DocumentCode
1714749
Title
Optimal coil design for well-logging applications
Author
Goswami, J.C. ; Underwood, B. ; Omeragic, D. ; Tabanou, J.
Author_Institution
Sugar Land Product Center, Schlumberger Oilfield Services, Sugar Land, TX, USA
Volume
3
fYear
2001
Firstpage
176
Abstract
Transmitting and receiving antennas used in many well-logging tools are made up of ferrite-backed coils wound on a metallic cylinder. A critical requirement in the design of these coils is to produce a desired spatial variation of the magnetic field. In some other applications, MRI for instance, in addition to a specified spatial variation, it is also desirable to have low inductance (L) of coils to reduce switching time constants that depend on L/R where R is the coil resistance. In well-logging tools, it is often required to have uniformity of electromagnetic field along the axial direction over a specified range at a given radial distance from the tool-face. This requirement is met by placing several coils along the length of the tool. In this paper we discuss an application of genetic algorithms to determine coil position and the direction of current. A combination of FEM and superposition method is used to solve the forward problem. Numerical and experimental results are presented.
Keywords
coils; electromagnetic fields; ferrite devices; finite element analysis; genetic algorithms; geophysical techniques; optimisation; receiving antennas; transmitting antennas; FEM; coil position; current direction; electromagnetic field uniformity; ferrite-backed coils; forward problem; genetic algorithm; magnetic field; metallic cylinder; receiving antennas; spatial variation; superposition method; transmitting antennas; well logging; Coils; Electromagnetic fields; Genetic algorithms; Inductance; Magnetic fields; Magnetic resonance imaging; Quantum computing; Search methods; Transmitting antennas; Wounds;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 2001. IEEE
Conference_Location
Boston, MA, USA
Print_ISBN
0-7803-7070-8
Type
conf
DOI
10.1109/APS.2001.960061
Filename
960061
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