Ten years in the wild: The P223 experiment

David Annetts; Joe Cucuzza

doi:10.1071/ASEG2018abW8_3D

1st Australasian Exploration Geoscience Conference – Exploration Innovation Integration

ISSN: 2202-0586
E-ISSN:

oa Ten years in the wild: The P223 experiment
Authors David Annetts^a and Joe Cucuzza^b
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^a CSIRO 26 Dick Perry Av. Kensington, 6151, [email protected] ^b AMIRA International, Lvl 2, 271 William St, Melbourne, 3000, [email protected]
Publisher: Australian Society of Exploration Geophysicists
Source: ASEG Extended Abstracts, Volume 2018, Issue 1st Australasian Exploration Geoscience Conference – Exploration Innovation Integration, Dec 2018, p. 1 - 5
DOI: https://doi.org/10.1071/ASEG2018abW8_3D
- Published online: 01 Dec 2018

Abstract

The use of open-source codes has become pervasive over the past 20 years but such codes are uncommon in minerals exploration. The P223 series of programs researching forward and inverse modelling of electromagnetic data was supported by CSIRO and six AMIRA consortia over 27 years and produced, amongst others, the codes, Airbeo, LeroiAir and Marco. This project concluded in 2008 and, after a two-year embargo, the code base, consisting of computer programs modelling different approximations of the earth for ground and airborne prospecting systems, was released to the public. We discuss reasons why codes have not been more widely adopted, and examine the evolution of some of the codes in research, academia and in industry as a guide to parties who would embark on a similar route.

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References

Anthes, G., 2016, Open Source Software No Longer Optional: Communications of the ACM, 59(8), 15-17.
Constable, S.C., Parker, R.L. and Constable, C.G., 1987, Occam’s inversion: A practical algorithm for generating smooth models from electromagnetic sounding data: Geophysics, 52(3), 289-300.
dGB Earth Sciences, 2017, OpendTect: OpendTect. Available at: http://www.opendtect.org/ [Accessed August 14, 2017]. Electromagnetic Imaging Technology, 2017, Maxwell: Available at: https://www.electromag.com.au/maxwell.php [Accessed August 25, 2017].
Fomel, S., Sava, P., Vlad, I., Liu, Y. and Bashkadin, V., 2013, Madagascar: open-source software project for multidimensional data analysis and reproducible computational experiments: Journal of Open Research Software, 1(1), E8.
Ghapanchi, A.H., Aurum, A. and Low, G., 2011, A taxonomy for measuring the success of open source software projects: First Monday. Available at: http://firstmonday.org/ojs/index.php/fm/article/view/3558/3033 [Accessed August 7, 2017].
Hauser, J., Gunning, J. and Annetts, D., 2016, Probabilistic inversion of airborne electromagnetic data for basement conductors: Geophysics, 81(5), E389-E400.
Hauser, J., Gunning, J. and Annetts, D., 2015, Probabilistic inversion of airborne electromagnetic data under spatial constraints: Geophysics, 80(2), E135-E146.
Hauser, J., Wellmann, J.F. and Trefry, M., 2017, Water table uncertainties due to uncertainties in structure and properties of an unconfined aquifer: Groundwater, doi: 10.1111/gwat.12577.
Jupp, D.L.B. and Vozoff, K., 1975, Stable Iterative Methods for the inversion of Geophysical Data: Geophysical Journal of the Royal Astronomical Society, 42, 957-976.
Kiyan, D., Rath, V. and Delhaye, R., 2017, An inversion toolbox for frequency- and time-domain airborne electromagnetic data from surveys in Ireland, in Second European Airborne Electromagnetics Conference: EAGE.
Lane, R., Green, A., Golding, C., Owers, M., Pik, P., Plunkett, C., Sattel, D. and Thorn, B., 2000, An example of 3D conductivity mapping using the TEMPEST airborne electromagnetic system: Exploration Geophysics, 31(2), 162-172.
Pirttijarvi, M. and Salmirinne, H., 2015, ArjunGUI: 2D modelling and inversion software for airborne time-domain EM data, in Novel Technologies for Greenfield Exploration: Geological Survey of Finland, p. 199.
Raiche, A., Wilson, G. and Sugeng, F., 2007, Practical 3D inversion -- The P223F Software Suite, in 19th Geophysical Conference and Exhibition. ASEG, pp. 68-69.
Schweik, C.M., 2013, Sustainability in Open Source Software Commons: Lessons Learned from an Empirical Study of SourceForge Projects: Technology Innovation Management Review, 3(1), 13-19.
Silic, J., Paterson, R., FitzGerald, D.J. and Archer, T., 2015, Comparing 1D and 2.5D AEM Inversions Using a New Adaptive Inversion Solver in a 3D Geological Mapping Environment, in Near Surface Geoscience.
Sourceforge, 2010, P223Suite: P223Suite. Available at: https://sourceforge.net/projects/p223suite/?source=directory [Accessed August 25, 2017].
Stockwell, J., 2017, CMP/SU: Seismic Unix: CWP. Available at: http://www.cwp.mines.edu/cwpcodes/ [Accessed August 14, 2017].
Subramaniam, C., Sen, R. and Nelson, M.L., 2009, Determinants of open source software project success: A longitudinal study: Decision Support Systems, 46(2), 576-585.

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Article Type: Research Article

Keyword(s): electromagnetic modelling; forward; inverse; open source

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oa Ten years in the wild: The P223 experiment

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