下介质的实际密度值,进而通过岩性层析等来确定岩性分布,此时,等效密度反演方法表现出了其局限性.本文从概率密度方法出发,应用一种迭代计算,可完成将概率密度值到实际密度值的转化,同时,增加了反演结果的分辨率.本文应用两个理论模型证明了该方法的有效性.
Gravity inversion can be summarized into two types according to different data types of inversion results of gravity data: one is to directly calculate the density distribution of imaging space by using linear or non-linear algorithm; the other is to calculate a so-called equivalent Density, which is used to describe the distribution of gravity field anomalies, which is called probabilistic imaging method.Compared with the first method, the second method is easier to calculate and the inversion process is more stable.However, in some applications, The actual density value of the medium, and then determine the lithology distribution by lithologic tomography, etc. At this time, the equivalent density inversion method shows its limitation.This paper starts with the method of probability density and applies an iterative calculation to complete The transformation from the probability density value to the actual density value and the resolution of the inversion result are increased.Two theoretical models are used to demonstrate the effectiveness of the method.