利用Matlab对半无限平板重力数据进行反演

IF 0.3 Q4 EDUCATION, SCIENTIFIC DISCIPLINES Jurnal Pendidikan Fisika Indonesia-Indonesian Journal of Physics Education Pub Date : 2019-07-26 DOI:10.15294/jpfi.v15i2.21937
A. Adhi, S. Sismanto, A. Setiawan
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引用次数: 1

摘要

利用Matlab对重力反演数据进行了半无限平板的建模。重力数据的反演是通过首先确定模拟数据来完成的。正向建模使用模拟数据来产生用参数n0(1)、n0(2)、no(3)和n0(4)表示的初始猜测反演模型。通过使用雅可比矩阵的迭代,对不匹配的值尽可能小的下一个初始猜测执行正向建模。反演结果的准确性由初始猜测和迭代次数决定。所获得的结果表明,与高级建模相比,反演建模在反演建模过程中更有效,因为所寻求的参数值是从观测数据的数学观测中生成的。猜测极大地影响所获得的反演结果。初始猜测以参数n0(1)、n0(2)、no(3)和n0(4)的形式给出。对参数n0(1)和n0(2)的初始猜测变得非常偏离,不影响反演。对参数n0(3)和n0(4)的初始猜测会影响由非常小的RCON值引起的反演,因此结果为NAN
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Invers Modeling Gravity Data for Semi-Infinite Slab Using Matlab
Semi-infinite slab modeling has been made through inverse data gravity using Matlab. Inversion of gravity data is done by first determining the simulation data. Forward modeling uses simulation data to produce an initial guess inversion model expressed with parameters n0 (1), n0 (2), n0 (3) and n0 (4). The forward modeling is performed on the next initial guess that the value of the misfit is as small as possible through an iteration using the Jacobian matrix. Accuracy of inversion results is determined by the initial guess and the number of iterations. The results obtained show that inversion modeling is more valid in the inversion modeling process compared to advanced modeling, because the value of the parameters sought is generated from mathematical observations of the observation data. Guesses greatly affect the results of inversions obtained. Initial guesses are given in the form of parameters n0 (1), n0 (2), n0 (3) and n0 (4). The initial guess for the parameters n0 (1), and n0 (2) that are made far deviant does not affect inversion. The initial guess for the parameters n0 (3), and n0 (4) that are made deviating far influences the inversion caused by a very small RCON value so that the result is NAN
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33.30%
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审稿时长
24 weeks
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