The paper presents a conceptual approach to mathematical modeling of sampling devices (SD) using theoretical and empirical research methods. The theoretical method consisted in the development of a model of SDs, allowing to reproduce their characteristics during operation, as well as to quantify the current values of operational characteristics when operating conditions change. The mathematical model was developed using the finite element method. The model was verified for consistency with the results of experimental studies conducted using bench equipment and in field conditions. The conducted studies enable to optimize the design of the SD flow sections to achieve optimal sample representativeness observed under given conditions. The design of flow sections was optimized to determine the calculated area of the SD inlet cross-section, provided for by the algorithm for calculating oil flow through the SD according to the Recommendation on Interstate Standardization 109-2011. In addition, the shape of the inlet hole of the sampling device, specified by GOST 2517, can be optimized. In the present studies SDs with one and five slit-type holes were subjected to optimization. The studies were conducted for the following medium: stock tank oil according to GOST R 51858 and diesel fuel according to GOST 32511. Additionally, mathematical modeling was performed for air valves used in lease automatic custody transfer of oil and oil products. The achieved results made it possible to establish the need for slots of different profiles in the sampling device design and to evaluate their impact on the representativeness of samples taken using SD.
References
1. Zholobov V.V., Moretskiy V.Yu., Mathematical model of stratified flow of two-phased and two-component liquid in a pipeline (In Russ.), Nauka i tehnologii truboprovodnogo transporta nefti i nefteproduktov = Science & Technologies: Oil and Oil Products Pipeline Transportation, 2011, no. 3, pp. 50-57.
2. Buyanov I.V., Aralov O.V., Korolenok A.M. et al., Main results of sampling equipment study (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2022, no. 4, pp. 86-89, DOI: https://doi.org/10.24887/0028-2448-2022-4-86-89
