Show simple item record

dc.contributor.authorGajda-Zaǵorska, Ewa
dc.contributor.authorPaszýnski, Maciej
dc.contributor.authorSchaefer, Robert
dc.contributor.authorPardo, David
dc.contributor.authorCalo, Victor M.
dc.date.accessioned2015-05-07T13:51:08Z
dc.date.available2015-05-07T13:51:08Z
dc.date.issued2012-06-02
dc.identifier.citationhp-HGS strategy for inverse 3D DC resistivity logging measurement simulations 2012, 9:927 Procedia Computer Science
dc.identifier.issn18770509
dc.identifier.doi10.1016/j.procs.2012.04.099
dc.identifier.urihttp://hdl.handle.net/10754/552430
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.
dc.publisherElsevier BV
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1877050912002207
dc.rightsArchived with thanks to Procedia Computer Science. http://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectinverse problems
dc.subject3D DC borehole resistivity measurements
dc.subjecthp adaptive finite element method
dc.subjecthierarchical genetic search
dc.subjectparallel computing
dc.titlehp-HGS strategy for inverse 3D DC resistivity logging measurement simulations
dc.typeConference Paper
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentNumerical Porous Media SRI Center (NumPor)
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalProcedia Computer Science
dc.conference.date2012-06-04 to 2012-06-06
dc.conference.name12th Annual International Conference on Computational Science, ICCS 2012
dc.conference.locationOmaha, NB, USA
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionAGH University of Science and Technology, Krakow, Poland
dc.contributor.institutionThe University of the Basque Country, Bilbao, Spain and IKERBASQUE (Basque Foundation of Science)
kaust.personCalo, Victor M.
refterms.dateFOA2018-06-13T11:09:35Z
dc.date.published-online2012-06-02
dc.date.published-print2012


Files in this item

Thumbnail
Name:
1-s2.0-S1877050912002207-main.pdf
Size:
816.8Kb
Format:
PDF
Description:
Main article

This item appears in the following Collection(s)

Show simple item record