hp-HGS strategy for inverse 3D DC resistivity logging measurement simulations

Handle URI:
http://hdl.handle.net/10754/552430
Title:
hp-HGS strategy for inverse 3D DC resistivity logging measurement simulations
Authors:
Gajda-Zaǵorska, Ewa; Paszýnski, Maciej; Schaefer, Robert; Pardo, David; Calo, Victor M. ( 0000-0002-1805-4045 )
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.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Citation:
hp-HGS strategy for inverse 3D DC resistivity logging measurement simulations 2012, 9:927 Procedia Computer Science
Journal:
Procedia Computer Science
Issue Date:
2-Jun-2012
DOI:
10.1016/j.procs.2012.04.099
Type:
Article
ISSN:
18770509
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S1877050912002207
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorGajda-Zaǵorska, Ewaen
dc.contributor.authorPaszýnski, Maciejen
dc.contributor.authorSchaefer, Roberten
dc.contributor.authorPardo, Daviden
dc.contributor.authorCalo, Victor M.en
dc.date.accessioned2015-05-07T13:51:08Zen
dc.date.available2015-05-07T13:51:08Zen
dc.date.issued2012-06-02en
dc.identifier.citationhp-HGS strategy for inverse 3D DC resistivity logging measurement simulations 2012, 9:927 Procedia Computer Scienceen
dc.identifier.issn18770509en
dc.identifier.doi10.1016/j.procs.2012.04.099en
dc.identifier.urihttp://hdl.handle.net/10754/552430en
dc.description.abstractIn 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.en
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1877050912002207en
dc.rightsArchived with thanks to Procedia Computer Science. http://creativecommons.org/licenses/by-nc-nd/3.0/en
dc.subjectinverse problemsen
dc.subject3D DC borehole resistivity measurementsen
dc.subjecthp adaptive finite element methoden
dc.subjecthierarchical genetic searchen
dc.subjectparallel computingen
dc.titlehp-HGS strategy for inverse 3D DC resistivity logging measurement simulationsen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalProcedia Computer Scienceen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionAGH University of Science and Technology, Krakow, Polanden
dc.contributor.institutionThe University of the Basque Country, Bilbao, Spain and IKERBASQUE (Basque Foundation of Science)en
kaust.authorCalo, Victor M.en
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