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    © 2010 Aspen Technology, Inc. All rights reserved© 2010 Aspen Technology, Inc. All rights reserved

    Engineering Excellence Webinar Series

    26 January 2010

    Modeling Heavy Oils inAspen HYSYS

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    Modeling Heavy Oils in Aspen HYSYS

     

    Dr. Mohammad Khoshkbarchi

     

    Senior Project Manager, Process Ecology

     

    Email: [email protected]

     

    Sanjeev Mullick

     

    Director, Product Marketing, AspenTech−

     

    Email: [email protected]

     

    http://support.aspentech.com

    mailto:[email protected]://support.aspentech.com/mailto:[email protected]://support.aspentech.com/http://support.aspentech.com/mailto:[email protected]:[email protected]

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    Agenda

    Heavy Oil Overview

    Best Practices for Modeling Heavy Oils in Aspen HYSYS

    Sample Applications

    Recommendations and Conclusions

    Q&A

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    What is Heavy Oil?

     

    By definition, has API gravity < 20°

     

    & viscosity > 1,000 cP

     

    Has over 60 carbon atoms, and hence, a high BP & MW

     

    Mainly comprised of hydrocarbons heavier than pentanes,with a high ratio of aromatics andnaphthenes to paraffins

     

    High amounts of nitrogen, sulfur (~5%),oxygen and heavy metals

     

    Exists in a semi-solid state and may not

    flow in its naturally occurring state

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    Comparative Oil Properties

    Conventional Crude 25 °API

    Conventional Heavy 25 –

     

    18 °API

    Extra Heavy (Thermal) 20 –

     

    12 °API

    Tar Sand 12 –

     

    7 °API

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    Where Does it Exist?

     

    Heavy oil deposits total almost 5½

     

    trillion barrels (est.);80% of deposits are in the Western Hemisphere

    -

     

    In the U.S., heavy hydrocarbon deposits are estimated to be

    more than eight

     

    times that of the nation's remaining reservesof conventional crude oil

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    Where Does it Exist?

    1.

     

    Western Canada

     

    Mainly in the form of oil sands in Alberta

     

    44% of Canadian oil production in 2007 was from oil sands, with an

    additional 18% being heavy crude oil

     

    Average density is API = 8°

     

    Viscosity within a range 5000-10,000 cP,and higher (up to 100,000 cP)

    2.

     

    Venezuela

     

    Mainly heavy oil

    – 

    Viscosity within a range of 1000-5000 cP

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    Challenges in Modeling Heavy Oils

     

    Characterizing the oil

     

    Defaults

     

    Data Bulk

    Curves

     

    Viscosity

     

    Blending to match properties at wellhead

     

    Emulsion viscosity

     

    Phase entrainment/carryover

     

    Foaming

     

    Further effects of adding solvents

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    Implications of Poor Modeling

     

    Incorrect wellhead conditions

     

    Steam-Oil ratio

     

    Properties prediction

     

    Flash conditions: vapor when it’s really a liquid/vice versa,trivial phases

     

    Large pressure gradients

    • 

    Unattainable separations–

     

    Products: SCO

     

    Capacity

     

    Yields

     

    Over/under design of towers, drums

     

    Misrepresented utilities

     

    Over/under design of heat exchanger units

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    Agenda

    Heavy Oil Overview

    Best Practices for Modeling Heavy Oils in Aspen HYSYS

    Sample Applications

    Recommendations and Conclusions

    Q&A

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    Oil Properties Build PFD Assay Setup

    Best Practices Workflow

    Enter Assaylab data

    Check

    Correlation set

    Enter UserCutpoint

    ranges

    Verify/alter

    Extrapolation

    & ConversionMethods

    Blend Assay &Cut into Hypos

    Compare

    Property Plots

    Install Oil

    Blend Oil &Water streams

    Alter emulsion

    viscosity, ifnecessary

    Incorporate

    entrainment

    Use Utilities to

    check products

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    Oil Characterization in Aspen HYSYS

     

    Purpose: convert lab analyses Aspen HYSYS library andhypothetical components

     

    3 steps in Oil

    Characterization:1.

     

    Characterizethe Assay

    2.

     

    Generate

    PseudoComponents –

     

    Cut/Blend

    3.

     

    Install the Oil in

    the Flowsheet

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     Alternative Methods:

     

     ASTM D86 (atmospheric batch distillation)

     

     ASTM D1160 (vacuum batch distillation)

     

     ASTM D2887 (chromatography)

     

    Usually unsuitable for heavy crudes

    True Boiling Point Curve

    0

    200

    400

    600

    800

    1000

    1200

    0 20 40 60 80 100

    Volum e % Dist illed

       B  o   l   i  n   i  n  g

       P  o   i  n   t   (   C   )

    IBP

    FBP

    IBPi FBPi

    True Boiling Point (TBP)

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    1. Characterizing the Assay

     

    Know how your lab handles its analysis:

     

    Which analysis type?

     

    Are they applying any corrections?

     

    Are light-ends included? Or is it a separate analysis?

    Input Composition

    Auto Calculate

    Ignore

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    Heavy oil TBP has much fewer experimental points

     

    No FBP or close point to it

    Conventional Oil TBP

    -100

    0

    100

    200

    300

    400

    500

    600

    700

    800

    0 20 40 60 80 100

    Volum e % Dist illed

       B  o   l   i  n   i  n  g

       P  o   i  n   t   (   C   )

    Heavy Oil TBP

    0

    200

    400

    600

    800

    1000

    1200

    0 20 40 60 80 100

    Volum e % Dist illed

       B  o   l   i  n   i  n  g

       P  o   i  n   t   (   C   )

    True Boiling Point (TBP)

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    1. Characterizing the Assay

     

    Light Ends handling and Bulk Property fitting:

     

    Are Light-ends included in the input curves?

     

    Are Light-ends included in the bulk properties?

     

    What bulk data do you have? Do you also have propertycurves?

     

    Do you want to control which part of the curve is tuned to

    match the bulk property?

     

    Understand the correlations used

     

    Understand which conversion and extrapolation methods

    are used

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    Best PracticesSpecify Properties for Heavy Oils

     

    Bulk property options include:

     

    Molecular Weight > 16

     

    Mass Density = 250 ~ 2000 kg/m3

     

    Required

     

    Watson K Factor = 8 ~ 15

     

    Recommended

     

    Bulk Viscosity, @ 100°F and @210°F

     

    Required

     

    Add other property curves

     

    Molecular Weight curve

    – 

    Density curve 

    Recommended–

     

    Viscosity curve (two curves)

     

    Recommended

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    2. Generating Pseudocomponents

     

    Blending is used to blend a number of assays. It provides ageneral presentation of the whole crude. Cutting not onlygenerates thepseudocomponents,but also determinestheir compositionsin the crude

     

    Auto Cut: basedon values specifiedinternally

     

    User Points:specified cut pointsare proportioned based on internal weighting scheme

     

    User Range: specify boiling point ranges and the number of

    cuts per range

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    Best PracticesCreating Hypotheticals for Heavy Oils

     

    When generating pseudocomponents for heavy oilfractionation, recommend using User Points or User DefinedRanges

     

    How many?

     

    Minimum of 4 pseudo-

     

    components per draw

     

    Use Composite plot todetermine exact numberfor each temperaturerange

    Test accuracy of input

    assay data againstgenerated hypotheticals

    “How well does my data

    match with Aspen HYSYS”?

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    In the absence of high FBPexperimental data theextrapolation of the curvecould result in abnormalities.

    This will have a great impacton the set up of some unitoperations such asdistillation.

     

    The undershoot in theextrapolation could change toovershoot as well

    True Boiling Point Curve

    0

    200

    400

    600

    800

    1000

    1200

    0 20 40 60 80 100

    Volum e % Dist illed

       B   o

       l   i   n   i   n   g    P

       o   i   n   t   (   C   )

     

    Solution:

    −Use a guide point such as FBP or IBP

    Use other distribution

    True Boiling Point (TBP)

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    Best PracticesPredict Heavy Oil Fractions

     

    Use the Distribution Plot to help predict crude products

     

    Enter custom cuts

     

    to slice oil as desired

    – 

    See product changeswith temperature

     

    Use these fractionsas initial productdraw rates forconverging thecolumn (i.e., forfront end of anupgrader)

    “Approximatelyhow much of every

    product will I get”?

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    3. Installing the Oil

     

    Installing the oil in the flowsheet is done by providing astream name on the Install Oil tab. This:

    1.

     

    Adds the pseudo components to the Fluid Package

    2.

     

    Transfers the pseudo component information into theFlowsheet

    3.

     

    Creates a stream on the Flowsheet with a definedcomposition

    If you forget this step, you will not be able to see the oilcomposition in the flowsheet!

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    Best PracticesStream Utilities for Oils

     

    Use stream Utilities to check individual streams against thecomposite oil

     

    Boiling Point Curves: calculates simulated distillation data andcritical property data for each cut point and cold properties

     

    Cold Properties: shows boiling pointcurve and breakdown of Paraffins/

     

    Naphthenes/Aromatics for theinstalled oil

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    The following section looks at special considerations inpredicting heavy oil properties, including:

    Specific Gravity/Standard Density

    Extrapolation Methods & Fitting Options

    Viscosity

    General Oil Properties, i.e., Thermal Conductivity

    Aspen HYSYS Can Accurately PredictImportant Heavy Crude Properties

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    Specific Gravity

     

    Specific gravity is an extremely important data point for theaccurate extrapolation of heavy oils, as well as an importantdata point to generate a missing SG curve

    – 

    Bulk SG is, by default, optional and part of the assay analysis•

     

    It is thereforerecommendedthat the bulk density

     

    (or density curve)be supplied as aninput parameterfor the accurate

    characterization ofa heavy oil

    f

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    Specific GravityExample Problem and Solution

     

    Problem: Range of discrepancy in estimated densityvalues is 6% at lower NBPs and up to 11% athigher NBPs

     

    Solution: Apply different correlation sets for multiple NBPranges

     

    Inconsistent/unreliable SGs at heavy ends can

     

    result especially if the SG is estimated from anycorrelation where NBP is the only independentvariable, since SG might also be a function of MW

     

    The SG curve generated from input data should be

    consistent and follow the trend of the boiling point curve–

     

    Watson K method creates a Watson K curve based on boiling curveand average SG. This Watson K curve is used to generate componentSG boiling point, then moved up and down to match bulk SG.

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    Curve Extrapolation

     

    Available mathematical extrapolation methods (for bothends) include:

     

    Probability

     

    Least squares–

     

    Lagrange

     

    Recommendedselections for heavy

    oils are shown here–

     

    The linearextrapolation methodis not appropriate for extrapolating the SG, MW and viscosity

    curves for heavy ends. The least squares (2nd orderpolynomial), applied at both ends, is recommended.

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    Curve Fitting Options

     

    Curve Includes L.E.

     

    Bulk Value

     

    Bulk Value Incl. L.E.

     

    Head %–

     

    Head Adjust Weight

     

    Main %

    – 

    Main Adjust Weight–

     

    Tail Adjust Weight

     

    For each input curve, can specify:

    C Fitti O ti

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    Curve Fitting OptionsExample Problem and Solution

     

    Problem: Property curves are shifted along y-axis

     

    Solution: To correct discrepancies, you have 3 options:

     

    Change BulkValue (leastaccurate), or 

     

     Adjust Main %and Tail Adj Wt.

    to correspondwith data entrypoints (manual),or 

     

     Apply SmartBulk Fitting(automatic)

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    Curve Fitting Options Example

    C Fitti O ti

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    Curve Fitting OptionsExample Problem and Solution

     

    Problem: TBP Curve is shifted along the liq. vol. x-axis

     

    A TBP, by default, includes light ends; however, if the TBP wasobtained from a light-ends free sample, Aspen HYSYS can re-

     

    adjust the curve to the overall crude

     

    Solution:Choose to fitwith or without

    light ends, as 

    appropriate:

     

    In situations when only partial light ends analysis data is

    available, Aspen HYSYS can generate overlapping hypotheticalcomponents to compensate the missing portion of the lightends, making the output stream matching both the partial lightends input and the other input curves

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    Viscosity

     

    Viscosity is key to both successfully understanding the fluidproperties of a heavy oil and for predicting oil recovery

     

    Both viscosity reduction and thermal expansion are the key

    properties to increase productivity of heavy oils–

     

    Viscosity influences every aspect of a heavy oil development

     

    Effect of viscosity on pressure gradients

    – 

    For real liquids, the effect of pressure is relatively small whencompared to the temperature effect; but large pressuregradients tend to occur with high viscosity oils. At higher flow

     

    rates, frictional heating effects can become significant, and theheating tends to reduce the oil viscosity, which in turn, affects

    the pressure gradient. The net result is that the predictedpressure gradient may be higher than should actually beexpected.

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    Viscosity Options in Aspen HYSYS

     

    Since viscosity is the key property to proper heavy oilscharacterization, we do not recommend omitting thisvariable

     

    Optional to use:–

     

    Bulk viscosity values (recommended)

     

    Only viscosity curve

     

    Two viscosity curves (optimal)

     

    Higher flexibility on temperature extrapolation

     

    Note: Bulk viscosity and viscosity curves can be input atdifferent temperatures

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    Heavy Crude Viscosity Trends

    Full Crude Viscosity vs. Temperature

    0

    20000

    40000

    60000

    80000

    100000

    120000

    0 50 100 150

    Temperature (C)

       V   i  s  c  o  s   i   t  y   (  c   S   t   )

    Cut Viscosity vs . Final Bo iling Point

    0

    50000000

    100000000

    150000000

    200000000

    250000000

    0 200 400 600 800 1000 1200

    FBP (C)

       V   i  s  c  o  s   i   t  y   (  c   S   t   )

     

    Use two points from full crude viscosity curve.

     

    High FBP viscosities are usually a result of extrapolationusing a log(log) approach.

    Viscosity Curves

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    Viscosity CurvesExample Problem and Solution

     

    Problem: Calculated and inputted viscosity values don’tmatch. Depending on the application, bulk values aregood, but in other cases (like heavy oils) the cuts value

    (i.e., residue) is better. –

     

    Quite a typical case:

    Low quality viscositycurves for extra-

    polation purposes It is a measure range

    problem

    Inconsistent data

    leads to a mismatchof input to calculated

     

    Solution: Manipulatebulk value by trial anderror to match residue viscosity

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    Indexed Viscosity

     

    Viscosity cannot be blended linearly, so a methodology isadopted that substitutes a function of the measured viscositythat is approximately linear with temperature. A linearizedequation for viscosity is given by Twu and Bulls (1980).

     

    On the Parameters tab for equation of state methods, youcan change the viscosity calculation method from HYSYSViscosity to Indexed Viscosity to determine the blended liquid

    viscosity

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    General Oil Properties

     

    When comparing Aspen HYSYS-predicted property valuesagainst vendor, lab, or plant data, for properties such asliquid density, viscosity, thermal conductivity and heatcapacity, there can be some discrepancies, since:

     

    They are generated from general thermodynamic models

     

    It is not realistic to expect model predicted results to exactly

     

    match real data

    • 

    To improve the accuracy of these properties, use the Tabularfeature in Aspen HYSYS to:

     

    Edit the coefficients for property correlation

     

    Regress lab data directly in Aspen HYSYS

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    Example: Improving Thermal Conductivity

     Alter coefficients

    Regress data

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    Checklist for Modeling Heavy Oils

    Blend water and oil streams; check emulsion properties

    Build flowsheet

    Incorporate phase entrainment in separators (usingcarryover function) and columns (via efficiencies)

    Use stream utilities (BP curves, Cold Properties) to checkindividual streams against the composite oil

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    Agenda

    Heavy Oil Overview

    Best Practices for Modeling Heavy Oils in Aspen HYSYS

    Sample Applications

    Recommendations and Conclusions

    Q&A

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    Well PadEmulsion

    DILUENT/

     

    SYNTHETICCRUDE

    STEAM/HEAT

    ToUpgraderor Pipeline

    Gas-Oil-

     

    Water 

     

    Separation

    [DILBIT/

     

    SYNBIT]

    OIL

    GAS

    GasTreating

    RECOVEREDDILUENT/SCO

    SOURGASES

    SWEETGASES

    Steam Assisted Gravity Drainage (SAGD)

    SteamGeneration

    WATER

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    STEAM GENERATION

    GAS TREATMENT

    Well Pad

    Diluent

    OIL TREATMENT

    To Upgrader

    or Pipeline

    DilBit

    Make up Streams

    WATER TREATMENT

    Steam Assisted Gravity Drainage (SAGD)

    Aspen HYSYS Model

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    OPERATIONSDESIGN

     

    Use model to make decisionsin all phases of operation—

     

    preheat, steam injection & oilproduction, and blowdown

     

    Track and report keycomponents—sulfur, etc.

     

    Determine how operatingimprovements

     

    Model wellpad characteristics

    • 

    Model separation of water,oil, and gas phases

    • 

    Perform profit calculations(upgrade to SCO or sell)

     

    Consider new technology—

     

    partial upgrading in-situ,

    combustion, VAPEX, etc.

    Steam Assisted Gravity Drainage (SAGD)

     –

     

     Additions of diluent and/orsolvents, their flow conditions,separation scheme & recovery

     –

     

    Bitumen treatment and recovery

     –

     

    Steam generation

     –

     

    Water treatment (incl. softening)  –

     

    Increase bitumen separation/recovery

     –

     

    Reduce energy requirements

     –

     

    Improve water usage

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    Agenda

    Heavy Oil Overview

    Best Practices for Modeling Heavy Oils in Aspen HYSYS

    Sample Applications

    Recommendations and Conclusions

    Q&A

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    Recommendations for Heavy Oils

    1.

     

    For Assay data, generally suggest entering Gravity, BoilingPoint Range, Watson K;

    For Heavy Crudes, recommend including Viscosity—Bulk or

    Curve

    2.

     

    When generating Pseudo-Components, Auto-Cut option isnot the best choice for heavy oil fractionation; recommendusing User Points or User Defined Ranges; generate aminimum of 4 pseudo-components per draw

    3.

     

    Suggested Thermodynamic Methods are:

    Heavy Hydrocarbons:

     

    Peng Robinson with Lee-Kesler Enthalpies

    Light Hydrocarbons:

     

    Peng Robinson

    Hydrogen Rich: Peng Robinson

    Sour Water:

     

    Peng Robinson Sour

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    Recommendations for Heavy Oils

    4.

     

    Verify usage of:

     

    Correlations set

     

    Extrapolation methods for property curves

     

    Fit option with light ends

    5.

     

    Use Plots and Utilities to match data to model and correctfor any deficiencies in data

     

    Plots: Composite, Oil Distribution–

     

    Utilities: Cold Properties, BP Curves

    6.

     

    Integrate lab/plant data into thermodynamic parameters

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    Recommendations for Heavy Oils

    7.

     

    Aspen HYSYS can match Heavy Oils data for simulationstudies as validated in three papers

     

    Hyprotech, HYSYS, and Oils

     

    Technical Audit of Heavy Oil Characterization Methods–

     

    Heavy Crude Oil Handling

    8.

     

    Simulation Basis Manager—Chapter 4, Aspen HYSYS OilManager—provides all the technical details and options

    9.

     

    Support Knowledge Base offers many solutions on this topic

     

    Sample files

     

    Technical tips: keywords such as, viscosity, thermal conductivity,

    density–

     

    Example file: The usage of Indexed Viscosity option in HYSYSwith an example

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    Agenda

    Heavy Oil Overview

    Best Practices for Modeling Heavy Oils in Aspen HYSYS

    Sample Applications

    Recommendations and Conclusions

    Q&A

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    © 2010 Aspen Technology, Inc. All rights reserved | 50

    Want to see similar results?

    http://support.aspentech.com/supportpublictrain/TrainHome.htm

    Consider a training class from AspenTech

    http://support.aspentech.com/supportpublictrain/TrainHome.htmhttp://support.aspentech.com/supportpublictrain/TrainHome.htm

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    © 2010 Aspen Technology, Inc. All rights reserved | 52

    Aspen HYSYS Training

    Process Modeling (Refining Industry Focus) (EHY102)February 8, 2010 -- Virtual Americas

    March 15, 2010 – Houston, Texas

    http://support.aspentech.com/supportpublictrain/CourseInfo.asp?course=EHY102

     

    Optimize engineering work processes using the full power and

    flexibility of Aspen HYSYS to build, evaluate and optimizeflowsheets.

     

    Learn the shortcuts for efficient use of the software to build steadystate simulations for refining processes.

    http://support.aspentech.com/supportpublictrain/CourseInfo.asp?course=EHY102http://support.aspentech.com/supportpublictrain/CourseInfo.asp?course=EHY102

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    Aspen HYSYS Training

     

    Use and apply advanced modeling techniques to enhance exist ing Aspen HYSYS flowsheets.

     

    Create custom columns, including non-standard configurations.

     

    Perform complex calculations on flowsheet variables.

     

    Create models that emulate plant conditions.

    Process Modeling Additional Topics (EHY201)February 4, 2010 – Seoul, Korea

    February 19, 2010 – Virtual Americas

    http://support.aspentech.com/supportpublictrain/CourseInfo.asp?course=EHY201

    http://support.aspentech.com/supportpublictrain/CourseInfo.asp?course=EHY201http://support.aspentech.com/supportpublictrain/CourseInfo.asp?course=EHY201http://support.aspentech.com/supportpublictrain/CourseInfo.asp?course=EHY201http://support.aspentech.com/supportpublictrain/CourseInfo.asp?course=EHY201

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    © 2010 Aspen Technology, Inc. All rights reserved | 55

    AspenTech Training: Making it easy

    Simply by participating today you have earned a training discountto help you get started…

    You do nothing – AspenTech’s Training Groupwill contact you to:

    1. 

    Provide you with the promotional discount codefor this event

    2. 

    Review training dates and options with you

    3.

     

     Answer any questions you have

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    © 2010 Aspen Technology, Inc. All rights reserved | 56

    On-Demand and Up-coming Webinars

    On-Demand Webinars:

     

    Over 50 recordings of past webinars on Engineering

     

    Visit:

     

    http://www.aspentech.com/events/ondemand_webinar.cfm

    Future Webinars:

     

    Improving FEED Business Processes and Handover toDetailed Engineering Featuring: Guest speaker Eascon (Italy)

    February 2, 2010

    – 

    Drive Greater Efficiency with Crude Unit Modeling Featuring: Guest speakers from Valero Energy Company February 9, 2010

     

    Register at:

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    http://www.aspentech.com/events/ondemand_webinar.cfmhttp://www.aspentech.com/events/ondemand_webinar.cfmhttp://www.aspentech.com/events/webseminars.cfmhttp://www.aspentech.com/events/webseminars.cfmhttp://www.aspentech.com/events/ondemand_webinar.cfm

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    © 2010 Aspen Technology, Inc. All rights reserved | 57

    pMay 3-5, 2010 in Boston, MA

    Guest keynote speakers

    Customer case studies

    Roundtable discussions

    Networking opportunities

    Plus a few surprises!

    Agenda includes

    Early Bird Rate Now Available – $1200 – Expires March 27 *

    * Regular rate = $1500; On-site rate = $1800 http://www.aspentech.com/aspenoneglobalconference/

    aspenONE® Global Conference

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    Focused sessions including:

     

     Aspen Process Modeling

     –

     

    Chemicals -

     

     Aspen Plus and ACM

     –

     

    Energy -

     

     Aspen HYSYS Family

     

     Aspen Exchanger Design & Rating (HTFS)

     

    Capital Project Engineering

     –

     

     Aspen Economic Evaluation (Icarus)

     –

     

     Aspen Basic Engineering (Zyqad)

     

    Batch and Pharma Process Development

    Format:

     

    In-depth sessions on product families,solution areas and industry verticals

     

    Panel discussions

     

    Share best practices and experiences

    with other users and AspenTech experts•

     

    Open discussions to share new ideas and

    provide feedback to AspenTech

     

    Tutorials and training on latest capabilities

     

    Clear understanding of future productdirection

    3-5 May 2010 Boston, MA, USA

    Westin Copley Place

    For more information:

    Email:

     

    [email protected]

     

    or [email protected]

     

    Web: http://www.aspentech.com/aspenoneglobalconference

    pMay 3-5, 2010 in Boston, MA

    aspenONE® Global Conference

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]://www.aspentech.com/aspenoneglobalconferencehttp://www.aspentech.com/aspenoneglobalconferencemailto:[email protected]:[email protected]

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    © 2010 Aspen Technology, Inc. All rights reserved | 59

    Focused sessions including:

     

     Aspen Process Modeling

     –

     

    Chemicals -

     

     Aspen Plus and ACM

     –

     

    Energy -

     

     Aspen HYSYS Family

     

     Aspen Exchanger Design & Rating (HTFS)

     

    Capital Project Engineering

     –

     

     Aspen Economic Evaluation (Icarus)

     –

     

     Aspen Basic Engineering (Zyqad)

     

    Batch and Pharma Process Development

    Format:

     

    In-depth sessions on product families,solution areas and industry verticals

     

    Panel discussions

     

    Share best practices and experiences

    with other users and AspenTech experts•

     

    Open discussions to share new ideas and

    provide feedback to AspenTech

     

    Tutorials and training on latest capabilities

     

    Clear understanding of future productdirection

    3-5 May 2010 Boston, MA, USA

    Westin Copley Place

    For more information:

    Email:

     

    [email protected]

     

    or [email protected]

     

    Web: http://www.aspentech.com/aspenoneglobalconference

    pMay 3-5, 2010 in Boston, MA

     

    More User Presentations….Track agendas are incorporating additional user presentations slots—up to 100 total—so

    attendees can see and learn how best practitioners are implementing the latest solutions.

     

    More Networking Connections...The 2010 program wil l make it easier for attendees to connect with their peers, giving moreopportunities to exchange ideas that are relevant to their specific business needs.

     

    More Integrated Solutions and Product Updates...Back by popular demand, the AspenTech Plenary Session, the Solutions Center, and

    dedicated product update sessions will bring more focus on integrated solut ions, product

    news and what's ahead in product development.

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]://www.aspentech.com/aspenoneglobalconferencehttp://www.aspentech.com/aspenoneglobalconferencemailto:[email protected]:[email protected]

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    Dr. Mohammad Khoshkbarchi

    Senior Project Manager, Process EcologyEmail: [email protected]

    Dr. Glenn DissingerDirector, Product Management, AspenTechEmail: [email protected]

    Sanjeev MullickDirector, Product Marketing, AspenTechEmail: [email protected]

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]