2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
Process simulation based
optimization of a commercial amine
gas sweetening unit
w w w . c p f d - s o f t w a r e . c o m
gas sweetening unit
Dr. Abdallah Sofiane Berrouk
Mr. Satyadileep Dara
2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
Outline
� Introduction
� Process simulation model
� Customization of the model
w w w . c p f d - s o f t w a r e . c o m
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�Validation with plant data
�Optimization analysis
2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
� Amine sweetening unit #32, Habshan I, GASCO, Abu Dhabi, UAE
• Sour gas: H2S ~ 7% and CO2 ~ 6%
• Capacity – 400 MMSCFD
• Generic MDEA
� Process simulation model development
Introduction
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� Process simulation model development
• ProMax V 3.2
• TSWEET kinetics model
• Amine sweetening SRK
3
2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
Process simulation model
w w w . c p f d - s o f t w a r e . c o m
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2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
Customization of simulation model
�Reaction chemistry
R2NCH3 + H2S ��R2NCH4+ + HS- (Instantaneous)
CO2+ H2O + R2NCH3 ��R2NCH4+ + HCO3
- (Slow)
�TSWEET kinetics models
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�TSWEET kinetics models
• Sweet gas H2S & CO2 = f (Sour H2S, CO2, T, P, Residence time)
• Developed using wide range of operating data of various plants
�Customized TSWEET kinetic models
• Developed using operating data of a specific plant
2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
Customization of simulation model
�Assign data to ProMax existing model
� Identify properties of data that differs from plant data
�Provide constraint to the kinetic model in accordance with
the trend
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the trend
�Run new ProMax model
�Verify new data against plant data
2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
Validation of customized simulation model
w w w . c p f d - s o f t w a r e . c o m
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Average sweet gas H2S prediction error – 2.8 ppm
2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
Validation of customized simulation model
w w w . c p f d - s o f t w a r e . c o m
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Average sweet gas CO2 prediction error – 0.17%
2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
Optimization - Operational changes
External VariablesOperational
Variables
Desired
Specifications
� Solvent rate
� Steam to re-boiler
� Solvent strength
� Sweet gas H2S
� Sweet gas CO2
� Sour gas H2S
� Sour gas T
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� Solvent strength
� Lean solvent T
� Condenser T
� Sweet gas HHV
� Corrosion levels
� Sour gas T
� Sour gas rate
Optimum set of ‘operational variables’ is the key for efficient plant performance
2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
Operating conditions’ significance� Solvent circulation rate
• Sweet gas specs
• Rich amine loading (Corrosion on absorber-flash drum piping)
• Pumping energy
� Steam rate
• Sweet gas specs
• Lean amine loading (Corrosion in re-boiler and piping)
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• Lean amine loading (Corrosion in re-boiler and piping)
� Lean amine temperature
• Increased H2S absorption with CO2 slip
• Reduced load on dehydration
• Foaming and hydrate risks
� Solvent concentration
• Decreases solvent circulation rate
• Corrosion effects
2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
Lean solvent temperature
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2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
Optimized operating conditions
Parameter Operating case Proposed case
Lean solvent temperature, oC 59 47.3
Solvent circulation rate, m3/hr 785 630
Steam consumption rate, tons/hr 117 91
Lean solvent concentration, % 42.4 50
Condenser temperature, oC 32 55
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Condenser temperature, oC 32 55
Sweet gas H2S, ppm 4 4
Sweet gas CO2, % 1.4 2.0
Lean solvent cooler load, MW 44 39
Pumping load, MW 0.70 0.55
Hydrate formation temperature, oC 18.7 18.6
Hydrocarbon dew point, oC 24.4 24.1
Sweet gas temperature, oC 60.4 49.3
Sweet gas H2O content, kg/hr 858 522
2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
DCS look up tables
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Solvent rate and steam rate as function of sour gas H2S+CO2 contents and
sour gas temperature
2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
Optimization - Structural changes
� Split-flow configuration
�Multiple absorber feeds
� Semi lean solvent recycle
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�Heat integration (Rich Lean HX – Condenser loop)
�Mixed solvents
2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
Split-flow configuration
w w w . c p f d - s o f t w a r e . c o m
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2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
100
105
110
115
Ste
am
rate
, to
ns/h
r
15
17
19
21
23
25
27
29
Condenser
duty
, M
W
Split-flow configuration - Results
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100
0.00 0.20 0.40 0.60Solvent split-flow fraction
15
0.00 0.20 0.40 0.60Solvent split-flow fraction
Sw
eet gas H
HV
, M
J/m
3
Solvent split-flow fraction
Tota
lcoolin
g d
uty
, M
W
Solvent split-flow fraction
2nd World Congress on
Petro chemistry and Chemical Engineering
October 27-29, 2014 Las Vegas, USA
Summary
�Process simulation analysis of a commercial amine
sweetening unit was performed
�Customized simulation model was developed with tailor-
made kinetics correlations and property packages
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�Model was validated with operating data over a period of
one year
�DCS look up tables were developed to provide guidelines
on optimum operating conditions
�Optimization analysis was performed by investigating
various operational and structural changes