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Design of a Real-Time Salinity Detection System for Water Injection Wells Based on Fuzzy Control

Salinity is an important index of water quality in oilfield water injection engineering. To address the need for real-time measurement of salinity in water flooding solutions during oilfield water injection, a salinity measurement system that can withstand a high temperature environment was designed...

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Detalles Bibliográficos
Autores principales: You, Bo, Yue, Yuandong, Sun, Mingxiao, Li, Jiayu, Jia, Deli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124423/
https://www.ncbi.nlm.nih.gov/pubmed/33925180
http://dx.doi.org/10.3390/s21093086
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author You, Bo
Yue, Yuandong
Sun, Mingxiao
Li, Jiayu
Jia, Deli
author_facet You, Bo
Yue, Yuandong
Sun, Mingxiao
Li, Jiayu
Jia, Deli
author_sort You, Bo
collection PubMed
description Salinity is an important index of water quality in oilfield water injection engineering. To address the need for real-time measurement of salinity in water flooding solutions during oilfield water injection, a salinity measurement system that can withstand a high temperature environment was designed. In terms of the polarization and capacitance effects, the system uses an integrator circuit to collect information and fuzzy control to switch gears to expand the range. Experimental results show that the system can operate stably in a high-temperature environment, with an accuracy of 0.6% and an uncertainty of 0.2% in the measurement range of 1–10 g/L.
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spelling pubmed-81244232021-05-17 Design of a Real-Time Salinity Detection System for Water Injection Wells Based on Fuzzy Control You, Bo Yue, Yuandong Sun, Mingxiao Li, Jiayu Jia, Deli Sensors (Basel) Article Salinity is an important index of water quality in oilfield water injection engineering. To address the need for real-time measurement of salinity in water flooding solutions during oilfield water injection, a salinity measurement system that can withstand a high temperature environment was designed. In terms of the polarization and capacitance effects, the system uses an integrator circuit to collect information and fuzzy control to switch gears to expand the range. Experimental results show that the system can operate stably in a high-temperature environment, with an accuracy of 0.6% and an uncertainty of 0.2% in the measurement range of 1–10 g/L. MDPI 2021-04-28 /pmc/articles/PMC8124423/ /pubmed/33925180 http://dx.doi.org/10.3390/s21093086 Text en © 2021 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
You, Bo
Yue, Yuandong
Sun, Mingxiao
Li, Jiayu
Jia, Deli
Design of a Real-Time Salinity Detection System for Water Injection Wells Based on Fuzzy Control
title Design of a Real-Time Salinity Detection System for Water Injection Wells Based on Fuzzy Control
title_full Design of a Real-Time Salinity Detection System for Water Injection Wells Based on Fuzzy Control
title_fullStr Design of a Real-Time Salinity Detection System for Water Injection Wells Based on Fuzzy Control
title_full_unstemmed Design of a Real-Time Salinity Detection System for Water Injection Wells Based on Fuzzy Control
title_short Design of a Real-Time Salinity Detection System for Water Injection Wells Based on Fuzzy Control
title_sort design of a real-time salinity detection system for water injection wells based on fuzzy control
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124423/
https://www.ncbi.nlm.nih.gov/pubmed/33925180
http://dx.doi.org/10.3390/s21093086
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