Large Scale Joint Inversion of Geophysical Data using the Finite Element Method in escript

Lutz Gross; Carina Kemp

doi:10.1071/ASEG2013ab306

ISSN: 2202-0586
E-ISSN:

oa Large Scale Joint Inversion of Geophysical Data using the Finite Element Method in escript
Authors Lutz Gross^a and Carina Kemp^b
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^a The University of Queensland, School of Earth Sciences, St Lucia, , QLD, , Australia, [email protected] ^b Geoscience Australia, Symonston, ACT, , Australia, [email protected]
Publisher: Australian Society of Exploration Geophysicists
Source: ASEG Extended Abstracts, Volume 2013, Issue ASEG2013 - 23rd Geophysical Conference, Dec 2013, p. 1 - 4
DOI: https://doi.org/10.1071/ASEG2013ab306
- Published online: 01 Dec 2013

Abstract

The program package escript is a module in python for solving mathematical modelling problems. It is based on the finite element method (FEM) and scales on compute clusters for thousands of cores. In this paper we will discuss an extension to escript for solving large-scale inversion problems, in particular the joint inversion of magnetic and gravity data. In contrast to conventional inversion programs escript avoids the assemblage of the -in general- dense sensitivity matrix which is problematic when it comes to large-scale problems. Moreover, we will show how the FEM approach can easily be used to solve the adjoined forward problems required for the gradient calculation of the cost function.

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References

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L.A Gallardo, M.A. Meju, and M.A. Prez-Flores, 2005, A quadratic programming approach for joint image reconstruction: mathematical and geophysical examples. Inverse Problems, 21(2):435.
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Article Type: Research Article

Keyword(s): finite elements; geophysical inversion; joint inversion; parallel computing

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