don colley presentation o&gp

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Upstream Oil & Gas Plant Performance Benchmarking, Auditing and Simulation Don Colley, P.Eng. DGC Consulting Ltd. Dr. Bill Svrcek, P.Eng University of Calgary GPAC April 15, 2005

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Upstream O&G Plant Performance Benchmarking

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  • Upstream Oil & Gas Plant Performance

    Benchmarking, Auditing and Simulation

    Don Colley, P.Eng.DGC Consulting Ltd.

    Dr. Bill Svrcek, P.EngUniversity of Calgary

    GPAC April 15, 2005

  • DGC Consulting/UofC

    Introduction This presentation will include:

    Performance Benchmarking Energy and Environmental Audits Process Simulation

    Tools for Energy Cost Optimization

  • DGC Consulting/UofC

    Performance Benchmarking Key Performance Indicators (KPIs)

    Facility, process and equipment benchmarking Energy KPIs Environmental KPIs

    UOG Applications Monitoring and Tracking Performance Screening and Assessing Facilities Continuous Improvement Target Setting

    UOG Examples Sour Gas and Sweet Gas Conventional Oil and Heavy Oil

  • DGC Consulting/UofC

    KPI Structure

    All based on production data: Numerator: Item of interest in units of

    energy, mass or volume

    Denominator: Total energy equivalent production Small and decreasing value is good Large and increasing value is bad

  • DGC Consulting/UofC

    Energy Equivalent Production

    Denominator calculated as the sum of: Total gas production Total gas liquids production Total oil production Total sulphur production Total exported power Total exported heat energy

    EEP expressed as GJ or BOE

  • DGC Consulting/UofC

    Items Benchmarked

    Numerator can be: Energy consumption Carbon dioxide emissions Sulphur dioxide emissions Fresh water consumption Produced water disposal Sand production

  • DGC Consulting/UofC

    Operational Decoupling

    Plant Total Energy Intensity (PTEI) = Plant Processing Energy Intensity, PPEI Compression or Pumping Intensity, C/PEI Plant Flare Energy Intensity, PFEI Plant Vent Energy Intensity, PVEI

    Field Gathering Energy Intensity (FGEI)

    Total Energy Intensity = PTEI + FGEI

  • DGC Consulting/UofC

    Monitoring & Tracking Performance

    Performance Indicators with Targets can be set up to effectively monitor plant, process or equipment performance

    Indicators can have low and high flags

    DCS availability means operators can take immediate action to correct problems or schedule maintenance

  • DGC Consulting/UofC

    Facility Level Benchmarking(Applied to over 30 UOG facilities)

    Sour Gas Processing Plants Sweet Gas Processing Plants Conventional Oil and Solution Gas Batteries Gathering Systems EOR Heavy Oil Projects

  • DGC Consulting/UofC

    Energy Intensity

    0%

    1%

    2%

    3%

    4%

    5%

    6%

    Jan-0

    4Fe

    b-04

    Mar-0

    4Ap

    r-04

    May-0

    4Ju

    n-04

    Jul-0

    4Au

    g-04

    Ave J

    an-Au

    g 04

    Targe

    tSe

    p-04

    Oct-0

    4No

    v-04

    Ave S

    ep-No

    v 04

    Inte

    nsity

    , GJ/

    GJ

    BTEI BPEI BFEI BVEI Bty/FldTEI BCompEI

  • DGC Consulting/UofC

    Gas Plant and Gathering Systems Energy Intensity

    0%

    2%

    4%

    6%

    8%

    10%

    Jan-0

    4Fe

    b-04

    Mar-0

    4Ap

    r-04

    May-0

    4Ju

    n-04

    Jul-0

    4Au

    g-04

    Sep-0

    4Oc

    t-04

    Nov-0

    4De

    c-04

    Ave 2

    004

    Jan-0

    5Fe

    b-05

    Ave J

    an-Fe

    b 05

    Targ

    et

    Inte

    nsity

    , GJ/

    GJ

    GP TEI GP PEI GP FEI GS#1 TEI GS#2 TEI GP/GS TEI

  • DGC Consulting/UofC

    Process/Equipment KPIs

    Gas Compressor or Oil/Water Pump EI = Energy Input / EEP

    Amine System EI = Reboiler Energy Input / EEP

  • DGC Consulting/UofC

    Integrated Production Intensities

    Wellhead to Point-of-Sale Intensity examples Sour Gas (field operations, plant processing and

    field & sales compression)

    Cold Heavy Oil (well operation, trucking and processing)

    Thermal Heavy Oil (SAGD and conventional thermal production facility)

  • DGC Consulting/UofC

    60.4

    30.2

    90.9

    5.0

    192.0

    6.60

    40

    80

    120

    160

    200

    Ener

    gy In

    tens

    ity, G

    J/E3

    GJ

    Sour Gas SR, Field+Processing Sour Gas SR, ProcessingHeavy Oil Cold, Field+Processing Heavy Oil Cold, ProcessingHeavy Oil Thermal, Field+Processing Heavy Oil Thermal, Processing

  • DGC Consulting/UofC

    Operational Auditing Purpose

    Identify opportunities to reduce fuel gas and electricity costs and improve operational efficiency

    Team Defining the objectives and scope of work defines

    the team requirements

    Results are opportunities to: Reduce energy consumption Optimized product yield Minimize emissions

  • DGC Consulting/UofC

    Typical Audit Schedule

    As requiredFollow up support

    1-4 hrsReport presentation or final debriefing

    4-8 wksReport Preparation

    1-4 hrsField debriefing

    1-5 daysField work

    2-4 wksData collection and field preparation

    4-8 wksScheduling of field work

    4-6 wksBudget development and approval

    1-2 wksScope and expertise selection

  • DGC Consulting/UofC

  • DGC Consulting/UofC

    Oil Battery Results

    Cost: Option 1: Restaging pump estimated at $25,000Option 2: Install a VFD at $250,000.

    Payout: Option 1: 3 monthsOption 2: 2 years

    Annual Savings: $125,000/y250 kW @ $60/MWh and 350 d/y

    New Conditions:78 m3/h @ 8,960 kPa with no throttle valve.

    EE Opportunity:Restage the pump and remove the throttle valve to match actual flow volume conditions or install a VFD to control motor and pump speed.

    Current conditions:Capacity: 125 m3/h @ 14,270 kPa design, 78 m3/h @ 16,540 kPa actual, throttled to 8,960 kPa discharge; 670 kW motor with 519 kW actual consumption.

    Situation:Oil battery with excess pump capacity for disposal of produced water. With no speed control on pump, throughput is controlled with a throttle valve.

  • DGC Consulting/UofC

  • DGC Consulting/UofC

    Sour Gas Production Results

    Cost:Option 1: NilOption 2: Nil.

    Payout: Option 1: 0 monthsOption 2: 0 years

    Note: Fuel gas saved become gas sales.

    Annual Savings:Option 1: 3800 kW @ $5.25/GJ and 350 d/y for $600,000/yOption 2: 5200 kW @ $5.25/GJ and 350 d/y for $825,000/y

    New Conditions:Option 1: 45 m3/h @ 46 wt%.Option 2: 35 m3/h @ 40 wt%.

    EE Opportunity:Stepwise reductions in both amine re-circulation rate and amine strength until target operating conditions are achieved.

    Current conditions:Amine flow at 72 m3/h @ 46 wt% requiring 5570 kW of reboiler duty. Heat medium heater @70% efficiency consumes fuel gas at $2,200,000/y.

  • DGC Consulting/UofC

    Payout: Option 1: 0 monthsOption 2: 0 years

    New Conditions:Heaters: 10-15% EA.Gas Engine: 2.4-9.5% EA.

    Cost: Nil

    Note: Fuel gas saved become gas sales.

    Annual Savings: $49,000/y@ $5.25/GJ and 350 d/y

    EE Opportunity:Heater: Operating at 24% excess air.TEG Reboiler: Operating at 140 EAIncinerator: Operating at 115% EAGas Engine: Operating at 30% EA

    Current conditions:Gas plant with reboilers, heaters, incinerators and gas engines operating with excess air levels of up to 150%.

    Sour Gas Production Results

  • DGC Consulting/UofC

    Potential Savings vs Plant Energy Cost (CETAC Project)

    0%

    5%

    10%

    15%

    20%

    25%

    30%

    35%

    40%

    $0 $5,000,000 $10,000,000 $15,000,000 $20,000,000 $25,000,000 $30,000,000

    Annual Fuel Gas and Electric Pow er Energy Cost (16 plants)

    Pote

    ntia

    l Sav

    ings

    FG & EE Cost Savings GHG Emission ReductionsGHG Emission Reductions FG & EE Cost Savings

  • DGC Consulting/UofC

    Simulation Tool

    Objective Performance targets Process modeling and optimization Case studies Results and discussion Conclusions

  • DGC Consulting/UofC

    Objective is to optimize operations based on specific criteria Energy Product Yield Environmental

    And set performance targets for the: Facility Process Equipment

    Process Modeling & Optimization

  • DGC Consulting/UofC

    For gas plants we must consider:

    Specific Configurations

    Individual Processing Units

    Granularity

    Process Modeling & Optimization

  • DGC Consulting/UofC

    Gas Plant Without Recycle

  • DGC Consulting/UofC

    Gas Plant Without Recycle

  • DGC Consulting/UofC

    Gas Plant With Recycle

  • DGC Consulting/UofC

    Gas Plant With Recycle

  • DGC Consulting/UofC

    TEG Dehydration Unit

    Tower

    Glycol_Gas_Contactor

    Saturated_Raw_Gas

    V1

    Hx1

    Tower

    Teg_Regenerator

    Sep1

    Lean_TEGM1

    TEG_Make_Up

    P1

    Hx2

    S

    Saturated_Gas_Higher_Heating_Value

    S

    Flash_Tank_Gas_Higher_Heating_Value

    S

    Still_Vent_Higher_Heating_Value

    Sales Gas

  • DGC Consulting/UofC

    Residual Water and BTEX Emissions as a Function of Glycol Rate

    0

    1

    2

    3

    4

    5

    6

    7

    8

    9

    0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5Glycol Rate (gpm)

    Res

    idua

    l Moi

    stur

    e (lb

    H2O

    /MM

    SCF)

    0

    5

    10

    15

    20

    25

    30

    35

    40

    45

    BTE

    X Em

    issi

    on (l

    b/hr

    )

    Residual Mositure(lbH2O/MMSCF)BTEX Emission (lb/hr)

  • DGC Consulting/UofC

    Energy Input to Reboiler and PEI as a Function of Glycol Rate

    0

    50

    100

    150

    200

    250

    300

    350

    400

    450

    0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5Glycol Rate (gpm)

    Ener

    gy In

    put t

    o R

    eboi

    ler (

    '000

    ' BTU

    /h)

    0

    0.05

    0.1

    0.15

    0.2

    0.25

    0.3

    0.35

    0.4

    0.45

    PEI (

    %)

    Energy Input to Reboiler ('000' BTU/h)PEI (%)

  • DGC Consulting/UofC

    Benefits

    Eco-efficiency indicators can be imbedded into simulators as tools to optimize performance

    Key indicator targets related to energy intensity are established

    Process modeling provides a means to examine existing plant configurations and examine other options for energy optimization

  • DGC Consulting/UofC

    Benefits Plant age, feed and product yield along with

    technology can be taken into account when performing comparisons, setting targets or benchmarking performance

    Management can select facility level KPIs to monitor performance against corporate goals

    Operators can be provided with effective guidance

    Simulation tools can be effectively used with audits to improve operational efficiency

  • DGC Consulting/UofC

    Presentation Summary

    In this presentation we have examined tools for: Improving Operational Efficiency.

    They include: Performance Benchmarking using KPIs Energy and Environmental Audits Process Simulation

  • DGC Consulting/UofC

  • DGC Consulting/UofC

    Discussion

    AcknowledgementComponents of this presentation were developed as part of a CETAC-West

    Integrated Audit and Benchmarking Program

  • DGC Consulting/UofC

    References Upstream Oil & Gas Plant Benchmarking, D.G. Colley, CSChE

    2004. Eco-efficiency Benchmarking and Modeling to Optimize Natural

    Gas Plant Operational Efficiency, D.G. Colley, W.Y. Svrcek and B.R. Young, CSChE 2004.

    Eco-efficiency Benchmarking and Modeling to Optimize Natural Gas Plant Operational Efficiency, D.G. Colley, W.Y. Svrcek and B.R. Young, HP, January 2005.

    Energy and Emission Optimization of the Glycol Dehydrator Process, D.G. Colley, W.Y. Svrcek and H Adam, 1992 GRI Glycol Dehydrator Air Emission Conference.