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dc.contributor.authorGajda-Zagórska, E.
dc.contributor.authorPaszynski, M.
dc.contributor.authorSchaefer, R.
dc.contributor.authorPardo, D.
dc.contributor.authorCalo, Victor
dc.date.accessioned2017-03-24T11:53:17Z
dc.date.available2017-03-24T11:53:17Z
dc.date.created2017-03-23T06:59:54Z
dc.date.issued2012
dc.identifier.citationGajda-Zagórska, E. and Paszynski, M. and Schaefer, R. and Pardo, D. and Calo, V. 2012. hp-HGS strategy for inverse 3D DC resistivity logging measurement simulations. Procedia Computer Science. 9: pp. 927-936.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/51451
dc.identifier.doi10.1016/j.procs.2012.04.099
dc.description.abstract

In this paper we present a twin adaptive strategy hp-HGS for solving inverse problems related to 3D DC borehole resistivity measurement simulations. The term "simulation of measurements" is widely used by the geophysical community. A quantity of interest, voltage, is measured at a receiver electrode located in the logging instrument. We use the self-adaptive goal-oriented hp-Finite Element Method (hp-FEM) computer simulations of the process of measurements in deviated wells (when the angle between the borehole and formation layers are < 90 deg). We also employ the hierarchical genetic search (HGS) algorithm to solve the inverse problem. Each individual in the population represents a single configuration of the formation layers. The evaluation of the individual is performed by solving the direct problem by means of the hp-FEM algorithm and by comparison with measured logging curve. We conclude the paper with some discussion on the parallelization of the algorithm. © 2012 Published by Elsevier Ltd.

dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/
dc.titlehp-HGS strategy for inverse 3D DC resistivity logging measurement simulations
dc.typeConference Paper
dcterms.source.volume9
dcterms.source.startPage927
dcterms.source.endPage936
dcterms.source.issn1877-0509
dcterms.source.titleProcedia Computer Science
dcterms.source.seriesProcedia Computer Science
curtin.note

Paper presented at International Conference on Computational Science, ICCS 2012

curtin.departmentDepartment of Applied Geology
curtin.accessStatusOpen access


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