三维大地电磁矢量有限元建模的直接解法

IF 0.5 Q4 MULTIDISCIPLINARY SCIENCES Journal of Mathematical and Fundamental Sciences Pub Date : 2019-04-30 DOI:10.5614/J.MATH.FUND.SCI.2019.51.1.7
Rudy Prihantoro, D. Sutarno, N. Nurhasan
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引用次数: 2

摘要

随着勘探工作日益深入复杂三维构造环境、难度越来越大的地区,三维大地电磁建模的重要性对大地电磁资料的正确解释至关重要。为了降低三维模型带来的计算复杂度,采用MT响应函数的迭代正演计算作为三维MT数据反演的基础。本文提出了一种制作可靠的用于正演计算的三维MT建模代码的替代程序,该程序不仅有效而且准确。这是通过在矢量有限元方法中使用直接方法来求解离散化过程中产生的线性系统来实现的。矢量有限元方法以其克服由于材料特性的不连续面上的法向分量可能的跳跃而造成的建模困难的能力而闻名。同时,由于采用直接法而不是迭代法,求解线性方程的过程不会出现收敛缓慢的问题。在这里,我们比较了我们的建模代码和基于不同方法的代码。在得到的三维MT响应中,发现该方法具有较高的精度。
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Direct Method Solution of 3-D Magnetotelluric Modeling Using Vector Finite Element Method
As exploration is forced into more difficult areas with complex three-dimensional (3-D) structural environments, the importance of 3-D magnetotelluric (MT) modeling is essential for the correct interpretation of MT data. To reduce the complexity of the calculations introduced by 3-D models, iterative forward calculation of MT response functions is used as basis for inversion of 3-D MT data. This paper proposes an alternative procedure for making reliable 3-D MT modeling codes for forward calculation that is not only effective but also accurate. This is accomplished by using a direct method to solve the linear systems arising from the discretization process in the vector finite element approach. The vector finite element method is known for its capability of overcoming difficulties in modeling caused by possible jumps of normal components across discontinuities of material properties. Meanwhile, by using a direct method rather than an iterative method, the process of solving the linear equations does not suffer from slow convergence. Here, we present a comparison between our modeling codes and codes based on a different approach. In the resulting 3-D MT responses it was found that the proposed method has high accuracy.
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
0
审稿时长
24 weeks
期刊介绍: Journal of Mathematical and Fundamental Sciences welcomes full research articles in the area of Mathematics and Natural Sciences from the following subject areas: Astronomy, Chemistry, Earth Sciences (Geodesy, Geology, Geophysics, Oceanography, Meteorology), Life Sciences (Agriculture, Biochemistry, Biology, Health Sciences, Medical Sciences, Pharmacy), Mathematics, Physics, and Statistics. New submissions of mathematics articles starting in January 2020 are required to focus on applied mathematics with real relevance to the field of natural sciences. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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