Abstract
In the fuel industry, as in any other, it is important to have control over the resources that directly generate profit. In the case of a petrol station this is a gasoline that passes a very complicated path from the terminal, through underground tank up to the tank inside the car. At most stages of its journey, the system can control the volume, height, temperature, the physical processes which is subjected to and based on this, predict its state. This is done by analysing the telemetry data and various types of flow models. In this paper we want to concentrate on one of the most difficult parts of this system. Difficult, because usually undocumented and invisible - a system of piping between the tank and the fuel distributor. Fuel that is located there, is usually beyond the observation of telemetry system and its volume changes over time. We want to focus on the nature of these changes and predict its impact on the balance of the fuel at the station.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brown Jr., G.F., Rogers, W.F.: A bayesian approach to demand estimation and inventory provisioning. Technical report DTIC Document (1972)
Cengel, Y.: Introduction to Thermodynamics and Heat Transfer+ EES Software. McGraw Hill Higher Education Press, New York (2007)
Gadzhiev, C.M.: Detection of and allowance for loss of petroleum products due to leaks and evaporation in tanks. Meas. Tech. 37(2), 159–161 (1994)
Hestenes, M.R.: Multiplier and gradient methods. J. Optim. Theory Appl. 4(5), 303–320 (1969)
Keating, J.P., Dunn, W.W., Dunn, W.D.: Storage tank and line leakage detection and inventory reconciliation method. US Patent 5,297,42 3 (1994)
O’connor, P.M.: Automated statistical inventory reconcilation system for convenience stores and auto/truck service stations. US Patent 5,400,253 (1995)
Rogers, W.F.: Exact null distributions and asymptotic expansions for rank test statistics. Ph.D. thesis, Department of Statistics, Stanford University (1971)
Rogers, W.F., Collins, J.R., Jones, J.B.: Method and apparatus for monitoring operational performance of fluid storage systems. US Patent 5,757,664 (1998)
Rogers, W.F., Collins, J.R., Jones, J.B.: Method and apparatus for monitoring operational performance of fluid storage systems. US Patent 6,401,045 (2002)
US Environmental Protection Agency: Standard Test Procedures For Evaluating Leak Detection Methods. Automatic Tank Gauging Systems (1990)
US Environmental Protection Agency: Doing Inventory Control Right For Underground Storage Tanks (1993)
US Environmental Protection Agency: Guidance for Data Quality Assessment. Practical Methods for Data Analysis (1993)
US Environmental Protection Agency: Introduction To Statistical Inventory Reconciliation For Underground Storage Tanks (1995)
Williams, B.N., Kauffmann, G.A.: Method and apparatus for continuous tank monitoring. US Patent 5,363,093 (1994)
Acknowledgement
The project was founded by the Polish Council of the National Centre for Research and Development within the DEMONSTRATOR+ program.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Foszner, P., Gruca, A., Bularz, J. (2016). Fuel Pipeline Thermal Conductivity in Automatic Wet Stock Reconciliation Systems. In: Perner, P. (eds) Advances in Data Mining. Applications and Theoretical Aspects. ICDM 2016. Lecture Notes in Computer Science(), vol 9728. Springer, Cham. https://doi.org/10.1007/978-3-319-41561-1_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-41561-1_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-41560-4
Online ISBN: 978-3-319-41561-1
eBook Packages: Computer ScienceComputer Science (R0)