Modelling and Data Analysis
2024. Vol. 14, no. 1, 155–169
doi:10.17759/mda.2024140110
ISSN: 2219-3758 / 2311-9454 (online)
Design of Specialized Software for the Operational Calculation of Hydrocarbon Losses in Reservoirs
Abstract
Ensuring modern storage of hydrocarbons is not a trivial task. The existing requirements imposed by environmental and fire protection legislation, as well as the economics of production, oblige the owners of tank farms to take measures for calculation and reduction of petroleum products losses. For solvation of this problem, a group of calculation methods has been formed. They are allow to determine the volume of hydrocarbon losses during large and small breaths in tank farms. At the same time, carrying out calculations and selecting the appropriate equipment to reduce losses is quite difficult for the engineering and technical personnel of oil storages. In this regard, based on the calculation methods of V.I. Chernikin, F.F. Abuzova and N.N. Konstantinov the software for calculating hydrocarbon losses in reservoirs from large and small respirations was developed. Software has the ability to store data for a month daily and with a system of issuing recommendations regarding the use of means to reduce hydrocarbon losses. To write the program code, C# was used in Visual Studio 2022. The demo version of the program allows to calculate the volume of losses of petroleum products in vertical steel tanks of various sizes and under changing environmental conditions, and also, based on the embedded database, recommend the necessary means of losses reduction for installation on the tank
General Information
Keywords: hydrocarbon losses, reservoir, quality management, process control, software development, calculation methods, C#
Journal rubric: Software
Article type: scientific article
DOI: https://doi.org/10.17759/mda.2024140110
Received: 26.03.2024
For citation: Shcherban P.S., Abu-Hamdi R.V. Design of Specialized Software for the Operational Calculation of Hydrocarbon Losses in Reservoirs. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2024. Vol. 14, no. 1, pp. 155–169. DOI: 10.17759/mda.2024140110. (In Russ., аbstr. in Engl.)
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