Szczegóły publikacji

Opis bibliograficzny

A hybrid method for inversion of 3D DC resistivity logging measurements / Ewa GAJDA-ZAGÓRSKA, Robert SCHAEFER, Maciej SMOŁKA, Maciej PASZYŃSKI, David Pardo // Natural Computing ; ISSN 1567-7818. — 2015 — vol. 14 iss. 3 spec. iss. Pt. 1 Algorithms and models for complex natural systems ; Pt. 2 Optical parallel supercomputing, s. 355–374. — Bibliogr. s. 373–374, Abstr.

Autorzy (5)

Słowa kluczowe

hierarchic genetic strategyhybrid methodinverse problem

Dane bibliometryczne

ID BaDAP92138
Data dodania do BaDAP2015-09-26
Tekst źródłowyURL
DOI10.1007/s11047-014-9440-y
Rok publikacji2015
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaNatural Computing

Abstract

This paper focuses on the application of hp hierarchic genetic strategy (hp-HGS) for solution of a challenging problem, the inversion of 3D direct current (DC) resistivity logging measurements. The problem under consideration has been formulated as the global optimization one, for which the objective function (misfit between computed and reference data) exhibits multiple minima. In this paper, we consider the extension of the hp-HGS strategy, namely we couple the hp-HGS algorithm with a gradient based optimization method for a local search. Forward simulations are performed with a self-adaptive hp finite element method, hp-FEM. The computational cost of misfit evaluation by hp-FEM depends strongly on the assumed accuracy. This accuracy is adapted to the tree of populations generated by the hp-HGS algorithm, which makes the global phase significantly cheaper. Moreover, tree structure of demes as well as branch reduction and conditional sprouting mechanism reduces the number of expensive local searches up to the number of minima to be recognized. The common (direct and inverse) accuracy control, crucial for the hp-HGS efficiency, has been motivated by precise mathematical considerations. Numerical results demonstrate the suitability of the proposed method for the inversion of 3D DC resistivity logging measurements.

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artykuł
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A hybrid method for inversion of 3D AC resistivity logging measurements / Maciej SMOŁKA, Ewa GAJDA-ZAGÓRSKA, Robert SCHAEFER, Maciej PASZYŃSKI, David Pardo // Applied Soft Computing ; ISSN 1568-4946. — 2015 — vol. 36, s. 442–456. — Bibliogr. s. 455–456, Abstr.
fragment książki
#79698Data dodania: 12.2.2014
Hybrid algorithm for inverse DC/AC resistivity logging measurement simulations / M. PASZYŃSKI, E. GAJDA-ZAGÓRSKA, M. SMOŁKA, R. SCHAEFER, D. Pardo // W: APCOM & ISCM 2013 [Dokument elektroniczny] : 5th Asia Pacific Congress on Computional Mechanics & 4th International Symposium on Computational Mechanics : Singapore, 11–14 December, 2013 : proceedings. — Wersja do Windows. — Dane tekstowe. — [Singapore : s. n.], [2013]. — S. 1–8. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: http://www.sci-en-tech.com/apcom2013/APCOM2013-Proceedings/PD... [2014-02-07]. — Bibliogr. s. 8, Abstr.