Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/71606
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Type: Conference paper
Title: Evolving inversion methods in geophysics with cloud computing: a case study of an eScience collaboration
Author: Mudge, J.
Chandrasekhar, P.
Heinson, G.
Thiel, S.
Citation: Proceedings of the 2011 7th IEEE International Conference on E-Science, held in Stockholm, Sweden, 5-8 December, 2011: pp.119-125
Publisher: IEEE
Publisher Place: USA
Issue Date: 2011
ISBN: 9781457721632
Conference Name: IEEE International Conference on eScience (7th : 2011 : Stockholm, Sweden)
Statement of
Responsibility: 
J. Craig Mudge, Pinaki Chandrasekhar, Graham S. Heinson and Stephan Thiel
Abstract: Magnetotellurics is a geophysics technique for characterisation of geothermal reservoirs, mineral exploration, and other geoscience endeavours that need to sound deeply into the earth – many kilometres or tens of kilometres. Central to its data processing is an inversion problem which currently takes several weeks on a desktop machine. In our new eScience lab, enabled by cloud computing, we parallelised an existing FORTAN program and embedded the parallel version in a cloud-based web application to improve its usability. A factor-of-five speedup has taken the time for some inversions from weeks down to days and is in use in a pre-fracturing and post-fracturing study of a new geothermal site in South Australia, an area with a high occurrence of hot dry rocks. We report on our experience with Amazon Web Services cloud services and our migration to Microsoft Azure, the collaboration between computer scientists and geophysicists, and the foundation it has laid for future work exploiting cloud data-parallel programming models.
Keywords: Magnetotelluric inversions; cloud computing; parallelisation; geophysical modelling; parallel programming; geothermal; South Australia
Rights: © 2011 IEEE
RMID: 0020117250
DOI: 10.1109/eScience.2011.25
Published version: https://ieeexplore.ieee.org/xpl/conhome/6122900/proceeding
Appears in Collections:Computer Science publications
Environment Institute publications

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