Qualitative interpretation is one of the most important missions in geophysical methods, particularly the determination of the shape and depth of disturbing bodies. The characteristics of the gravity field make it difficult to unequivocally determine both of these parameters; therefore, the problem is solved by reducing the shape of the body by means of simple solid figures and on this basis an attempt to estimate their depth. This paper presents an analysis of depth estimation in microgravity surveys. The useful signal-to-error ratio in this survey causes an additional factor influencing the quality of the estimated depths. Werner deconvolution and Extended Euler deconvolution, as the most frequently applied methods, were used to resolving the problem. Based on the Werner method, a processing methodology was developed that minimizes the impact of the error on the calculation results. An algorithm was also created that allows obtaining a depth solution in this method. The results of the Werner method were compared with the results of the Extended Euler method. Tests have shown that despite the relatively high error to amplitude ratio of the anomaly, satisfactory results can be obtained with the appropriate methodology.

定性解释是地球物理方法中最重要的任务之一，尤其是确定干扰体的形状和深度。重力场的特性使得很难明确地确定这两个参数。因此，通过使用简单的实心图形减小身体的形状并在此基础上尝试估计其深度来解决该问题。本文介绍了微重力勘测中深度估计的分析。在该勘测中有用的信噪比会引起影响估计深度质量的其他因素。Werner反卷积和扩展Euler反卷积是最常用的方法，用于解决该问题。根据Werner方法，开发了一种处理方法，可最大程度地减少误差对计算结果的影响。还创建了一种算法，该算法允许使用此方法获得深度解。将Werner方法的结果与Extended Euler方法的结果进行了比较。测试表明，尽管异常的误差与振幅之比相对较高，但使用适当的方法仍可以获得满意的结果。