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An Automatic Method of Direct Interpretation of Residual Gravity Anomaly Profiles due to Spheres and Cylinders

机译:直接解释球体和圆柱体引起的残余重力异常轮廓的自动方法

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摘要

We have developed a least-squares minimization approach to determine the depth and the amplitude coefficient of a buried structure from residual gravity anomaly profile. This approach is basically based on application of Werner deconvolution method to gravity formulas due to spheres and cylinders, and solving a set of algebraic linear equations to estimate the two-model parameters. The validity of this new method is demonstrated through studying and analyzing two synthetic gravity anomalies, using simulated data generated from a known model with different random error components and a known statistical distribution. After being theoretically proven, this approach was applied on two real field gravity anomalies from Cuba and Sweden. The agreement between the results obtained by the proposed method and those obtained by other interpretation methods is good and comparable. Moreover, the depth obtained by the proposed approach is found to be in very good agreement with that obtained from drilling information.
机译:我们已经开发出最小二乘最小化方法,以根据残余重力异常剖面确定埋藏结构的深度和振幅系数。这种方法基本上是基于将Werner反卷积方法应用于球体和圆柱体引起的重力公式,并求解一组代数线性方程组以估计两个模型参数。通过使用从具有不同随机误差成分和已知统计分布的已知模型生成的模拟数据,研究和分析两个合成重力异常,可以证明这种新方法的有效性。在理论上得到证明之后,该方法被应用于来自古巴和瑞典的两个真实场重力异常。通过所提出的方法获得的结果与通过其他解释方法获得的结果之间的一致性是良好且可比较的。而且,发现通过所提出的方法获得的深度与从钻井信息获得的深度非常一致。

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