Profiling and trending of coriolis meter secondary process value drift due to ambient temperature fluctuations

Gordon Lindsay; John Hay; Norman Glen; Seyed Mohammad Shariatipour

doi:10.1016/j.flowmeasinst.2017.12.007

Profiling and trending of coriolis meter secondary process value drift due to ambient temperature fluctuations

Gordon Lindsay, John Hay, Norman Glen, Seyed Mohammad Shariatipour

School of Energy, Construction and Environment

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

51 Downloads (Pure)

Abstract

Coriolis mass flow metering technology is widely used within the Oil and Gas industry. There is now an increased focus on utilising the technology's ability to calculate fluid density in areas such as fluid contamination indication and feedback for process control loops. However, it is common for flow meters of this type to be installed within environments that are subject to severe variations in ambient conditions. One such condition, which this paper seeks to address is the effect that air temperature surrounding the meter body can have on the Coriolis meter's ability to correctly calculate fluid density, specifically in scenarios where there is a significant differential between the fluid temperature present within the meter internals and the surrounding ambient air temperature. This paper details an experimental program that was carried out at NEL where the ambient temperature surrounding a Coriolis meter was varied in a controlled manner while diagnostic data output from the meter were logged over time. Analysis of the data has allowed for the identification of repeatable drift in both the calculated fluid density and indicated fluid temperature process values output by the metering technology.

Original language	English
Pages (from-to)	225-232
Number of pages	8
Journal	Flow Measurement and Instrumentation
Volume	59
Early online date	14 Dec 2017
DOIs	https://doi.org/10.1016/j.flowmeasinst.2017.12.007
Publication status	Published - Mar 2018

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Flow Measurement and Instrumentation. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Flow Measurement and Instrumentation, [59, (2017)] DOI: 10.1016/j.flowmeasinst.2017.12.007

© 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

Coriolis Ambient Temperature Density

Access to Document

10.1016/j.flowmeasinst.2017.12.007

Post-PrintAccepted author manuscript, 1.24 MBLicence: CC BY-NC-ND

10 Citations
1 Conference proceeding

Detecting and Correcting for Coriolis Meter Calculated Fluid Density Drift Due to Ambient Temperature Variation
Lindsay, G., Shariatipour, S. M., Glen, N., Henry, M. & Churchill, S., 22 Oct 2018, North Sea Flow Measurement Workshop 2018: 36th International Conference. Aberdeen
Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding

Cite this

@article{e828e2d82c48425aa6534c5a73b08c52,

title = "Profiling and trending of coriolis meter secondary process value drift due to ambient temperature fluctuations",

abstract = "Coriolis mass flow metering technology is widely used within the Oil and Gas industry. There is now an increased focus on utilising the technology's ability to calculate fluid density in areas such as fluid contamination indication and feedback for process control loops. However, it is common for flow meters of this type to be installed within environments that are subject to severe variations in ambient conditions. One such condition, which this paper seeks to address is the effect that air temperature surrounding the meter body can have on the Coriolis meter's ability to correctly calculate fluid density, specifically in scenarios where there is a significant differential between the fluid temperature present within the meter internals and the surrounding ambient air temperature. This paper details an experimental program that was carried out at NEL where the ambient temperature surrounding a Coriolis meter was varied in a controlled manner while diagnostic data output from the meter were logged over time. Analysis of the data has allowed for the identification of repeatable drift in both the calculated fluid density and indicated fluid temperature process values output by the metering technology.",

keywords = "Coriolis Ambient Temperature Density",

author = "Gordon Lindsay and John Hay and Norman Glen and Shariatipour, {Seyed Mohammad}",

note = "NOTICE: this is the author{\textquoteright}s version of a work that was accepted for publication in Flow Measurement and Instrumentation. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Flow Measurement and Instrumentation, [59, (2017)] DOI: 10.1016/j.flowmeasinst.2017.12.007 {\textcopyright} 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/",

year = "2018",

month = mar,

doi = "10.1016/j.flowmeasinst.2017.12.007",

language = "English",

volume = "59",

pages = "225--232",

journal = "Flow Measurement and Instrumentation",

issn = "0955-5986",

publisher = "Permagon Press",

}

TY - JOUR

T1 - Profiling and trending of coriolis meter secondary process value drift due to ambient temperature fluctuations

AU - Lindsay, Gordon

AU - Hay, John

AU - Glen, Norman

AU - Shariatipour, Seyed Mohammad

N1 - NOTICE: this is the author’s version of a work that was accepted for publication in Flow Measurement and Instrumentation. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Flow Measurement and Instrumentation, [59, (2017)] DOI: 10.1016/j.flowmeasinst.2017.12.007 © 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

PY - 2018/3

Y1 - 2018/3

N2 - Coriolis mass flow metering technology is widely used within the Oil and Gas industry. There is now an increased focus on utilising the technology's ability to calculate fluid density in areas such as fluid contamination indication and feedback for process control loops. However, it is common for flow meters of this type to be installed within environments that are subject to severe variations in ambient conditions. One such condition, which this paper seeks to address is the effect that air temperature surrounding the meter body can have on the Coriolis meter's ability to correctly calculate fluid density, specifically in scenarios where there is a significant differential between the fluid temperature present within the meter internals and the surrounding ambient air temperature. This paper details an experimental program that was carried out at NEL where the ambient temperature surrounding a Coriolis meter was varied in a controlled manner while diagnostic data output from the meter were logged over time. Analysis of the data has allowed for the identification of repeatable drift in both the calculated fluid density and indicated fluid temperature process values output by the metering technology.

AB - Coriolis mass flow metering technology is widely used within the Oil and Gas industry. There is now an increased focus on utilising the technology's ability to calculate fluid density in areas such as fluid contamination indication and feedback for process control loops. However, it is common for flow meters of this type to be installed within environments that are subject to severe variations in ambient conditions. One such condition, which this paper seeks to address is the effect that air temperature surrounding the meter body can have on the Coriolis meter's ability to correctly calculate fluid density, specifically in scenarios where there is a significant differential between the fluid temperature present within the meter internals and the surrounding ambient air temperature. This paper details an experimental program that was carried out at NEL where the ambient temperature surrounding a Coriolis meter was varied in a controlled manner while diagnostic data output from the meter were logged over time. Analysis of the data has allowed for the identification of repeatable drift in both the calculated fluid density and indicated fluid temperature process values output by the metering technology.

KW - Coriolis Ambient Temperature Density

U2 - 10.1016/j.flowmeasinst.2017.12.007

DO - 10.1016/j.flowmeasinst.2017.12.007

M3 - Article

VL - 59

SP - 225

EP - 232

JO - Flow Measurement and Instrumentation

JF - Flow Measurement and Instrumentation

SN - 0955-5986

ER -

Profiling and trending of coriolis meter secondary process value drift due to ambient temperature fluctuations

Abstract

Bibliographical note

Keywords

Access to Document

Fingerprint

Research output

Detecting and Correcting for Coriolis Meter Calculated Fluid Density Drift Due to Ambient Temperature Variation

Cite this