基于快速模拟退火的Talwani模型重力反演

IF 0.5 Q4 MULTIDISCIPLINARY SCIENCES Journal of Mathematical and Fundamental Sciences Pub Date : 2019-08-06 DOI:10.5614/J.MATH.FUND.SCI.2019.51.2.7
W. Srigutomo, M. Heriyanto, M. H. Aufa
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引用次数: 3

摘要

一些作者提出了估计地球物理模型参数的全球方法,包括它们在重力解释中的应用,目前重力解释仅限于简单和固定的几何问题。本文提出了快速模拟退火(VFSA)在二维重力解释问题中的实现,这一问题目前还很少得到解决。将建模域划分为较小的子域,并基于Talwani公式进行重力异常计算。为了提高欠定问题解的唯一性,在假设已知对称轴的基础上增加了特定的约束条件。在简单模型生成的合成数据和先前公布的真实数据上对VFSA的反演进行了测试,以评估所提出的方法对现场数据解释的适用性。
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Gravity Inversion of Talwani Model using Very Fast Simulated Annealing
Global approaches for estimating geophysical model parameters have been proposed by several authors, including their application for gravity interpretation, which is currently limited to simple and fixed geometrical problems. This paper proposes implementation of Very Fast Simulated Annealing (VFSA) in two-dimensional gravity interpretation problems, which are still rarely addressed. The modeling domain was divided into smaller sub-domains and gravity anomaly calculation was carried out based on the Talwani formulation.  To improve the uniqueness of the solution of under-determined problems, specific constraints were added in addition to the assumed known symmetry axes. The inversion of VFSA was tested on synthetic data generated by simple models and on previously published real data to evaluate the applicability of the proposed approach to the interpretation of field data.
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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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