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A Measuring System for Well Logging Attitude and a Method of Sensor Calibration

This paper proposes an approach for measuring the azimuth angle and tilt angle of underground drilling tools with a MEMS three-axis accelerometer and a three-axis fluxgate sensor. A mathematical model of well logging attitude angle is deduced based on combining space coordinate transformations and a...

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Detalles Bibliográficos
Autores principales: Ren, Yong, Wang, Yangdong, Wang, Mijian, Wu, Sheng, Wei, Biao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4063016/
https://www.ncbi.nlm.nih.gov/pubmed/24859028
http://dx.doi.org/10.3390/s140309256
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author Ren, Yong
Wang, Yangdong
Wang, Mijian
Wu, Sheng
Wei, Biao
author_facet Ren, Yong
Wang, Yangdong
Wang, Mijian
Wu, Sheng
Wei, Biao
author_sort Ren, Yong
collection PubMed
description This paper proposes an approach for measuring the azimuth angle and tilt angle of underground drilling tools with a MEMS three-axis accelerometer and a three-axis fluxgate sensor. A mathematical model of well logging attitude angle is deduced based on combining space coordinate transformations and algebraic equations. In addition, a system implementation plan of the inclinometer is given in this paper, which features low cost, small volume and integration. Aiming at the sensor and assembly errors, this paper analyses the sources of errors, and establishes two mathematical models of errors and calculates related parameters to achieve sensor calibration. The results show that this scheme can obtain a stable and high precision azimuth angle and tilt angle of drilling tools, with the deviation of the former less than ±1.4° and the deviation of the latter less than ±0.1°.
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spelling pubmed-40630162014-06-19 A Measuring System for Well Logging Attitude and a Method of Sensor Calibration Ren, Yong Wang, Yangdong Wang, Mijian Wu, Sheng Wei, Biao Sensors (Basel) Article This paper proposes an approach for measuring the azimuth angle and tilt angle of underground drilling tools with a MEMS three-axis accelerometer and a three-axis fluxgate sensor. A mathematical model of well logging attitude angle is deduced based on combining space coordinate transformations and algebraic equations. In addition, a system implementation plan of the inclinometer is given in this paper, which features low cost, small volume and integration. Aiming at the sensor and assembly errors, this paper analyses the sources of errors, and establishes two mathematical models of errors and calculates related parameters to achieve sensor calibration. The results show that this scheme can obtain a stable and high precision azimuth angle and tilt angle of drilling tools, with the deviation of the former less than ±1.4° and the deviation of the latter less than ±0.1°. Molecular Diversity Preservation International (MDPI) 2014-05-23 /pmc/articles/PMC4063016/ /pubmed/24859028 http://dx.doi.org/10.3390/s140309256 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Ren, Yong
Wang, Yangdong
Wang, Mijian
Wu, Sheng
Wei, Biao
A Measuring System for Well Logging Attitude and a Method of Sensor Calibration
title A Measuring System for Well Logging Attitude and a Method of Sensor Calibration
title_full A Measuring System for Well Logging Attitude and a Method of Sensor Calibration
title_fullStr A Measuring System for Well Logging Attitude and a Method of Sensor Calibration
title_full_unstemmed A Measuring System for Well Logging Attitude and a Method of Sensor Calibration
title_short A Measuring System for Well Logging Attitude and a Method of Sensor Calibration
title_sort measuring system for well logging attitude and a method of sensor calibration
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4063016/
https://www.ncbi.nlm.nih.gov/pubmed/24859028
http://dx.doi.org/10.3390/s140309256
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