hp-HGS strategy for inverse 3D DC resistivity logging measurement simulations
dc.contributor.author | Gajda-Zagórska, E. | |
dc.contributor.author | Paszynski, M. | |
dc.contributor.author | Schaefer, R. | |
dc.contributor.author | Pardo, D. | |
dc.contributor.author | Calo, Victor | |
dc.date.accessioned | 2017-03-24T11:53:17Z | |
dc.date.available | 2017-03-24T11:53:17Z | |
dc.date.created | 2017-03-23T06:59:54Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Gajda-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.uri | http://hdl.handle.net/20.500.11937/51451 | |
dc.identifier.doi | 10.1016/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.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/ | |
dc.title | hp-HGS strategy for inverse 3D DC resistivity logging measurement simulations | |
dc.type | Conference Paper | |
dcterms.source.volume | 9 | |
dcterms.source.startPage | 927 | |
dcterms.source.endPage | 936 | |
dcterms.source.issn | 1877-0509 | |
dcterms.source.title | Procedia Computer Science | |
dcterms.source.series | Procedia Computer Science | |
curtin.note |
Paper presented at International Conference on Computational Science, ICCS 2012 | |
curtin.department | Department of Applied Geology | |
curtin.accessStatus | Open access |