Standard

Effect of dielectric permittivity distribution in invaded zone on induction log data. / Yeltsov, Igor; Eltsov, Timofey; Makarov, Aleksandr и др.

в: CEUR Workshop Proceedings, Том 1839, 01.01.2017, стр. 508-523.

Результаты исследований: Научные публикации в периодических изданиях › статья по материалам конференции › Рецензирование

Harvard

Yeltsov, I, Eltsov, T, Makarov, A & Nikitenko, M 2017, 'Effect of dielectric permittivity distribution in invaded zone on induction log data', CEUR Workshop Proceedings, Том. 1839, стр. 508-523.

APA

Yeltsov, I., Eltsov, T., Makarov, A., & Nikitenko, M. (2017). Effect of dielectric permittivity distribution in invaded zone on induction log data. CEUR Workshop Proceedings, 1839, 508-523.

Vancouver

Yeltsov I, Eltsov T, Makarov A, Nikitenko M. Effect of dielectric permittivity distribution in invaded zone on induction log data. CEUR Workshop Proceedings. 2017 янв. 1;1839:508-523.

Author

Yeltsov, Igor ; Eltsov, Timofey ; Makarov, Aleksandr и др. / Effect of dielectric permittivity distribution in invaded zone on induction log data. в: CEUR Workshop Proceedings. 2017 ; Том 1839. стр. 508-523.

BibTeX

@article{5be3c2ac52704dd3aa3927b414a4f40d,
title = "Effect of dielectric permittivity distribution in invaded zone on induction log data",
abstract = "The objective of this study is to demonstrate the effect of changes in dielectric permittivity on induction logging data during invasion evolution. As an investigation method we use invasion simulation and electromagnetic (EM) modeling of induction tool responses. In this study we simulate signals of EM tools to analyze the influence of different types of dielectric permittivity distribution and to estimate the influence of dielectric permittivity on induction logging signals. Analysis of the computed induction tool signals shows that dielectric permittivity influence on magnetic field attenuation is higher than on magnetic field phase difference. Induction measurements (transmitter frequency > 1 MHz) are significantly influenced by dielectric permittivity distribution in the invaded zone. The highest influence of dielectric permittivity on induction logging signals is observed in the case of low formation water saturation and high resistivity of drilling mud.",
keywords = "Electromagnetic modeling, Induction logging tool, Invaded zone, Mud invasion, Near wellbore dielectric permittivity distribution, Near wellbore dielectric resistivity distribution",
author = "Igor Yeltsov and Timofey Eltsov and Aleksandr Makarov and Marina Nikitenko",
year = "2017",
month = jan,
day = "1",
language = "English",
volume = "1839",
pages = "508--523",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "CEUR-WS",

}

RIS

TY - JOUR

T1 - Effect of dielectric permittivity distribution in invaded zone on induction log data

AU - Yeltsov, Igor

AU - Eltsov, Timofey

AU - Makarov, Aleksandr

AU - Nikitenko, Marina

PY - 2017/1/1

Y1 - 2017/1/1

N2 - The objective of this study is to demonstrate the effect of changes in dielectric permittivity on induction logging data during invasion evolution. As an investigation method we use invasion simulation and electromagnetic (EM) modeling of induction tool responses. In this study we simulate signals of EM tools to analyze the influence of different types of dielectric permittivity distribution and to estimate the influence of dielectric permittivity on induction logging signals. Analysis of the computed induction tool signals shows that dielectric permittivity influence on magnetic field attenuation is higher than on magnetic field phase difference. Induction measurements (transmitter frequency > 1 MHz) are significantly influenced by dielectric permittivity distribution in the invaded zone. The highest influence of dielectric permittivity on induction logging signals is observed in the case of low formation water saturation and high resistivity of drilling mud.

AB - The objective of this study is to demonstrate the effect of changes in dielectric permittivity on induction logging data during invasion evolution. As an investigation method we use invasion simulation and electromagnetic (EM) modeling of induction tool responses. In this study we simulate signals of EM tools to analyze the influence of different types of dielectric permittivity distribution and to estimate the influence of dielectric permittivity on induction logging signals. Analysis of the computed induction tool signals shows that dielectric permittivity influence on magnetic field attenuation is higher than on magnetic field phase difference. Induction measurements (transmitter frequency > 1 MHz) are significantly influenced by dielectric permittivity distribution in the invaded zone. The highest influence of dielectric permittivity on induction logging signals is observed in the case of low formation water saturation and high resistivity of drilling mud.

KW - Electromagnetic modeling

KW - Induction logging tool

KW - Invaded zone

KW - Mud invasion

KW - Near wellbore dielectric permittivity distribution

KW - Near wellbore dielectric resistivity distribution

UR - http://www.scopus.com/inward/record.url?scp=85020487879&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85020487879

VL - 1839

SP - 508

EP - 523

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

ER -

ID: 10186080