Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 3, 2026Process Safety and Environmental ProtectionOpen Access

An Ergun-Based Model for Estimating Pressure Drop Buildup from Fines Deposition during Hydrotreating of Bitumen-Derived Gas Oil

View Full Paper
Ask AI
Bookmark
Share

Authors

SKSimon KwaoVSV. SundaramurthyADAjay K. Dalai

Discussion

Loading...

Member takes

Overview

Modeling study reveals dynamic pressure drop buildup from fines deposition during bitumen-derived gas oil hydrotreating, highlighting fines size and gas velocity as key operational drivers.

Key Points

  • To develop a predictive Ergun-based hydrodynamic model that quantifies progressive pressure drop buildup caused by fines deposition during the hydrotreating of bitumen-derived gas oil.
  • Formulated an extended Ergun model integrating a two-phase flow multiplier with a time-dependent fines deposition multiplier based on operating conditions and bed packing properties.
  • Estimated model parameters using non-linear regression on experimental data collected at temperatures of 350–390 °C, gas velocities of 0.03–0.10 m/s, packing sizes of 2.1–2.7 mm, and fines sizes of 0.2–20 µm.
  • Performed sensitivity analysis to isolate individual and interactive effects of operating parameters on reactor pressure drop.
  • The integrated model demonstrated strong predictive capability for pressure drop buildup across the full experimental range of gas velocities, temperatures, and particle sizes.
  • Fines particle size exhibited the strongest individual influence on pressure drop increase within the packed bed.
  • Gas velocity and operating temperature emerged as the dominant variables driving pressure drop accumulation when parameter interactions were evaluated.

Cite This Study

Kwao et al. (2026) studied this question.

synapsesocial.com/papers/6a99352e636c6408cfa7d2dehttps://doi.org/10.1016/j.cherd.2026.08.062
View Full Paper
Ask AI
Bookmark
Share