hp-HGS strategy for inverse 3D DC resistivity logging measurement simulations
Author(s) -
Ewa Gajda-Zagórska,
Maciej Paszyński,
Robert Schaefer,
David Pardo,
Victor M. Calo
Publication year - 2012
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2012.04.099
Subject(s) - computer science , borehole , finite element method , inverse , inverse problem , process (computing) , algorithm , population , electrical resistivity and conductivity , logging , geology , electrical engineering , geometry , mathematics , structural engineering , mathematical analysis , ecology , geotechnical engineering , demography , sociology , engineering , biology , operating system
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 conguration 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
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