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Inversion of gravity and gravity gradiometry data for density contrast surfaces using Cauchy-type integrals

机译:使用Cauchy型积分的密度对比度表面的重力和重力梯度数据的反转

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We introduce a new method of modeling and inversion of potential field data generated by a density contrast surface. Our method is based on 3D Cauchy-type integral representation of the potential fields. Traditionally, potential fields are calculated using volume integrals of the domains occupied by anomalous masses subdivided into prismatic cells. This discretization is computationally expensive, especially in a 3D case. The Cauchy-type integral technique makes it possible to represent the gravity field and its gradients as surface integrals. This is especially significant in the solution of problems of modeling and inversion of gravity data for determining the depth to the basement. We demonstate our inversion method based on the Cauchy-type integral for several synthetic models. The results show that the new method is capable of providing high-resolution depth estimation for the sediment-to-basement interface.
机译:我们介绍了一种新的模拟和反演由密度对比度产生的潜在场数据的建模和反演。我们的方法基于潜在领域的3D Cauchy型积分表示。传统上,使用由近代棱镜细胞占据的异常块占据的域的体积积分计算潜在场。这种离散化是计算地昂贵的,尤其是在3D情况下。 Cauchy型积分技术使得可以将重力场及其梯度表示为表面积分。这在解决重力数据的建模和反演的问题方面尤其重要,以确定地下室的深度。我们将基于CAUCHY型的思考方法为几种合成模型进行了展示。结果表明,新方法能够为沉积物到地下界面提供高分辨率深度估计。

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