Pareto Joint Inversion of 2D magnetometric and gravity data- synthetic study

Tomasz Danek; Andrzej Leśniak; Katarzyna Miernik; Elżbieta Śledź

doi:10.1051/e3sconf/201913301009

All issues

Volume 133 (2019)

E3S Web Conf., 133 (2019) 01009

References

Open Access

Issue		E3S Web Conf. Volume 133, 2019 AG 2019 – 5^th International Conference on Applied Geophysics


Article Number		01009
Number of page(s)		10
Section		Application of Geophysical Methods
DOI		https://doi.org/10.1051/e3sconf/201913301009
Published online		25 November 2019

BGS Geomagnetism | British Geological Survey | Space weather, magnetic models, geomagnetic data, observatories. (n.d.). Retrieved May 23, from http://www.geomag.bgs.ac.uk/, (2019) [Google Scholar]
R. Bijani, P. G. Lelì, C. F. Ponte-Neto, C.G. Farquharson, Physical-property-, lithology-and surface-geometry-based joint inversion using Pareto Multi-Objective Global Optimization, Geophysical Journal International Geophys. J. Int, 209, 730–748, (2017) [CrossRef] [Google Scholar]
R.J. Blakely, Potential theory in gravity and magnetic applications, (1995) [CrossRef] [Google Scholar]
R. Cirillo, The economics of Vilfredo Pareto, Frank Cass, (1979) [Google Scholar]
J.L. Fernández Martínez, E. García Gonzalo, J.P. Fernández Álvarez, H.A. Kuzma, C.O. Menéndez Pérez, PSO: A powerful algorithm to solve geophysical inverse problems: Application to a 1D-DC resistivity case, Journal of Applied Geophysics, 71(1), 13–25, (2010) [Google Scholar]
A. Ghosh, P. Mal, A. Majumdar, (n.d.). Advanced optimization and decision making techniques in textile manufacturing, ISBN: 0429996837 [Google Scholar]
W.J. Hinze, R.R.B. Von Frese, A.H. Saad, Gravity and Magnetic Exploration: Principles, Practices, and Applications., (2013) [CrossRef] [Google Scholar]
J. Kennedy, Bare bones particle swarms, Proc. of Swarm Intelligence Symposium, page 80–87, (2003) [Google Scholar]
J. Kennedy, R. Eberhart, Particle swarm optimization, Proc. IEEE Conf. on Neural Networks, pages 1942–1948, (1995) [Google Scholar]
E. Kozlovskaya, L. Vecsey, J. Plomerova, T. Raita, Joint inversion of multiple data types with the use of multiobjective optimization: problem formulation and application to the seismic anisotropy investigations, Geophys. J. Int. 171, 2, 761–779, DOI: 10.1111/j.1365-246X.2007.03540.x, (2007) [Google Scholar]
K. Miernik, A. Bogacz, A. Kozubal, T. Danek, M. Wojdyła, Pareto joint inversion of 2D magnetotelluric and gravity data - towards practical applications, Acta Geophys., 64(5), 1655–1672, (2016) [CrossRef] [Google Scholar]
K. Nöh, S. Niedenführ, M. Beyß, W. Wiechert, A Pareto approach to resolve the conflict between information gain and experimental costs: Multiple-criteria design of carbon labeling experiments. PLOS Computational Biology, 14(10), e1006533, (2018) [CrossRef] [PubMed] [Google Scholar]
R. Poli, Analysis of the publications on the applications of particle swarm optimisation, Journal of Artificial Evolution and Applications, (2008) [Google Scholar]
R. Poli, J. Kennedy, T. Blackwell, Particle Swarm Optimization: An overview, Swarm Intelligence, 1(1):33–57, (2007) [CrossRef] [Google Scholar]
O. Schütze, O. Cuate, A. Martín, S. Peitz, M. Dellnitz, Pareto Explorer: global/local exploration tool for many-objective optimization problems, Engineering Optimization, 1–24, (2019) [Google Scholar]
W.M. Telford, L.P. Geldart, R.E. Sheriff, Applied Geophysics, 2nd ed. Cambridge: Cambridge University Press, (1990) [CrossRef] [Google Scholar]
K. Vozoff, D.L.B. Jupp, Joint inversion of geophysical data, Geophysical Journal of the Royal Astronomical Society, 42(3):977–991, (1975) [CrossRef] [Google Scholar]
M. Zaefferer, B. Naujoks, T. Bartz-Beielstein, S. Ciplus, T. Bartz-Beielstein, W. Konen, B. Naujoks, A Gentle Introduction to Multi-Criteria Optimization with SPOT, Schriftenreihe CIplus TR 1/2013, ISSN 2194-2870, (2013) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.

[1] BGS Geomagnetism | British Geological Survey | Space weather, magnetic models, geomagnetic data, observatories. (n.d.). Retrieved May 23, from http://www.geomag.bgs.ac.uk/, (2019) [Google Scholar]

[2] R. Bijani, P. G. Lelì, C. F. Ponte-Neto, C.G. Farquharson, Physical-property-, lithology-and surface-geometry-based joint inversion using Pareto Multi-Objective Global Optimization, Geophysical Journal International Geophys. J. Int, 209, 730–748, (2017) [CrossRef] [Google Scholar]

[3] R.J. Blakely, Potential theory in gravity and magnetic applications, (1995) [CrossRef] [Google Scholar]

[4] R. Cirillo, The economics of Vilfredo Pareto, Frank Cass, (1979) [Google Scholar]

[5] J.L. Fernández Martínez, E. García Gonzalo, J.P. Fernández Álvarez, H.A. Kuzma, C.O. Menéndez Pérez, PSO: A powerful algorithm to solve geophysical inverse problems: Application to a 1D-DC resistivity case, Journal of Applied Geophysics, 71(1), 13–25, (2010) [Google Scholar]

[6] A. Ghosh, P. Mal, A. Majumdar, (n.d.). Advanced optimization and decision making techniques in textile manufacturing, ISBN: 0429996837 [Google Scholar]

[7] W.J. Hinze, R.R.B. Von Frese, A.H. Saad, Gravity and Magnetic Exploration: Principles, Practices, and Applications., (2013) [CrossRef] [Google Scholar]

[8] J. Kennedy, Bare bones particle swarms, Proc. of Swarm Intelligence Symposium, page 80–87, (2003) [Google Scholar]

[9] J. Kennedy, R. Eberhart, Particle swarm optimization, Proc. IEEE Conf. on Neural Networks, pages 1942–1948, (1995) [Google Scholar]

[10] E. Kozlovskaya, L. Vecsey, J. Plomerova, T. Raita, Joint inversion of multiple data types with the use of multiobjective optimization: problem formulation and application to the seismic anisotropy investigations, Geophys. J. Int. 171, 2, 761–779, DOI: 10.1111/j.1365-246X.2007.03540.x, (2007) [Google Scholar]

[11] K. Miernik, A. Bogacz, A. Kozubal, T. Danek, M. Wojdyła, Pareto joint inversion of 2D magnetotelluric and gravity data - towards practical applications, Acta Geophys., 64(5), 1655–1672, (2016) [CrossRef] [Google Scholar]

[12] K. Nöh, S. Niedenführ, M. Beyß, W. Wiechert, A Pareto approach to resolve the conflict between information gain and experimental costs: Multiple-criteria design of carbon labeling experiments. PLOS Computational Biology, 14(10), e1006533, (2018) [CrossRef] [PubMed] [Google Scholar]

[13] R. Poli, Analysis of the publications on the applications of particle swarm optimisation, Journal of Artificial Evolution and Applications, (2008) [Google Scholar]

[14] R. Poli, J. Kennedy, T. Blackwell, Particle Swarm Optimization: An overview, Swarm Intelligence, 1(1):33–57, (2007) [CrossRef] [Google Scholar]

[15] O. Schütze, O. Cuate, A. Martín, S. Peitz, M. Dellnitz, Pareto Explorer: global/local exploration tool for many-objective optimization problems, Engineering Optimization, 1–24, (2019) [Google Scholar]

[16] W.M. Telford, L.P. Geldart, R.E. Sheriff, Applied Geophysics, 2nd ed. Cambridge: Cambridge University Press, (1990) [CrossRef] [Google Scholar]

[17] K. Vozoff, D.L.B. Jupp, Joint inversion of geophysical data, Geophysical Journal of the Royal Astronomical Society, 42(3):977–991, (1975) [CrossRef] [Google Scholar]

[18] M. Zaefferer, B. Naujoks, T. Bartz-Beielstein, S. Ciplus, T. Bartz-Beielstein, W. Konen, B. Naujoks, A Gentle Introduction to Multi-Criteria Optimization with SPOT, Schriftenreihe CIplus TR 1/2013, ISSN 2194-2870, (2013) [Google Scholar]