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    Model Solutions to Examination

    1

    ; ; ; ;

    ; ; ; ;

    ; ; ; ;

    ; ; ; ;

    y y y y

    y y y y

    y y y y

    y y y y

    Date:

    1. Complete the sections above but do not seal until the examination is finished.

    2. Insert in box on right the numbers of the questions attempted.

    3. Start each question on a new page.

    4. Rough working should be confined to left hand pages.

    5. This book must be handed in entire with the top corner sealed.

    6. Additional books must bear the name of the candidate, be sealed and be affixed tothe first book by means of a tag provided

    Subject:

    INSTRUCTIONS TO CANDIDATES

    8 Pages

    PLEASE READ EXAMINATION REGULATIONS ON BACK COVER

    No. Mk.

    N A M E : R E G I S T R A T I O N N O . :

    C O U R S E : Y E A R : S I G N A T U R E : C o m p l e t e t h i s s e c t i o n b u t

    d o n o t

    s e a l u n t i l t h e e x a m i n a t i o n

    i s f i n i s h e d

    Reservoir Simulation

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    Answer Notes

    # => indicates one of several possible answers which are equally acceptable.

    […] => extra information good but not essential for full marks - may get bonus.

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    Model Solutions to Examination

    3

    Q1Q1Q1Q1Q1 (i)# 1. To perform broad scooping calculations which examine different

    development options e.g. waterflooding, gas flooding etc.

    # 2. To extend initial material balance calculations by examining

    some other spatial factor such as well-placement or aquifer effect.

    (ii)

    # 1. To assess additional field management options such as infill drilling,

    pressure blowdown etc.

    # 2. To take the improved history match model which can be developed

    after same development twice and to use this to assess various IORstrategies e.g. gas injection, WAG or chemical flooding.

    Q2Q2Q2Q2Q2

    (i)

    # Because of its inherent simplicity you would virtually always apply

    single material balance to assess your field performance - to see if DP

    decline tallies with estimated field size, sources of influx and

    production.

    (ii)

    Would be used when a more complex development strategy requiring

    spatial information is essential e.g. well placement, assessment of shale

    effects, gravity segregation etc.

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    Q3Q3Q3Q3Q3(#) Because it is the only tool we have to tackle complex reservoir

    development/flow problems which extends material balance. Clearly, it

    is much better than simple material balance alone.

    Q4Q4Q4Q4Q4

    (i)The shale continuity strongly affects the hi/lo permeability layer

    vertical communication (both pressure and fluid flow). Thus, it will

    affect the effective k v/k h (lower or zero for continuous shales) and

    will strongly influence gravity slumping of water in a waterflood. In

    the situation above with high k on top, some vertical communication will

    help recovery.

    (ii)

    Set up a simple 2D cross sectional model with , say, 50 blocks in the x -

    direction and 10 vertical grid blocks - 5 in each layer. Run waterflood

    cases with and without shales - and some in-between cases with

    transmissibility modifiers set beween T z = 0.0 Æ 0.01 Æ 0.1 Æ 0.5 Æ 1.0.

    Compare water saturation fronts and recoveries as fraction of pv

    water throughput. Result will allow us to assess the effects of the

    shales in the waterflood.

    (iii)

    Different

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    Model Solutions to Examination

    5

    The high perm massive sand would have a small scale k v/k h ~1 which

    would result in a similar larger scale value. In the laminated sands, the

    “small” scale (say core plug scale) would have a low k v/k h of say 0.1 to

    0.01 and this would result in a correspondingly lower k v/k h at the grid

    block scale.

    (iv)

    Well

    Gas

    Oiland

    Water

    Oiland

    Water

    Gas

    = perforations

    Gas Coning It is the drawdown of the highly mobile (low mg) gas into

    the perforations. Pattern is shown here in figure. Causes high GOR

    production at a level well above the solution gas value.

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    Set up a near-well r/z geometry fine grid - possibly 50 layers and

    set reservoir near-well rock properties e.g. Layering, T z modifiers,

    Rel. perms. etc.

    Perform simulations to look at issues such as effect of rate, vertical

    communication, gas/oil/water Rel. perms. etc…

    Generally needs a fine Dr, Dz grid, often finer near the well where

    most rapid changes of S g and pressure with time occur.

    (v)1. The geometry would be different: r/z for coning and cartesian or

    corner point for full field.

    2. The fineness of the grid would be different. Very fine for near-

    well; much coarser for full field.

    # (Dimensionality too 2D vs. 3D)

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    Model Solutions to Examination

    7

    Q5Q5Q5Q5Q5

    (i)

    (ii)

    Numerical dispersion is the artificial spreading of saturation fronts

    due to the numerical grid block structure in the simulation. It arises

    because we take large grids to represent moving fronts. It can be

    improved by refining the grid (globally or locally) or by using improvednumerical methods.

    (iii)

    P

    Fluid tends toflow along (parallel)

    to the grids

    L

    P

    Wells same distanceapart in Figs A and B

    LII

    Fig A Fig B

    I = injector ; P = producer

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    (iv)

    The injected fluid tends to flow parallel with the grid from the

    injector (I) to the producer (P) - see previous page. This means that

    early breakthrough and poorer recoveries are seen in A then in B

    above. i.e.

    %00IPProducer

    Fig B

    Pv or Time

    Actual RecoveryFig A

    Q6Q6Q6Q6Q6

    (i)

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    / X (V+1) - X(V)/ < small number TOL. [Methods such as the Jacobi, LSOR,

    etc. are examples of this].

    Q7Q7Q7Q7Q7

    mo mo

    mw

    In block (i, j), then material balancecan be applied for each phase (e.g.oil and water) for 2-phase flow.

    i, j

    Mass

    Accumulation of=

    Amount that-

    Amount that

    oil over time flows in over flows out over

    D t D t D t

    But amount that flows in/out is given by the pressure differences

    between blocks i.e.

    Q A k k S

    P Poil i j i j ro o

    o i

    o oij i j ( , ) ( , ). . ( )

    - Æ-

    Ê Ë Á

    ˆ ¯ ˜

    -( )-112

    1 m

    Thus the two phase Darcy Law supplies the relation for volumetric flow

    rate and pressure in the grid block. These volumetric flows can be

    converted to MASS flows (x by density) and then put into the material

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    Model Solutions to Examination

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    balance equation to obtain Æ a conservation equation and in pressure

    equation for oil and water.

    \ Material Balance + Darcy’s Law => 2-phase Flow Equation.

    Q8Q8Q8Q8Q8

    (i)

    (ii)

    (a) V x yo = D D D z S of

    (b)

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    (iii)

    #

    Q9Q9Q9Q9Q9

    1. The black oil model essentially treats a phase (o,w,g) as the basicconserved unit or “pseudo component”

    2. Compositional models are based more correctly on the conservation

    of components (CH 4, C10, H2O etc.) - the black oil model simply treats

    gas dissolution in oil through R so - gas solubility

    3. The compositional models incorporate a full PVT description of the

    oil whereas the black oil model relies on the simple R so type treatment.

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    Model Solutions to Examination

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    (iii)

    (iv) # (a) Waterflood calculations in a low GOR - say 30 ∞ API - oil reservoir

    with pressure maintenance.

    # (b) CO2 injection in a - say 36 ∞ API - light oil system [Condensate

    system - gas recycling etc…]

    Q10Q10Q10Q10Q10

    (i)

    Upscaling in a waterflood essentially means getting the correct

    (effective) parameters (-e.g. rel. perm.) for the larger scale grid blocks

    which will reproduce a “correct” fine grid model.

    (ii)

    “Rock” relative permeabilities are meant to be the intrinsic

    representative properties of a representative piece of reservoir rock

    at the “small” (i.e. core plug) scale.

    Pseudo rel. perms. are effective properties at the “larger” (usually

    gridblock) scale which incorporate other effects and artefactsartefactsartefactsartefactsartefacts (e.g.

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    numerical dispersion, heterogeneity etc..) in addition to the intrinsic

    “rock” rel. perms.

    (iii)

    MethodologyMethodologyMethodologyMethodologyMethodology

    This is a geologically consistent approach to the task of upscaling. i.e.data collection, sedimentological framework,…

    [The function of the methodology is to get the geologically + fluid]

    mechanically “right” answer.

    Techniques?Techniques?Techniques?Techniques?Techniques?These refer to the actual mathematical algorithm to go from a fine

    grid Æ coarse grid. E.g. Kyte and Berry, Stone’s method, two phase

    tensors etc…

    [N.B. This just needs to reproduce the fine grid result - even if it is

    WRONG - at the coarse scale]

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    Model Solutions to Examination

    15

    Q11Q11Q11Q11Q11

    (i)

    (ii)

    It takes a lag distance of about the “range” to see the field variability

    (standard dev. - i.e. ~ 100mD) of the field.

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    (iii)

    lag

    1

    Q12Q12Q12Q12Q12

    (i)

    (ii)

    The effective permeability is clearly the harmonic (thickness -

    weighted) average as follows:

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    Model Solutions to Examination

    17

    (iii)The k eff in the randomised model would be between the two answers

    in (i) and (ii) above (the answer in (ii) being the lower).

    e.g. Strictly in a randomised distribution of permeability the average

    value tends to the geometric average (k g) in 2D

    kg - is less than the arithmetic (along layer) answer.

    kg - is greater than the harmonic (across layer) answer.

    Q13Q13Q13Q13Q13

    (i)

    Note - we take the same contour values (c= 0.1, 0.5, 0.8) in all sketches

    below.

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    (ii)

    (iii)

    (iv)

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    Model Solutions to Examination

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    2m

    ~50cm

    Tabular cross-bedding

    Bottom sets

    or climbing ripples

    Para-sequence/sequence-stacks of bedforms

    Eroded/? top setse.g.

    (ii)• Para sequence - sequence scale

    • At parasequence - sequence - also bed form influence

    • Para sequence - bed form

    • Lamina set - bed form

    Q16Q16Q16Q16Q16

    (a) There is a double peak - the bimodality probably arises from the

    lower perm plugs from deltaic sands, and the higher permeability plugs

    from the fluvial channel.

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    (b)

    A

    A

    B

    B

    Tightly laminateddeltaic sands

    Crossbeddesfluvialchannel-stacked crossbeds

    2 Scale pseudo-isation - inclined cross bed pseudo - bedform pseudo

    laminated sandpseudo

    Q17Q17Q17Q17Q17

    (i) (a)

    hi lo hi lo hi lo

    Sw

    CAPILLARY DOMINATED

    Spontaneous water inhibition into the LOW k laminae occurs inPc-dominated flow. This traps oil in the HIGH k laminae behind thefront where it is well above "residual" but it can't move because theRel. Perm. to oil in the low k water-filled laminae is so low.

    HIGH "remaining"oil in hi k

    Slow Flow

    Water flow direction High water Sw inLOW perms in awater-wet system

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    Along

    Across

    (b) The levels of “remaining” oil can be vastly different in laminar

    systems which, in simulation/upscaling, moves the pseudo rel. perm. end

    points. (see above).

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    Model Solutions to Examination