Development of predictive model for determination of paraffin deposition in Kazakh crude oil

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.306971

Keywords:

forecasted model, paraffin deposition, pour point, melting point, PVT, multisolid model

Abstract

Kazakhstan's crude oil contains significant amounts of heavy hydrocarbons that solidify as wax at lower temperatures, leading to reduced flow rates and potential blockages in pipelines. Paraffin, a substantial component of crude oil, crystallizes below its pour point, posing challenges for maintaining efficient crude oil transportation. Addressing wax deposition is essential for optimizing oil flow and meeting global energy demand. This article presents an innovative method for forecasting paraffin deposition in Kazakh crude oil, using its chemical composition and thermobaric conditions. The methodology encompassed data analysis, ASTM-standard laboratory tests, and computations employing modified equations for fusion properties calculation. Outcomes comprise computed temperatures, enthalpy, and heat capacity related to melting, along with revised correlations for melting and pour points specific to Kazakh crude oils. The melting point correlation was modified to fit the properties of Kazakh crude oils, resulting in standard deviation of 0.55 %. Computed pour points for hydrocarbons improved by 17 % respectively. As a result of the research a novel software tool was developed and evaluated, highlighting the project’s contribution in providing an adjusted thermodynamic model for paraffin deposition forecasting. Comparisons between the developed software, PVTSim, and field data showed the wax appearance temperature (WAT) predictions closely aligned, with 0.74 % of error. This numerical tool shows potential in predicting wax deposition, thus aiding in the planning of oil production and refining processes in Kazakhstan. The importance of this work extends to its potential economic impact on companies and the nation, as well as its environmental benefits by facilitating eco-friendly planning of oil production facilities. Future research could expand on these findings to further enhance predictive models of paraffin precipitation across diverse conditions

Author Biographies

Adel Sarsenova, Kazakh-British Technical University

Master of Science in Petroleum Engineering, Senior Lecturer

School of Energy and Petroleum Industry

Jamilyam Ismailova, Satbayev University

PhD, Associate Professor

Department of Petroleum Engineering

Abdulakhat Ismailov, Kazakh-British Technical University

PhD, Candidate of Technical Sciences, Professor

School of Energy and Petroleum Industry

Dinara Delikesheva, Satbayev University

Master of Technical Sciences, Senior Lecturer

Department of Petroleum Engineering

Aigerim Kaidar, Satbayev University

Master of Science in Petroleum Engineering

Department of Petroleum Engineering

References

  1. Yang, S. (2016). Chemical Composition and Properties of Reservoir Fluids. Springer Mineralogy, 3–26. https://doi.org/10.1007/978-3-662-53529-5_1
  2. Leontaritis, K. J. (2007). Wax Flow Assurance Issues in Gas Condensate Multiphase Flowlines. All Days. https://doi.org/10.4043/18790-ms
  3. El-Dalatony, M. M., Jeon, B.-H., Salama, E.-S., Eraky, M., Kim, W. B., Wang, J., Ahn, T. (2019). Occurrence and Characterization of Paraffin Wax Formed in Developing Wells and Pipelines. Energies, 12 (6), 967. https://doi.org/10.3390/en12060967
  4. Yang, F., Chen, J., Yao, B., Li, C., Sun, G. (2021). Effects of EVA additive dosage on rheolegical properties of asphaltenic waxy oils. Acta Petrolei Sinica, 37 (3), 572–583. https://doi.org/10.3969/j.issn.1001-8719.2021.03.012
  5. Jafari Behbahani, T. (2016). Experimental study and a proposed new approach for thermodynamic modeling of wax precipitation in crude oil using a PC-SAFT model. Petroleum Science, 13 (1), 155–166. https://doi.org/10.1007/s12182-015-0071-4
  6. Dalirsefat, R., Feyzi, F. (2007). A thermodynamic model for wax deposition phenomena. Fuel, 86 (10-11), 1402–1408. https://doi.org/10.1016/j.fuel.2006.11.034
  7. Won, K. W. (1986). Thermodynamics for solid solution-liquid-vapor equilibria: wax phase formation from heavy hydrocarbon mixtures. Fluid Phase Equilibria, 30, 265–279. https://doi.org/10.1016/0378-3812(86)80061-9
  8. Lira‐Galeana, C., Firoozabadi, A., Prausnitz, J. M. (1996). Thermodynamics of wax precipitation in petroleum mixtures. AIChE Journal, 42 (1), 239–248. https://doi.org/10.1002/aic.690420120
  9. Pedersen, K. S. (1995). Prediction of Cloud Point Temperatures and Amount of Wax Precipitation. SPE Production & Facilities, 10 (01), 46–49. https://doi.org/10.2118/27629-pa
  10. Pan, H., Firoozabadi, A., Fotland, P. (1997). Pressure and Composition Effect on Wax Precipitation: Experimental Data and Model Results. SPE Production & Facilities, 12 (04), 250–258. https://doi.org/10.2118/36740-pa
  11. Hansen, J. H., Fredenslund, Aa., Pedersen, K. S., Rønningsen, H. P. (1988). A thermodynamic model for predicting wax formation in crude oils. AIChE Journal, 34 (12), 1937–1942. https://doi.org/10.1002/aic.690341202
  12. Asbaghi, E. V., Assareh, M. (2021). Application of a sequential multi-solid-liquid equilibrium approach using PC-SAFT for accurate estimation of wax formation. Fuel, 284, 119010. https://doi.org/10.1016/j.fuel.2020.119010
  13. Asbaghi, E. V., Nazari, F., Assareh, M., Nezhad, M. M. (2022). Toward an efficient wax precipitation model: Application of multi-solid framework and PC-SAFT with focus on heavy end characterization for different crude types. Fuel, 310, 122205. https://doi.org/10.1016/j.fuel.2021.122205
  14. Mashhadi Meighani, H., Ghotbi, C., Jafari Behbahani, T. (2016). A modified thermodynamic modeling of wax precipitation in crude oil based on PC-SAFT model. Fluid Phase Equilibria, 429, 313–324. https://doi.org/10.1016/j.fluid.2016.09.010
  15. Zhang, S., Fan, D., Gong, J., Wang, W. (2023). Simulation Studies of Wax Deposition in Oil-Gas Inclined Shafte. Chemistry and Technology of Fuels and Oils, 59 (5), 1097–1105. https://doi.org/10.1007/s10553-023-01622-5
  16. Sousa, A. M., Matos, H. A., Pereira, M. J. (2019). Modelling Paraffin Wax Deposition Using Aspen HYSYS and MATLAB. 29th European Symposium on Computer Aided Process Engineering, 973–978. https://doi.org/10.1016/b978-0-12-818634-3.50163-6
  17. Shahdi, A., Panacharoensawad, E. (2019). SP-Wax: Solid–liquid equilibrium thermodynamic modeling software for paraffinic systems. SoftwareX, 9, 145–153. https://doi.org/10.1016/j.softx.2019.01.015
  18. Riazi, M. (Ed.) (2005). Characterization and Properties of Petroleum Fractions. ASTM. https://doi.org/10.1520/mnl50_1st-eb
  19. Nichita, D. V., Goual, L., Firoozabadi, A. (2001). Wax Precipitation in Gas Condensate Mixtures. SPE Production & Facilities, 16 (04), 250–259. https://doi.org/10.2118/74686-pa
  20. Ismailova, J., Abdukarimov, A., Kabdushev, A., Taubayev, B. (2023). The implementation of fusion properties calculation to predict wax deposition. Eastern-European Journal of Enterprise Technologies, 4 (6 (124)), 18–27. https://doi.org/10.15587/1729-4061.2023.281657
Development of predictive model for determination of paraffin deposition in Kazakh crude oil

Downloads

Published

2024-06-28

How to Cite

Sarsenova, A., Ismailova, J., Ismailov, A., Delikesheva, D., & Kaidar, A. (2024). Development of predictive model for determination of paraffin deposition in Kazakh crude oil. Eastern-European Journal of Enterprise Technologies, 3(6 (129), 21–35. https://doi.org/10.15587/1729-4061.2024.306971

Issue

Vol. 3 No. 6 (129) (2024): Technology organic and inorganic substances

Section

Technology organic and inorganic substances

License

Copyright (c) 2024 Adel Sarsenova, Jamilyam Ismailova, Abdulakhat Ismailov, Dinara Delikesheva, Aigerim Kaidar

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.