Szczegóły publikacji
Opis bibliograficzny
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.
Autorzy (5)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 92125 |
|---|---|
| Data dodania do BaDAP | 2015-10-01 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.asoc.2015.06.055 |
| Rok publikacji | 2015 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Applied Soft Computing |
Abstract
In this paper, we propose the use of a hybrid algorithm for the inversion of 3D Alternate Current (AC) resistivity logging measurements. The forward problem is solved using a goal-oriented self-adaptive hp-Finite Element Method (hp-FEM) that provides exponential convergence of the numerical error with respect to the mesh size. The inverse problem is solved using a Hierarchical Genetic Search (HGS) coupled with a Broyden-Fletcher-Goldfar-Shanno (BFGS) method. Individuals from the genetic populations represent the resistivity of the formation layers. The fitness function is estimated based on hp-FEM results. The hybrid method controls the accuracy of evaluation of particular individuals, as well as the accuracy of the genetic coding. After finding those regions where the fitness function has small values, the local search method by means of BFGS algorithm is executed. The paper is concluded with numerical results for the hybrid algorithm. (C) 2015 Elsevier B.V. All rights reserved.
