Speaftp120620 Houze Clamart

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    2012-06

    Production Analysis

    and Forecasting of

    Shale Oil / Gas Formations

    SPE France - Clamart

    20th June 2012

    Olivier Houzé

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    Tight / Shale gas / CBM

    Resource triangle for natural gas. Holditch, Tight Gas Sands, JPT, June 2006

    1,000 md

    10 md

    0.1 md

    0.001 md

    SmallVolumes

    Large

    Volumes

    Tight

    Gas

    Shale GasShale Oil Hydrates

    CBM

    High Q

    Medium Q

    LowQuality

       H   i  g   h  e  r

       C  o  s   t  s

     

       M  o  r  e   T  e  c

       h  n  o   l  o  g  y

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    Main Shale Plays

    • Antrim• Avalon-Wolfberry

    Bakken• Barnett

    • Baxter• Cody

    • Eagle Ford• Fayetteville

    • Haynesville-Bossier

    • Horn River• Lewis

    Marcellus• Mississippian

    • New Albany• Niobrara

    • Poland• Woodford

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    Unconventional Consortiums

    • U of Adelaide

    • U of Calgary

    • Colorado School of Mines

    • U of Curtin

    • U of Oklahoma

    • Penn State U

    Texas A&M• U of Utah

    • Core Lab

    • Fekete

    • ITF

    • KAPPA

    • RPSEA

    South Australia Gov

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    Common unconventional issues

    • Extremely low permeability ► nonlinearities

    • Multiple scales of porosity and diffusion

    • Exotic diffusion effects

    Stress dependence• Fractured horizontal wells

    • Poor data (rare PDG’s, poor rates…) 

    • Under-defined problems

    • We do not know what we do not know

    • We may know when it is too late

    • Metrics to rate Asset Managers

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    Several scales of diffusion

    micro-macro links:

    Fick diffusion

    macro-macro link:

    Darcy or Forcheimer

    Fracture

    network

    Desorption Micropores

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    Unconventional Models v1.0

    1  104 106 108100  days 

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    Analysis tools & proxys

    • Straight lines (flow regimes)

    •  Ad-hoc decline curves

    •  Analytical models

    pseudopressures & pseudotimes

    Numerical models

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    Straight lines

    ∆ 

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    Advanced Analyses

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    Ad-hoc decline curves

    = . −∞−

     

    = . −∞ 

    Arps 

    Ilk et al. 

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    Analytical models

    SRV Bounded

    Trilinear

    Exact geometry

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    Advanced Analytical models

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    Numerical Models

    6000 cells

     / fracture

    1000 cells

     / fracture

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    Further Downscaling for UR

     Min

    t c

    k  A L  

     

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    Advanced Numerical Models

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    Model stress

    3

    0  ln  

     

      

     

     P C k k 

      ref  

    ref   

     • Walsh

    • Palmer and Mansoori

    • Ostensen

    3

    0

    0

    00

    0

    0

    111

    1  

     

      

     

     

      

     

     

      

     

     

      

     

     

      

      

     P  P 

     P 

     P  P 

     P 

     M 

     K  P  P  f  

     M 

     K 

     M k 

        mn

    m

    nk 

    k    20,

    *2*

    0

    1ln1ln         

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    From shale gas to shale oil

    • Compositional PVT & desorption model ?

    • Relative permeabilities hysteresis ?

    • IOR: Thermal process & CO2 injection ?• Non-Newtonian and threshold effects ?

    • Need initial state ?

    Need to match GOR curves ?

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    Choice of the right proxy

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    Playing with data

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    Case study

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    Changing Wellbore model

    • Simultaneous correction for casing and tubing flows

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    Straight line analysis

    ∆ 

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    Analytical model

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    Numerical model

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    0

    5000

    10000

    15000

    20000

       G  a  s  r  a   t  e   [   M  s  c   f   /   D   ]

    0

    1E+9

    2E+9

     

    0 100 200 300 400 500

    Time [Day]

    4000

    9000

       P  r  e  s  s  u  r  e

       [  p  s   i  a   ]

     

    0.1 1 10 100 1000Time [Day]

    0.1

    1

    10

     

    0.1 1 10 100 1000Time [Day]

    0.1

    1

     

    Ten more months of data !

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    Old Straight line model

    2000

    6000

    10000

    14000

    18000

       G  a  s  r  a   t  e   [   M  s  c   f   /   D   ]

    5E+8

    1.5E+9

    2.5E+9

     

    q g P ro d u c t io n 5 6 0 d a ys )

    Qg

    q g m o d e l

    Q g m o d e l

    0 40 80 120 160 200 240 280 320 360 400 440 480 520 560

    Time Da

    4000

    9000

       P  r  e  s  s  u  r  e   [  p  s   i  a   ]

    Pi

    p F B H P 5 6 0 d a y s )

    0.1 1 10 100 1000Time [Day]

    1E+5

    1E+6

    Integral of normalized pressure

    Integral of normalized pressure erivative

     

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    Old analytical model

    0.1 1 10 100 1000

    Time [Day]

    1E+5

    1E+6

    1E+7

     

    4000

    8000

    12000

    16000

       G  a  s  r  a   t

      e   [   M  s  c   f   /   D   ]

    3E+8

    8E+8

    1.3E+9

    1.8E+9

    2.3E+9

     

    0 40 80 120 160 200 240 280 320 360 400 440 480 520 560

    Time [Day]

    4000

    9000

       P  r  e  s  s  u  r  e   [  p  s   i  a   ]

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    Improved numerical model

    0.1 1 10 100Time [Day]

    0.1

    1

    10

     

    3000

    8000

    13000

    18000

       G  a  s  r  a

       t  e   [   M  s  c   f   /   D   ]

    5E+8

    1.5E+9

    2.5E+9

     

    0 40 80 120 160 200 240 280 320 360 400 440 480 520 560 6

    Time [Day]

    4000

    9000

       P  r  e  s  s  u  r  e   [  p  s   i  a   ]

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    Comparison

    2000

    4000

    6000

    8000

    10000

    12000

    14000

    16000

    18000

    20000

       G  a  s

      r  a   t  e   [   M  s  c   f   /   D   ]

    5E+8

    1E+9

    1.5E+9

    2E+9

    2.5E+9

    3E+9

     

    Equiv s ingle f racture

    Ana ly t . new da ta

    NL new da ta

    0 40 80 120 160 200 240 280 320 360 400 440 480 520 560 6

    Time [Day]

    3000

    7000

       P  r  e  s  s  u  r  e   [  p  s   i  a   ]

     

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    Lego™ development

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    Challenging the basic model

    • Interference during fracturing

    • Interference during production

    • Microseismics

    • Production logs

    • Ridiculously long linear flows

    • Where is the water gone?

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    Discrete Fractures Network 

    Courtesy of IFPEN

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    Discrete Fractures network

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    Modeling Fracture growth

    Cou rtesy o f Rob Jeffrey, CSIRO

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    Reserve calculations

    Proved Developed (PUD) - 1P, 2P & 3P:

    • Material Balance

    •  Analogs

    Traditional Decline Curve Arps, Fetkovitch, etc

    • New Decline Curves

    Stretched exp., power-law exp., Dong, etc

    •  Analytical models

    • Numerical models ?

    Proved Undeveloped (PUD):

    • Probabilistic methods

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    Terminal decline from numerical model

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    What’s next ?

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    Thank you

    Merci !

    Danke !

    Спасибо !

    ¡ Gracias !

    Obrigado!

    !

    りがと

    !Grazie!

     Дякую!Зур рахмəт!