thermodynamic model, MFCCT has consistently demon- strated reliable performance across diverse datasets, including crude oils and refinery streams. Its ability to accu - rately predict asphaltene precipitation allows refiners to identify stable blends, significantly cutting costs associated with trial-and-error testing. Furthermore, its integration with the Petro-SIM process simulator enhances planning and scheduling capabilities, providing refiners with a more comprehensive and efficient approach. By combining predictive accuracy with seamless integra- tion, MFCCT turns operational challenges into opportuni- ties. It enables refiners to achieve immediate operational efficiencies while advancing long-term sustainability goals, aligning with the mission of Bringing Decarbonization to Life.
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Multiflash, Petro-SIM, and Bringing Decarbonization to Life are marks of KBC (A Yokogawa Company).
Acknowledgements Mike Aylott, Merih Mustafa, Nuno Pedrosa, Xiaohong Zhang, and Richard Szczepanski, all from KBC (A Yokogawa Company), for the technical inputs and contributions in developing the tool. Extends the appreciation to all the refiners who supplied the datasets for valida - tions and case studies. References 1 Falkler, T., Sandu, C., Fine-tune processing heavy crudes in your facil - ity, Hydrocarbon Processing, September 2010, pp67-73. 2 ASTM D7112, Standard test method for determining stability and compatibility of heavy fuel oils and crude oils by heavy fuel oil stability analyzer (optical detection), ASTM International, 2020. 3 ASTM D8253, Standard test method for determination of the asphal- tene solvency properties of bitumen, crude oil, condensate and/or related products for the purpose of calculating stability, compatibility for blending, fouling, and processibility (Manual microscopy method), ASTM International, 2021. 4 ASTM D7060, Determination of the maximum flocculation ratio and peptizing power in residual and heavy fuel oils (Optical Detection Method), ASTM International, 2020. 5 ASTM D7157, Standard test method for determination of intrin- sic stability of asphaltene-containing residues, heavy fuel oils, and crude oil (n-heptane phase separation; optical detection), ASTM International, 2020. 6 Wiehe, I. A., Asphaltene solubility and fluid compatibility, Energy & Fuels 26 (7), 2012, pp4004-4016. 7 Zhang, X., Pedrosa, N., Moorwood, T., Modeling asphaltene phase behavior: comparison of methods for flow assurance studies, Energy Fuels , 26 (5), 2012, pp2611-2620. Asok Tharanivasan is an R&D Senior Consultant at KBC (A Yokogawa Company), specialising in asphaltene phase behaviour modelling and developing fluid property engines for process simulation tools. With 15 years in the oil industry, his expertise includes petroleum thermo - dynamics, hydrocarbon PVT phase behaviour, fluid characterisation, and flow assurance. Tharanivasan holds a PhD in chemical engineer - ing and is a registered Professional Engineer in Alberta, Canada. Michelle Wicmandy is Marketing Campaigns Manager at KBC (A Yokogawa Company) in Houston, Texas, with more than 20 years of experience in marketing and communications. She serves on the Forbes Communication Council and has contributed to both academic and trade publications. Wicmandy holds a DBA in business adminis - tration. Email: michelle.wicmandy@kbc.global
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