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GCH_gravinv: A MATLAB-based program for inverting gravity anomalies over sedimentary basins

机译:GCH_gravinv:基于MATLAB的程序,用于反演沉积盆地上的重力异常

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摘要

This paper presents a Matlab-based program GCH_gravinv including an easy-to-use graphical user interface (GUI) for determining the depth to the basement of a sedimentary basin derived from inverting its gravity anomalies by an iterative procedure. The developed code uses an advanced iterative rapid algorithm based on the combination of the FFT-based algorithm of Granser and the space domain technique of Cordell and Henderson. As an advantage, this combination performs a fast computation with high precision and the inversion scheme does not require a mean depth or low-pass filtering. Given the required density contrast varying exponentially with depth and a pre-assigned criterion for the termination of the iterative procedure, the GUI allows the user an instant view of the convergence between the observed and inverted anomalies. The feasibility of the proposed algorithm is demonstrated on synthetic data from a 3D model where the obtained results coincide well with the actual depths. The inversion of a real gravity anomaly over Chintalapudi subbasin (India) is presented to compute the basement depths as a practical example. The obtained results from the real data application are in agreement with published information available for the study area.
机译:本文介绍了一个基于Matlab的程序GCH_gravinv,该程序包括一个易于使用的图形用户界面(GUI),用于确定通过迭代过程反演其重力异常而得出的沉积盆地基底的深度。开发的代码使用了先进的迭代快速算法,该算法基于Granser的基于FFT的算法与Cordell和Henderson的空间域技术的结合。优点是,这种组合可以高精度进行快速计算,并且反演方案不需要平均深度或低通滤波。给定所需的密度对比度随深度和预先指定的终止迭代过程的标准呈指数变化,GUI允许用户即时查看观察到的异常和反转异常之间的收敛。在3D模型的合成数据上证明了该算法的可行性,其中获得的结果与实际深度非常吻合。作为一个实际的例子,提出了一个对印度Chintalapudi盆地的真实重力异常的反演,以计算地下室的深度。从真实数据应用程序获得的结果与可用于研究区域的已发布信息一致。

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