Research Article

A Wet-Stock Management and Leak Detection System for Fuel Tanks

Volume: 6 Number: 2 December 29, 2020
  • Ayşe Nur Dalman
  • Murat Oluş Özbek *
EN TR

A Wet-Stock Management and Leak Detection System for Fuel Tanks

Abstract

One of the critical problems in wet-stock management is inaccurate (poor) tank calibration that masks the leakages from the underground storage tanks (USTs). Moreover, obtaining the correct tank parameters or re-calibration is an expensive procedure if not impossible. This study aims to prevent the masking effect of several tank parameters on the tank calibration chart and to improve the leak detection and wet-stock management for fuel storage tanks. This goal is achieved through obtaining the mathematical models for simple cylindrical tank that convert the measured liquid height to accurate liquid volume by taking into account the tank deformations. The accounted defor-mations in tank parameters are errors in radius, length, probe offset and axial and radial tank tilts, as well as volume change with temperature. The simulations using the actual data gathered from a commercial fuel service station showed that the approach developed in this study is valid. The deformation included tank models successfully pre-dicted the real fuel volumes. The results showed that the variance reduced from -300 L – +100 L range to -20 L – +20 L range for, which brings 67.2% improvement over the cumulative variance. This study also shows that obtaining the precise volume measurements by introducing models that account for the deformations in the UST is possible.

Keywords

References

  1. Accessories For Chromatography (AFC). (2010). Combustibles. Retrieved from Gas Detection & Air Monitoring Specialists: http://www.afcintl.com/pdfs/applications/combustibles.pdf
  2. Advanced Practice Education Associates (APEA). (2009). APEA Training Course – Wetstock Management. Retrieved from England: https://apea.org.uk/pages/training
  3. Asis Otomasyon Akaryakıt Sistemleri (ASIS). (2017). CalibeX 3D Laser Calibration. Retrieved from https://www.youtube.com/watch?v=eIg7wENiQJA
  4. Caihong Li, Y. Y., Lulu Song, Yunjian Tan, and Guochen Wang. (2013). Mathematical Model Based on BP Neural Network Algorithm for the Deflection Identification of Storage Tank and Calibration of Tank Capacity Chart. 13. https://doi.org/10.1155/2013/923036
  5. Chen, Z. Y. S. (2012). Deformation Identification and Tank Capacity Table Calibration of the Storage Tank Applied Mechanics and Materials, 184-185, 110-113. https://doi.org/10.4028/www.scientific.net/AMM.184-185.110
  6. Environmental Protection Agency (EPA). (2013). Wetstock Reconciliation at Fuel Storage Facilities - An Operator’s Guide. Retrieved from: http://oldsite.apea.org.uk/download/Wetstock_ Reconciliation_At_Fuel_Storage_Facilities.pdf
  7. European Committee for Standardization (EN). (2016). Leak detection systems - Part 5: Requirements and test/assessment methods for in-tank gauge systems and pressurised pipework systems. Retrieved from https://standards.iteh.ai/catalog/standards/cen/eb73f5f1-eb15-44a2-91b7-603a1a33c464/en-13160-5-2016
  8. Environmental Protection Agency (EPA). (1995). Introduction to Statistical Inventory Reconciliation for Underground Storage Tanks. Retrieved from US: https://www.epa.gov/ust/introduction-statistical-inventory-reconciliation-underground-storage-tanks

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Ayşe Nur Dalman This is me
0000-0001-6929-2329
Türkiye

Murat Oluş Özbek * This is me
0000-0001-5188-6807
Türkiye

Publication Date

December 29, 2020

Submission Date

February 12, 2020

Acceptance Date

October 18, 2021

Published in Issue

Year 2020 Volume: 6 Number: 2

APA
Dalman, A. N., & Özbek, M. O. (2020). A Wet-Stock Management and Leak Detection System for Fuel Tanks. Journal of Advanced Research in Natural and Applied Sciences, 6(2), 303-316. https://doi.org/10.28979/jarnas.845193
AMA
1.Dalman AN, Özbek MO. A Wet-Stock Management and Leak Detection System for Fuel Tanks. JARNAS. 2020;6(2):303-316. doi:10.28979/jarnas.845193
Chicago
Dalman, Ayşe Nur, and Murat Oluş Özbek. 2020. “A Wet-Stock Management and Leak Detection System for Fuel Tanks”. Journal of Advanced Research in Natural and Applied Sciences 6 (2): 303-16. https://doi.org/10.28979/jarnas.845193.
EndNote
Dalman AN, Özbek MO (December 1, 2020) A Wet-Stock Management and Leak Detection System for Fuel Tanks. Journal of Advanced Research in Natural and Applied Sciences 6 2 303–316.
IEEE
[1]A. N. Dalman and M. O. Özbek, “A Wet-Stock Management and Leak Detection System for Fuel Tanks”, JARNAS, vol. 6, no. 2, pp. 303–316, Dec. 2020, doi: 10.28979/jarnas.845193.
ISNAD
Dalman, Ayşe Nur - Özbek, Murat Oluş. “A Wet-Stock Management and Leak Detection System for Fuel Tanks”. Journal of Advanced Research in Natural and Applied Sciences 6/2 (December 1, 2020): 303-316. https://doi.org/10.28979/jarnas.845193.
JAMA
1.Dalman AN, Özbek MO. A Wet-Stock Management and Leak Detection System for Fuel Tanks. JARNAS. 2020;6:303–316.
MLA
Dalman, Ayşe Nur, and Murat Oluş Özbek. “A Wet-Stock Management and Leak Detection System for Fuel Tanks”. Journal of Advanced Research in Natural and Applied Sciences, vol. 6, no. 2, Dec. 2020, pp. 303-16, doi:10.28979/jarnas.845193.
Vancouver
1.Ayşe Nur Dalman, Murat Oluş Özbek. A Wet-Stock Management and Leak Detection System for Fuel Tanks. JARNAS. 2020 Dec. 1;6(2):303-16. doi:10.28979/jarnas.845193

 

 

 

TR Dizin 20466
 

 

SAO/NASA Astrophysics Data System (ADS)    34270

                                                   American Chemical Society-Chemical Abstracts Service CAS    34922 

 

DOAJ 32869

EBSCO 32870

Scilit 30371                        

SOBİAD 20460

 

29804 JARNAS is licensed under a Creative Commons Attribution-NonCommercial 4.0 International Licence (CC BY-NC).