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首页> 外文期刊>International Journal of Mining and Geo-Engineering >Calculation of One-dimensional Forward Modelling of Helicopter-borne Electromagnetic Data and a Sensitivity Matrix Using Fast Hankel Transforms
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Calculation of One-dimensional Forward Modelling of Helicopter-borne Electromagnetic Data and a Sensitivity Matrix Using Fast Hankel Transforms

机译:利用快速汉克尔变换计算直升机机载电磁数据和灵敏度矩阵的一维正演模型

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The helicopter-borne electromagnetic (HEM) frequency-domain exploration method is an airborne electromagnetic (AEM) technique that is widely used for vast and rough areas for resistivity imaging. The vast amount of digitized data flowing from the HEM method requires an efficient and accurate inversion algorithm. Generally, the inverse modelling of HEM data in the first step requires a precise and efficient technique provided by a forward modelling algorithm. The exact calculation of the sensitivity matrix or Jacobian is also of the utmost importance. As such, the main objective of this study is to design an efficient algorithm for the forward modelling of HEM frequency-domain data for the configuration of horizontal coplanar (HCP) coils using fast Hankel transforms (FHTs). An attempt is also made to use an analytical approach to derive the required equations for the Jacobian matrix. To achieve these goals, an elaborated algorithm for the simultaneous calculation of the forward computation and sensitivity matrix is provided. Finally, using two synthetic models, the accuracy of the calculations of the proposed algorithm is verified. A comparison indicates that the obtained results of forward modelling are highly consistent with those reported in Simon et al. (2009) for a four-layer model. Furthermore, the comparison of the results for the sensitivity matrix for a two-layer model with those obtained from software is being used by the BGR Centre in Germany, showing that the proposed algorithm enjoys a high degree of accuracy in calculating this matrix.
机译:直升机电磁(HEM)频域探测方法是一种航空电磁(AEM)技术,广泛用于电阻率成像的广阔和粗糙区域。从HEM方法中流出的大量数字化数据需要高效且准确的反演算法。通常,第一步中的HEM数据逆建模需要前向建模算法提供的精确而有效的技术。灵敏度矩阵或雅可比行列式的精确计算也至关重要。因此,本研究的主要目的是设计一种有效的算法,用于使用快速汉克尔变换(FHT)对HEM频域数据进行正向建模,以配置水平共面(HCP)线圈。还尝试使用分析方法来得出雅可比矩阵所需的方程式。为了实现这些目标,提供了用于同时计算正向计算和灵敏度矩阵的详细算法。最后,使用两个综合模型,验证了所提算法的计算精度。比较表明,所获得的正演建模结果与Simon等报道的结果高度一致。 (2009年)的四层模型。此外,德国BGR中心正在将两层模型的灵敏度矩阵的结果与从软件中获得的结果进行比较,这表明所提出的算法在计算该矩阵时具有很高的准确性。

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