Transcript

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

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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

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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

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2nd World Congress on

Petro chemistry and Chemical Engineering

October 27-29, 2014 Las Vegas, USA

Process simulation model

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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

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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

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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

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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

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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

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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

2nd World Congress on

Petro chemistry and Chemical Engineering

October 27-29, 2014 Las Vegas, USA

THANK YOU

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THANK YOU