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Pregled bibliografske jedinice broj: 513309

Stochastic Inversion Approach to Measurement of Tube Properties Using Remote Field Technique


Vasić, Darko; Bilas, Vedran
Stochastic Inversion Approach to Measurement of Tube Properties Using Remote Field Technique // Proceedings of the International Instrumentation and Measurement Conference, I2MTC 2011 / Yan, Yong ; Dyer, Ruth (ur.).
Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE), 2011. str. 1238-1242 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Stochastic Inversion Approach to Measurement of Tube Properties Using Remote Field Technique

Autori
Vasić, Darko ; Bilas, Vedran

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the International Instrumentation and Measurement Conference, I2MTC 2011 / Yan, Yong ; Dyer, Ruth - Piscataway (NJ) : Institute of Electrical and Electronics Engineers (IEEE), 2011, 1238-1242

ISBN
978-1-4244-7934-4

Skup
International Instrumentation and Measurement Conference, I2MTC 2011

Mjesto i datum
Hangzhou, Kina, 10.05.2011. - 12.05.2011

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
remote field technique; inductive sensors; stochastic inverse problem; Markov processes; Monte Carlo methods

Sažetak
The remote field technique for the measurement of the oil-well casing properties (thickness, magnetic permeability, and conductivity) is ill-posed. A very low measurement uncertainty, on the order of 100 ppm, is required to resolve the individual casing properties. Only lumped parameters (casing factor and permeability-to-conductivity ratio) can be obtained using the optimization approach. We present a stochastic formulation of the inverse problem, which results in the joint posterior probability distribution of the casing properties. We examine a relationship between the measurement uncertainties of the magnetic field and casing properties, and we show that the results of the stochastic inversion are more informative than the lumped parameters obtained using the optimization approach.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
036-0361621-1625 - Inteligentni sustavi za mjerenje teško mjerljivih veličina (Bilas, Vedran, MZO ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Darko Vasić (autor)

Avatar Url Vedran Bilas (autor)


Citiraj ovu publikaciju:

Vasić, Darko; Bilas, Vedran
Stochastic Inversion Approach to Measurement of Tube Properties Using Remote Field Technique // Proceedings of the International Instrumentation and Measurement Conference, I2MTC 2011 / Yan, Yong ; Dyer, Ruth (ur.).
Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE), 2011. str. 1238-1242 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Vasić, D. & Bilas, V. (2011) Stochastic Inversion Approach to Measurement of Tube Properties Using Remote Field Technique. U: Yan, Y. & Dyer, R. (ur.)Proceedings of the International Instrumentation and Measurement Conference, I2MTC 2011.
@article{article, author = {Vasi\'{c}, Darko and Bilas, Vedran}, year = {2011}, pages = {1238-1242}, keywords = {remote field technique, inductive sensors, stochastic inverse problem, Markov processes, Monte Carlo methods}, isbn = {978-1-4244-7934-4}, title = {Stochastic Inversion Approach to Measurement of Tube Properties Using Remote Field Technique}, keyword = {remote field technique, inductive sensors, stochastic inverse problem, Markov processes, Monte Carlo methods}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Hangzhou, Kina} }
@article{article, author = {Vasi\'{c}, Darko and Bilas, Vedran}, year = {2011}, pages = {1238-1242}, keywords = {remote field technique, inductive sensors, stochastic inverse problem, Markov processes, Monte Carlo methods}, isbn = {978-1-4244-7934-4}, title = {Stochastic Inversion Approach to Measurement of Tube Properties Using Remote Field Technique}, keyword = {remote field technique, inductive sensors, stochastic inverse problem, Markov processes, Monte Carlo methods}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Hangzhou, Kina} }




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