2024-03-28T14:52:32Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1847602019-11-12T12:02:29Zcom_10261_39226com_10261_8col_10261_42742
Three-dimensional inverse modelling of magnetic anomaly sources based on a genetic algorithm
Montesinos, Fuensanta G.
Blanco-Montenegro, Isabel
Arnoso, José
Ministerio de Economía y Competitividad (España)
Ministerio de Agricultura, Alimentación y Medio Ambiente (España)
Universidad Complutense de Madrid
Banco Santander
Ministerio de Educación, Cultura y Deporte (España)
Genetic algorithm
Inverse problem
Magnetic anomalies
Potential fields
Canary Islands
We present a modelling method to estimate the 3-D geometry and location of homogeneously magnetized sources from magnetic anomaly data. As input information, the procedure needs the parameters defining the magnetization vector (intensity, inclination and declination) and the Earth’s magnetic field direction. When these two vectors are expected to be different in direction, we propose to estimate the magnetization direction from the magnetic map. Then, using this information, we apply an inversion approach based on a genetic algorithm which finds the geometry of the sources by seeking the optimum solution from an initial population of models in successive iterations through an evolutionary process. The evolution consists of three genetic operators (selection, crossover and mutation), which act on each generation, and a smoothing operator, which looks for the best fit to the observed data and a solution consisting of plausible compact sources. The method allows the use of non-gridded, non-planar and inaccurate anomaly data and non-regular subsurface partitions. In addition, neither constraints for the depth to the top of the sources nor an initial model are necessary, although previous models can be incorporated into the process. We show the results of a test using two complex synthetic anomalies to demonstrate the efficiency of our inversion method. The application to real data is illustrated with aeromagnetic data of the volcanic island of Gran Canaria (Canary Islands).
This research was supported by: Project CGL2011-25494 of the Spanish Ministry of Economy and Competitiveness, Project 320/2011 of the Spanish Ministry of Agriculture, Food and Environment, and Programa de Financiación para Grupos de Investigación UCM-BSCH. I. Blanco-Montenegro is grateful to the Ministry of Education of Spain for funding her research at Universidad Complutense de Madrid (Ayuda de movilidad ref. PR2010-0498).
Peer reviewed
2019-06-25T07:28:14Z
2019-06-25T07:28:14Z
2016-04
artículo
http://purl.org/coar/resource_type/c_6501
Physics of the Earth and Planetary Interiors 253: 74-87 (2016)
0031-9201
http://hdl.handle.net/10261/184760
10.1016/j.pepi.2016.02.004
http://dx.doi.org/10.13039/501100003329
http://dx.doi.org/10.13039/100010784
http://dx.doi.org/10.13039/501100003176
http://dx.doi.org/10.13039/501100002911
http://dx.doi.org/10.13039/501100004336
en
https://doi.org/10.1016/j.pepi.2016.02.004
Sí
none
Elsevier