Sustaining and Improving Meter Performance Using Base Meter Flow Rate Optimization
Abstract
Flow measurement is integral in optimizing industrial processes and ensuring compliance while managing costs. This paper presents findings about the importance of optimizing Base Meter Flow Rate (BM-FLR) in keeping the flow meter accurate and reliable. Data obtained included those between 200 and 600 LPM, with particular emphasis being placed on the optimum BM-FLR, which was determined to be 256.68 and 533.32 LPM. From the findings, it became evident that the meter had consistency within the said optimal BM-FLR, with an average meter factor ranging from 1.00042 to 1.00073, with all deviations being less than 0.02. However, when operated outside the optimum BM-FLR, there appeared to be a tendency of instability or drift especially beyond 256.68 LPM and beyond 533.32 LPM, posing a challenge to reliability and accuracy. Graphical analysis showed a steady rise in the meter factor with an increase in BM-FLR. It becomes important therefore to periodically calibrate and check the accuracy of the flow meter. Findings show that operation within the optimal BM-FLR enhances meter accuracy and reduces chances of recalibration and provides room for predictive maintenance of the flow meter.
References
American Petroleum Institute. (2016). Manual of Petroleum Measurement Standards (API MPMS).
Chaofan Li a b, Yan Zhu b c, Jing Wang d, Weiguang Liu e, Lide Fang a b c Ning Zhao a b c (2023). Mass flow rate measurement of gas-liquid two-phase flow using acoustic-optical-Venturi mutisensors.
Condriuc, I., et al. (2025). Gas flow rate measurement in two-phase flows using an optical channel body flow sensor. Design and validation of the single-channel prototype. Flow Measurement and Instrumentation, 104, 102901.
Department of Petroleum Resources. (2019). Procedure Guide for the Determination of the Quantity and Quality of Petroleum and Petroleum Products in Nigeria (DPR).
Jimba, J., Higgins, S., Nhunduru, R., Brown, R., Chinello, G., Maroto-Valer, M., & Jahanbakhsh, A. (2025). Evaluation of Coriolis Meter Performance for Flow and Density Measurement of Supercritical CCS Fluids.
Nigerian Midstream and Downstream Petroleum Regulatory Authority. (2023). Petroleum Measurement - Federal Republic of Nigeria Official Gazette, 110.(NMDPRA).
Peavy, J. V. (1981). Descriptive Statistics: Measures of Central Tendency and Dispersion.
Romeo, R., Postrioti, L., Torchio, D., Martino, M., & Malengo, A. (2025). Dynamic Calibration of Flow Meters Using Reference Flow Rate Profiles Generated by Injectors.
Spiegel, M. R., & Stephens, L. J. (2018). Schaum's Outline of Statistics (6th ed.).
Włodarczak, S., Ochowiak, M., Doligalski, M., Kwapisz, B., Krupińska, A., Mrugalski, M., & Matuszak, M. (2021). Flow Rate Control by Means of Flow Meter and PLC Controller.
Refbacks
- There are currently no refbacks.