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8/9/2019 ResSimModSol
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Model Solutions to Examination
1
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y y y y
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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
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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
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(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