GRAVPSO2D: A Matlab package for 2D gravity inversion in sedimentary basins using the Particle Swarm Optimization algorithm

被引：17
|
作者：
Pallero, J. L. G. [1 ]
Fernandez-Martinez, J. L. [2 ]
Fernandez-Muniz, Z. [2 ]
Bonvalot, S. [3 ]
Gabalda, G. [3 ]
Nalpas, T. [4 ]
机构：
[1] Univ Politecn Madrid, ETSI Topog Geodesia & Cartog, Madrid, Spain
[2] Univ Oviedo, Dept Matemat, Grp Problemas Inversos Optimizac & Aprendizaje Au, Oviedo, Spain
[3] GET Univ Toulouse, CNRS, Bur Gravimetr Int BGI, IRD,CNES, Toulouse, France
[4] Univ Rennes, CNRS, UMR 6118, Geosci Rennes, F-35000 Rennes, France
来源：
COMPUTERS & GEOSCIENCES | 2021年 / 146卷
关键词：
Nonlinear gravity inversion; Particle swarm optimization; Uncertainty assessment; Sedimentary basin; BASEMENT RELIEF; UNCERTAINTY ASSESSMENT; DENSITY; ANOMALIES; CONSTRAINTS; PROGRAM; TOOL; PSO;
D O I：
10.1016/j.cageo.2020.104653
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper GRAVPSO2D, a Matlab tool for two-dimensional gravity inversion in sedimentary basins using the Particle Swarm Optimization (PSO) algorithm, is presented. The package consists of a collection of functions and scripts that cover the main three parts of the process: (1) the model definition based on the observations, (2) the inversion itself, where the PSO is employed, and (3) the results processing, including best model estimation, uncertainty analysis and plots generation. GRAVPSO2D is freely available, and represents an effort for providing the scientific community with the first tool based on the PSO algorithm in order perform the inversion and the uncertainty assessment of the sedimentary basin gravity inversion problem, taking into account the gravity regional trend estimation, and vertically and horizontally density contrast variations. Synthetic and real examples are provided in order to show the software capabilities.
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收藏
页数：12
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