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Electrical Interference Simulation and Prediction Model for Acoustoelectric Logging Detector

Acoustic logging instruments generate high voltages in the order of thousands of volts. Electrical interferences are thus induced by high-voltage pulses that affect the logging tool and make it inoperable owing to damaged components in severe cases. High-voltage pulses from the acoustoelectric loggi...

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Autores principales: Chen, Hongzhi, Lu, Junqiang, Ju, Xiaodong, Men, Baiyong, Qiao, Wenxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142113/
https://www.ncbi.nlm.nih.gov/pubmed/37112269
http://dx.doi.org/10.3390/s23083928
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author Chen, Hongzhi
Lu, Junqiang
Ju, Xiaodong
Men, Baiyong
Qiao, Wenxiao
author_facet Chen, Hongzhi
Lu, Junqiang
Ju, Xiaodong
Men, Baiyong
Qiao, Wenxiao
author_sort Chen, Hongzhi
collection PubMed
description Acoustic logging instruments generate high voltages in the order of thousands of volts. Electrical interferences are thus induced by high-voltage pulses that affect the logging tool and make it inoperable owing to damaged components in severe cases. High-voltage pulses from the acoustoelectric logging detector interfere with the electrode measurement loop through capacitive coupling, which has seriously affected the acoustoelectric signal measurements. In this paper, we simulate high voltage pulses, capacitive coupling and electrode measurement loops based on qualitative analysis of the causes of electrical interference. Based on the structure of the acoustoelectric logging detector and the logging environment, an electrical interference simulation and prediction model was developed to quantify the characteristics of the electrical interference signal.
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spelling pubmed-101421132023-04-29 Electrical Interference Simulation and Prediction Model for Acoustoelectric Logging Detector Chen, Hongzhi Lu, Junqiang Ju, Xiaodong Men, Baiyong Qiao, Wenxiao Sensors (Basel) Article Acoustic logging instruments generate high voltages in the order of thousands of volts. Electrical interferences are thus induced by high-voltage pulses that affect the logging tool and make it inoperable owing to damaged components in severe cases. High-voltage pulses from the acoustoelectric logging detector interfere with the electrode measurement loop through capacitive coupling, which has seriously affected the acoustoelectric signal measurements. In this paper, we simulate high voltage pulses, capacitive coupling and electrode measurement loops based on qualitative analysis of the causes of electrical interference. Based on the structure of the acoustoelectric logging detector and the logging environment, an electrical interference simulation and prediction model was developed to quantify the characteristics of the electrical interference signal. MDPI 2023-04-12 /pmc/articles/PMC10142113/ /pubmed/37112269 http://dx.doi.org/10.3390/s23083928 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Hongzhi
Lu, Junqiang
Ju, Xiaodong
Men, Baiyong
Qiao, Wenxiao
Electrical Interference Simulation and Prediction Model for Acoustoelectric Logging Detector
title Electrical Interference Simulation and Prediction Model for Acoustoelectric Logging Detector
title_full Electrical Interference Simulation and Prediction Model for Acoustoelectric Logging Detector
title_fullStr Electrical Interference Simulation and Prediction Model for Acoustoelectric Logging Detector
title_full_unstemmed Electrical Interference Simulation and Prediction Model for Acoustoelectric Logging Detector
title_short Electrical Interference Simulation and Prediction Model for Acoustoelectric Logging Detector
title_sort electrical interference simulation and prediction model for acoustoelectric logging detector
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142113/
https://www.ncbi.nlm.nih.gov/pubmed/37112269
http://dx.doi.org/10.3390/s23083928
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