GAP ANALYSIS AND OPTIMIZATION OF HYDROPROCESSING PREDICTION MODEL

This paper discusses the process of gap identification, analysis and optimization of an existing hydrotreating process prediction model used in petroleum refineries. The performance of the model is investigated for a set of 16 specially selected crude oil feeds. Global optimization with genetic algorithm is conducted for a number of the model’s parameters. The simulation, testing and validation of the investigated model show improved prediction accuracy and efficiency. MATLAB ® is used as a main working environment for this investigation. Most of the tasks are automated and included in a graphical user interface tool that can assist the company for further model analysis, optimization, testing and validation of currently used models.

[1]  Jorge Ancheyta,et al.  Mathematical modeling and simulation of hydrotreating reactors: Cocurrent versus countercurrent operations , 2007 .

[2]  I. Vasalos,et al.  HdPro: a mathematical model of trickle-bed reactors for the catalytic hydroprocessing of oil feedstocks , 2003 .

[3]  J. Ancheyta,et al.  A review of recent advances on process technologies for upgrading of heavy oils and residua , 2007 .

[4]  Antoniya Georgieva,et al.  A hybrid meta-heuristic for global optimisation using low-discrepancy sequences of points , 2010, Comput. Oper. Res..

[5]  J. Ancheyta,et al.  A modeling study of the effect of reactor configuration on the cycle length of heavy oil fixed-bed hydroprocessing , 2011 .

[6]  Rainer Reimert,et al.  Trickle‐bed reactor model for desulfurization and dearomatization of diesel , 2002 .

[7]  Edward Furimsky,et al.  DEACTIVATION OF HYDROPROCESSING CATALYSTS , 1999 .

[8]  Faïçal Larachi,et al.  Modelling and simulation of trickle‐bed reactors using computational fluid dynamics: A state‐of‐the‐art review , 2013 .

[9]  J. Ancheyta,et al.  Modeling, simulation and analysis of heavy oil hydroprocessing in fixed-bed reactors employing liquid quench streams , 2009 .

[10]  H. Kumar.  Mechanistic kinetic modeling of the hydrocracking of complex feedstocks , 2009 .

[11]  P. Raybaud,et al.  THERMIDOR: A new model for combined simulation of operations and optimization of catalysts in residues hydroprocessing units , 2005 .

[12]  S. K. Bej,et al.  Performance Evaluation of Hydroprocessing CatalystsA Review of Experimental Techniques , 2002 .

[13]  Jinwen Chen,et al.  Review on criteria to ensure ideal behaviors in trickle-bed reactors , 2009 .

[14]  E. Kam,et al.  A Hydroprocessing Multicatalyst Deactivation and Reactor Performance Model−Pilot-Plant Life Test Applications , 2005 .

[15]  J. Ancheyta,et al.  Modeling residue hydroprocessing in a multi-fixed-bed reactor system , 2008 .

[16]  Gilbert F. Froment,et al.  Mechanistic Kinetic Modeling of the Hydrocracking of Complex Feedstocks, such as Vacuum Gas Oils , 2007 .

[17]  S. T. Sie.  Consequences of catalyst deactivation for process design and operation , 2001 .

[18]  J. Ancheyta,et al.  Kinetic Model for Moderate Hydrocracking of Heavy Oils , 2005 .

[19]  Jorge Ancheyta,et al.  Kinetic modeling of hydrocracking of heavy oil fractions: A review , 2005 .

[20]  D. Gokak,et al.  Trickle bed reactor model to simulate the performance of commercial diesel hydrotreating unit , 2007 .

[21]  K. S. Balaraman,et al.  Three-Phase Reactor Model to Simulate the Performance of Pilot-Plant and Industrial Trickle-Bed Reactors Sustaining Hydrotreating Reactions , 2004 .

[22]  Edward Furimsky,et al.  Selection of catalysts and reactors for hydroprocessing , 1998 .

[23]  M. Omizo,et al.  Modeling , 1983, Encyclopedic Dictionary of Archaeology.

[24]  J. Ancheyta,et al.  Hydroprocessing of Maya heavy crude oil in two reaction stages , 2002 .

[25]  A. A. Stanislaus,et al.  Multicatalyst System Testing Methodology for Upgrading Residual Oils , 2008 .

[26]  Jorge Ancheyta,et al.  Modeling of Hydrodesulfurization (HDS), Hydrodenitrogenation (HDN), and the Hydrogenation of Aromatics (HDA) in a Vacuum Gas Oil Hydrotreater , 2004 .