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Identification of uncertainties in the shape of geophysical objects with level sets and the adjoint method

机译:用水平集和伴随法识别地球物理物体形状的不确定性。

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摘要

A shape reconstruction method for geophysical objects by temperature measurements is presented which uses adjoint equations and a level set function approach. Temperature is measured on subdomains, e.g., representing boreholes. This information is used to reconstruct the shape of the geophysical layers. For this purpose, shape optimization techniques are applied. The method uses a representation of the layers by a so-called level set function. The evolution of this level set function is then used to determine the optimal shape. The "speed" of the evolution is computed using adjoint equations. Synthetic examples demonstrate the use of the inverse method and its behavior in different configurations.
机译:提出了一种利用伴随方程和水平集函数方法通过温度测量对地球物理物体进行形状重构的方法。在例如代表钻孔的子区域上测量温度。该信息用于重建地球物理层的形状。为此,应用了形状优化技术。该方法通过所谓的水平集功能使用层的表示。然后使用该水平集函数的演变来确定最佳形状。演化的“速度”是使用伴随方程式计算的。综合示例说明了逆方法的使用及其在不同配置中的行为。

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