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Depth Estimation of Simple Causative Sources from Gravity Gradient Tensor Invariants and Vertical Component

机译:从重力梯度张量不变量和垂直分量的简单原因引起的深度估计

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The gravity gradient tensor (GGT) is deduced from products of second-order derivatives of the gravitational potential. A new method based on the invariants of the GGT has been proposed in this research to interpret gravity data due to sphere, infinite horizontal cylinder and semi-infinite vertical cylinder. The method estimates the depth of these simple causative sources from the multiplication of the maximum of the gravity vertical component by the maximum value of the invariants I 1 to I 2 ratio. To show the reliability and correctness of the estimated depths on 3-D models, the method has been tested using theoretical data with and without random noise. In addition, I have applied the method to a field-data example in Texas, USA and the depth obtained by the present method is compared with those published in the literature.
机译:重力梯度张量(GGT)由重力势的二阶导数的乘积推导得出。本研究提出了一种基于GGT不变性的新方法来解释球体,无限水平圆柱体和半无限垂直圆柱体引起的重力数据。该方法通过将重力垂直分量的最大值乘以不变量I 1 与I 2 的最大值来估算这些简单原因的深度。为了显示3-D模型上估计深度的可靠性和正确性,该方法已使用带有和不带有随机噪声的理论数据进行了测试。另外,我已经将该方法应用于美国德克萨斯州的现场数据示例,并将通过本方法获得的深度与文献中公开的方法进行了比较。

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