• No results found

7 1_Aquifers_EM

N/A
N/A
Protected

Academic year: 2021

Share "7 1_Aquifers_EM"

Copied!
19
0
0

Loading.... (view fulltext now)

Full text

(1)

R

e

se

rv

o

ir

R

e

se

rv

o

ir

S

im

u

la

tio

n

S

im

u

la

tio

n

--A

q

u

ife

rs

A

q

u

ife

rs

E tie n n e M O R E A U  In tr o d u ct io n • W h y ru n a flo w sim u la tio n ? • M a th e m a tic a l& N u m e ric a l co n sid e ra tio n s • E C LI P S E R e m in d e r

O

u

tli

n

e

 D a ta re v ie w • S p a ce & T im e D is cr e tis a tio n • R e se rv o ir d e sc rip tio n • F lu id d e sc rip tio n • In it ia l S ta te • A q u ife r R e p re se n ta tio n • F lo w d e sc rip tio n 2 • F lo w d e sc rip tio n  H is to ry m a tc h in g  P ro d u ct io n F o re ca st -R es er voi r S im ul at ion -Int roduc tion -E .M .

(2)

M

a

in

C

o

n

ce

p

ts

A

q

u

ife

rs

’ R

e

p

re

se

n

ta

tio

n

A

q

u

ife

rs

’ R

e

p

re

se

n

ta

tio

n

© 20 10 -IF P T rai nin g 3 -R es er voi r S im ul at ion -A qui fe rs -E .M .  P rin ci p le : U se th e e n e rg y o f th e a q u ife r • M o re o r le ss slo w s d o w n p re ss u re d e cl in e • D riv e s o il to w a rd s p ro d u ci n g w e lls  M a te ria l B a la n ce E q u a tio n

In

tr

o

d

u

ct

io

n

 M a te ria l B a la n ce E q u a tio n • F lo w te rm = o il , w a te r p ro d u ct io n s • E x p a n sio n te rm = o il + w a te r e x p a n sio n ; p o re co m p a ct io n ; w a te r in flu x

[

]

[

]

W e ∆ P S c c S B B B N i B W B N i w , i w , p i o , io, i o , o w p o p +       + + − = + © 20 10 -IF P T rai nin g 4  O b je ct iv e is to k n o w • C u m u la tiv e w a te r in flu x W e & P re ss u re su p p o rt v e rs u s tim e S i o ,   -R es er voi r S im ul at ion -A qui fe rs -E .M .

(3)

M

a

te

ria

l B

a

la

n

ce

E

q

u

a

tio

n

Contribution of the different mechanisms

w at er in je ct io n 1 D r i v e M e c h a n i s m -J a f r a

Contribution of the different mechanisms

A q u if er w at er in flu x R o ck C o m p ac tio n 0 , 2 5 0 , 5 0 , 7 5 5

Contribution of the different mechanisms

R o ck C o m p ac tio n F lu id e x p an si o n 0 1 / 0 6 / 1 9 9 2 3 0 / 1 2 / 1 9 9 3 3 0 / 0 7 / 1 9 9 5 2 6 / 0 2 / 1 9 9 7 2 7 / 0 9 / 1 9 9 8 0 0 , 2 5 T i m e ( d a t e d / m / y ) -R es er voi r S im ul at ion -A qui fe rs -E .M .  W e (t ) a n d Q (t ) p lo ts

M

a

te

ria

l B

a

la

n

ce

E

q

u

a

tio

n

6 -R es er voi r S im ul at ion -A qui fe rs -E .M .

(4)

 W e (t ) a n d Q (t ) p lo ts

M

a

te

ria

l B

a

la

n

ce

E

q

u

a

tio

n

© 20 10 -IF P T rai nin g 7 -R es er voi r S im ul at ion -A qui fe rs -E .M .

A

q

u

ife

r D

riv

e

: T

h

re

e

t

y

p

e

s o

f a

q

u

ife

rs

 B o tt o m D riv e  F lo w li n e s a re v e rt ic a l  E d g e d riv e  F lo w li n e s a re / / t o t h e d ip © 20 10 -IF P T rai nin g 8  F lo w li n e s a re v e rt ic a l -R es er voi r S im ul at ion -A qui fe rs -E .M .  F lo w li n e s a re / / t o t h e d ip  T w o C a se s  Li n e a r o r R a d ia l

(5)

A

q

u

ife

r D

riv

e

: T

w

o

t

y

p

e

s o

f e

d

g

e

a

q

u

ife

rs

 Li n e a r A q u ife r  F lo w li n e s a re p a ra lle l  R a d ia l A q u ife r  F lo w li n e s a re r a d ia l 9  F lo w li n e s a re p a ra lle l -R es er voi r S im ul at ion -A qui fe rs -E .M .  F lo w li n e s a re r a d ia l  M a te ria l B a la n ce E q u a tio n • C a n h e lp to b e tt e r u n d e rs ta n d a q u ife r im p a ct o n p ro d u ct io n m e ch a n is m s • C a n b e u se d to re a liz e se n sit iv it y ru n s o n a q u ife r p a ra m e te rs

A

q

u

ife

r M

o

d

e

lli

n

g

: M

a

in

C

o

n

ce

p

ts

 3 ty p e s o f b e h a v io u rs • T ra n sie n t b e h a v io u r  In fin it e a q u ife r • S te a d y – st a te b e h a v io u r  F in it e a q u ife r (o p e n ) • S e m i st e a d y -s ta te  F in it e a q u ife r (c lo se d )  A q u ife r D riv e : 3 ty p e s o f a q u ife rs 10 A q u ife r D riv e : 3 ty p e s o f a q u ife rs • B o tt o m A q u ife r • E d g e A q u ife r (L in e a r) • E d g e A q u ife r (R a d ia l) -R es er voi r S im ul at ion -A qui fe rs -E .M .

(6)

A

q

u

ife

rs

’ M

o

d

e

lli

n

g

A

q

u

ife

rs

’ R

e

p

re

se

n

ta

tio

n

A

q

u

ife

rs

’ R

e

p

re

se

n

ta

tio

n

© 20 10 -IF P T rai nin g 1 1 -R es er voi r S im ul at ion -A qui fe rs -E .M .  W a te r in flu x = A q u ife r E x p a n sio n

A

q

u

ife

rs

’ M

o

d

e

lli

n

g

: M

a

in

C

o

n

ce

p

ts

(

)

(

)

(

)

(

)

[

]

t P P C t V t ∆ V t W e aq in it aq aq aq − × × = =

(

)

(

)

(

)

(

)

p re ss u re fin al A q u if er t P ; p re ss u re in iti al A q u if er P ili ty co m p re ss ib A q u if er C lu m e A q u if er v o t V ex p an si o n A q u if er t ∆ V ; In flu x W at er t W e aq in it aq aq aq = = = = = = © 20 10 -IF P T rai nin g 12  R e m in d e r • V a q in cr e a se s w it h tim e in tr a n sie n t b e h a v io u r -R es er voi r S im ul at ion -A qui fe rs -E .M .

(7)

 A q u ife r C o m p re ss ib ili ty = P o re + w a te r C o m p re ss ib ili ty

A

q

u

ife

rs

’ M

o

d

e

lli

n

g

: M

a

in

C

o

n

ce

p

ts

ili ty co m p re ss ib P o re C C C C w p aq = + =  O rd e r o f m a g n it u d e s ili ty co m p re ss ib W at er C ili ty co m p re ss ib P o re C w p = = ar v o l/v o l/b 1 0 0 .7 to 0 .3 C 4 − = 13 -R es er voi r S im ul at ion -A qui fe rs -E .M . re se rv o ir ) d at ed (u n co n so li ar v o l/v o l/b 1 0 to u p re se rv o ir ) te d (c o n so lid a ar v o l/v o l/b 1 0 0 .7 to 0 .3 C ar v o l/v o l/b 1 0 0 .7 to 0 .3 C 3 4 p w − − = =  A q u ife r flo w ra te

A

q

u

ife

rs

’ M

o

d

e

lli

n

g

: M

a

in

C

o

n

ce

p

ts

) P (t) (P µ (t) T d t (t) W d (t) Q re s aq w ab e aq w , − × = = p re ss u re R es er v o ir P ; p re ss u re A q u if er (t) P o si ty W at er v is c µ ty an sm is si v i A q u if er tr (t) T ti m e in flu x v s w at er C u m u la tiv e (t) W ra te flo w A q u if er (t) Q re s aq w ab e aq w , = = = = = = 14  R e m in d e r • A q u ife r T ra n sm is siv it y d e cr e a se s w it h tim e in tr a n sie n t b e h a v io u r -R es er voi r S im ul at ion -A qui fe rs -E .M .

(8)

A

q

u

ife

rs

’ M

o

d

e

lli

n

g

: B

o

tt

o

m

A

q

u

ife

r

© 20 10 -IF P T rai nin g 15 -R es er voi r S im ul at ion -A qui fe rs -E .M . 1 0 k m

A

q

u

ife

rs

’ M

o

d

e

lli

n

g

: E

d

g

e

A

q

u

ife

r

T h e s e re s u lts d e p e n d s o n th e fo llo w in g p a ra m e te rs : V a q = A q u ife r V o lu m e C t = A q u ife r C o m p re s s ib ilit y O b je c tiv e is to k n o w c u m u la tiv e w a te r i n flu x a n d p re s s u re s u p p o rt v e rs u s ti m e © 20 10 -IF P T rai nin g 16 T a q = T ra n s m is s iv ity b e tw e e n re s e rv o ir a n d a q u ife r T h e re a re w o p o s s ib ilit ie s : 1 -U s e o f l a rg e g rid c e lls 2 -U s e o f H u rs t & v a n E v e rd in g e n fu n c tio n s . -R es er voi r S im ul at ion -A qui fe rs -E .M .

(9)

E

d

g

e

A

q

u

ife

r M

o

d

e

lli

n

g

: 2

T

y

p

e

s o

f r

e

p

re

se

n

ta

tio

n

G ri d d ed A q u if er A n al yt ic al A q u if er 17 -R es er voi r S im ul at ion -A qui fe rs -E .M . P ro ’s

R

a

d

ia

l A

q

u

ife

r M

o

d

e

lli

n

g

: U

se

o

f l

a

rg

e

g

rid

c

e

lls

N o s p e c ia l a lg o rit h m A q u ife r p re s s u re a v a ila b le -C o n ’s U s e le s s c a lc u la tio n s In c o rr e c t r e p re s e n ta tio n o f t ra n s ie n t f lo w s 18 In c o rr e c t r e p re s e n ta tio n o f t ra n s ie n t f lo w s R is k o f t ra n s m is s iv ity o v e re s tim a tio n -R es er voi r S im ul at ion -A qui fe rs -E .M .

(10)

P ro ’s

R

a

d

ia

l A

q

u

ife

r M

o

d

e

lli

n

g

: U

se

o

f A

n

a

ly

tic

a

l A

q

u

ife

rs

G o o d re p re s e n ta tio n o f t ra n s ie n t f lo w s . O p tim iz a tio n o f n u m b e r o f c e lls . -C o n ’s N e e d fo r s p e c ific a lg o rit h m s . N e e d to h a n d le H u rs t & V a n E v e rd in g e n ta b u la tio n s . © 20 10 -IF P T rai nin g 19 N e e d to h a n d le H u rs t & V a n E v e rd in g e n ta b u la tio n s . -R es er voi r S im ul at ion -A qui fe rs -E .M .  3 M a in P a ra m e te rs • A q u ife r V o lu m e − C o n ta ct A re a ,, A q u ife r E x te n si o n , N e t T h ic k n e ss, N e t P o ro si ty • A q u ife r T ra n sm is siv it y − C o n ta ct A re a , A q u ife r E x te n si o n , N e t P e rm e a b ili ty ,

A

q

u

ife

r M

o

d

e

lli

n

g

: K

e

y

P

o

in

ts

− C o n ta ct A re a , A q u ife r E x te n si o n , N e t P e rm e a b ili ty , • A q u ife r C o m p re ss ib ili ty − P o re & W a te r C o m p re ssi b ili ty  2 ty p e s o f re p re se n ta tio n • B o tt o m A q u ife r  G rid d e d A q u ife r • E d g e A q u ife r  U se o f la rg e ce lls o r a n a ly tic a l fu n ct io n s © 20 10 -IF P T rai nin g 20 • E d g e A q u ife r  U se o f la rg e ce lls o r a n a ly tic a l fu n ct io n s -R es er voi r S im ul at ion -A qui fe rs -E .M .

(11)

B o tto m A q u ife r E d g e A q u ife r V o lu m e T ra n s . C o m p r. V o lu m e T ra n s . C o m p r. V o lu m e T ra n s . C o m p r. V o lu m e T ra n s . C o m p r. P o o l R a d iu s x x E xt e rn a l R a d iu s x x N e t T h ic k n e s s x x x x N e t P o ro s ity x x H o r. P e rm e a b ilit y x V e rt. P e rm e a b ilit y x 21 V e rt. P e rm e a b ilit y x P o re C o m p re s s ib ilit y x x W a te r C o m p re s s ib ilit y x x -R es er voi r S im ul at ion -A qui fe rs -E .M .

R

a

d

ia

l A

q

u

ife

r M

o

d

e

lli

n

g

A

q

u

ife

rs

’ R

e

p

re

se

n

ta

tio

n

A

q

u

ife

rs

’ R

e

p

re

se

n

ta

tio

n

22 -R es er voi r S im ul at ion -A qui fe rs -E .M .

(12)

1 0 k m

R

a

d

ia

l A

q

u

ife

r M

o

d

e

lli

n

g

© 20 10 -IF P T rai nin g 23 -R es er voi r S im ul at ion -A qui fe rs -E .M .  M a in h y p o th e se s • A q u ife r is in fin it e a n d h o m o g e n e o u s • In it ia l p re ss u re is co n st a n t • R e se rv o ir is p u t in to p ro d u ct io n a t a co n st a n t flo w ra te

R

a

d

ia

l A

q

u

ife

r:

M

a

th

e

m

a

tic

a

l m

o

d

e

l (

In

fin

it

e

A

q

u

ife

r)

 D iff u siv it y E q u a tio n  M a in P a ra m e te rs

t

P

K

1

r

P

r

1

r

P

2 2

=

+

© 20 10 -IF P T rai nin g 24  M a in P a ra m e te rs -R es er voi r S im ul at ion -A qui fe rs -E .M .

(13)

R

a

d

ia

l A

q

u

ife

r:

P

re

ss

u

re

B

e

h

a

v

io

u

r

25 -R es er voi r S im ul at ion -A qui fe rs -E .M .

A

n

a

ly

tic

a

l C

lo

se

d

A

q

u

ife

r

26 -R es er voi r S im ul at ion -A qui fe rs -E .M .

(14)

 In st a n ta n e o u s e x p a n sio n o f a fin it e v o lu m e

A

n

a

ly

tic

a

l C

lo

se

d

A

q

u

ife

r

d t d P C V d t d W e Q ∆ P C V W e aq aq aq aq w , aq aq aq × × = = × × = T h is is u su a lly a p p lie d to sm a ll a q u ife rs w it h cl o se d P re ss u re A q u if er P W at er ) (P o re s lit y C o m p re si b i A q u if er C V o lu m e A q u if er V -d t d P C V d t d W e Q aq aq aq aq aq aq aq w , = + = = × × = = © 20 10 -IF P T rai nin g 27  T h is is u su a lly a p p lie d to sm a ll a q u ife rs w it h cl o se d b o u n d a rie s a n d in e q u ili b riu m w it h th e re se rv o ir s.  T h is is e q u iv a le n t to a m u lt ip lie d p o re v o lu m e -R es er voi r S im ul at ion -A qui fe rs -E .M .

S

te

a

d

y

S

ta

te

A

q

u

ife

r (

F

e

tk

o

v

it

ch

)

© 20 10 -IF P T rai nin g 28 -R es er voi r S im ul at ion -A qui fe rs -E .M .

(15)

 C o n st a n t p re ss u re e q u a l to th e in it ia l p re ss u re

S

te

a

d

y

S

ta

te

A

q

u

ife

r (

F

e

tk

o

v

it

ch

)

(

)

(

)

t P P T W e P P T d t d W e Q re s aq aq re s aq aq aq w , × − × = − × = = It is a ss u m e d th a t th e a q u ife r b e h a v e s a s a n in fin it e a q u ife r P re ss u re R es er v o ir P P re ss u re A q u if er P b ili ty T ra n sm is si A q u if er T -re s aq aq = = = 29  It is a ss u m e d th a t th e a q u ife r b e h a v e s a s a n in fin it e a q u ife r th a t is to sa y th e p re ss u re a t th e o u te r b o u n d a ry o f th e a q u ife r d o e s n o t ch a n g e . -R es er voi r S im ul at ion -A qui fe rs -E .M .

T

ra

n

sie

n

t a

q

u

ife

r

30 -R es er voi r S im ul at ion -A qui fe rs -E .M .

(16)

R

a

d

ia

l A

q

u

ife

r:

P

re

ss

u

re

B

e

h

a

v

io

u

r

© 20 10 -IF P T rai nin g 31 -R es er voi r S im ul at ion -A qui fe rs -E .M .  In n e a rly a ll a p p lic a tio n s, th e cl o se d o r st e a d y -s ta te m o d e ls d is cu ss e d b e fo re a re n o t a d e q u a te in d e sc rib in g th e w a te r in flu x . • T h e y m o b ili ze th e w h o le a q u ife r v o lu m e in st a n ta n e o u sly . • T h e w h o le a q u ife r v o lu m e is su p p o se d to b e a t th e sa m e

T

ra

n

sie

n

t a

q

u

ife

r

• T h e w h o le a q u ife r v o lu m e is su p p o se d to b e a t th e sa m e p re ss u re :  In fa ct , a s d iff u siv it y h a s a fin it e v a lu e , p re ss u re d ro p in th e re se rv o ir m a k e s a q u ife r e x p a n sio n m o re in te n se cl o se to th e re se rv o ir , a n d p ro p a g a tin g a s tim e p a ss e s.  In sin g le p h a se flo w a n d fo r sli g h tly co m p re ss ib le flu id th e © 20 10 -IF P T rai nin g 32  In sin g le p h a se flo w a n d fo r sli g h tly co m p re ss ib le flu id th e d iff u siv it y e q u a tio n is : -R es er voi r S im ul at ion -A qui fe rs -E .M . t p k c µ φ r p r 1 r p 2 2 ∂ ∂ =         ∂ ∂ + ∂ ∂

(17)

A Q U IF E R P er m ea b ili ty = k P o ro si ty = φ T h ic k n es s = h C o m p re ss ib ili ty = c E x te rn al ra d iu s = r e In te rn al r ad iu s = r i A p er tu re = θ

T

ra

n

sie

n

t R

a

d

ia

l A

q

u

ife

r:

H

u

rs

t &

V

a

n

E

v

e

rd

in

g

e

n

C o m p re ss ib ili ty = c A p er tu re = θ re θ 33 rp W a te r i n flu x = W e (r e /r i, θ , k .h , φ .h .c ) -R es er voi r S im ul at ion -A qui fe rs -E .M .

R

a

d

ia

l A

q

u

ife

r:

A

q

u

ife

r g

e

o

m

e

tr

y

(e

x

a

m

p

le

)

34 A p e rtu re = 4 0 ° In n e r r a d iu s = 2 0 0 0 m O u te r r a d iu s = 2 0 0 0 0 m

(18)

H

u

rs

t &

V

a

n

E

v

e

rd

in

g

e

n

P a ra m e te r D a ta R e la tio n s h ip θ = A p e rtu re A = C o n ta c t A re a r i = in n e r r a d iu s V o il = O il V o lu m e r h θ A i = 2 o il i r 2 φ h θ V = © 20 10 -IF P T rai nin g 35 r e = o u te r r a d iu s V a q = A q u ife r V o lu m e

(

)

2 2 e aq i r -r 2 φ h θ V = -R es er voi r S im ul at ion -A qui fe rs -E .M .

H

u

rs

t &

V

a

n

E

v

e

rd

in

g

e

n

P a ra m e te r D a ta R e la tio n s h ip θ = A p e rtu re A = C o n ta c t A re a r i = in n e r r a d iu s V o il = O il V o lu m e V h 2 A θ o il 2 = φ A 2 V r o il i = © 20 10 -IF P T rai nin g 36 r e = o u te r r a d iu s V a q = A q u ife r V o lu m e o il aq o il e V V 1 φ A 2 V r + = -R es er voi r S im ul at ion -A qui fe rs -E .M .

(19)

R

a

d

ia

l A

q

u

ife

r :

In

flu

e

n

ce

o

f a

q

u

ife

r s

iz

e

(e

x

a

m

p

le

)

3 2 0 P ro d u ct io n S im u la tio n -Ja fra R e /R i R a d ia l A q u ife r -Ja fra 1 0 0 0 2 0 0 2 4 0 2 8 0

Tank Pressure (bar)

1 10 10 0 3 2 4 6 10 20 37 0 1 /0 2 /9 2 3 0 /0 9 /9 3 3 1 /0 5 /9 5 2 7 /0 1 /9 7 2 7 /0 9 /9 8 1 6 0 T im e (d a te d /m /y ) R e d u ce d ti m e tD ,0 0 1 0 ,0 1 0 ,1 1 1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 ,0 1 0 ,1 -R es er voi r S im ul at ion -A qui fe rs -E .M .  T h re e ca se s h a v e b e e n sim u la te d w it h th e sa m e p ro d u ct io n h is to ry

R

a

d

ia

l A

q

u

ife

r :

In

flu

e

n

ce

o

f a

q

u

ife

r p

e

rm

. (

e

x

e

rc

is

e

)

38  Id e n tif y th e fo llo w in g p o in ts : • A t w h a t tim e fie ld is sh u t– in • W h a t ca se co rr e sp o n d to n o a q u ife r, lo w p e rm . o r h ig h p e rm . a q u ife r -R es er voi r S im ul at ion -A qui fe rs -E .M .

References

Related documents

Broadly  speaking,  public  service  objectives  in  broadcasting  are  pursued  through  either   structural   interventions  or   regulatory

– In 2008 the European Union’s creative industries most impacted by piracy (film, TV series, recorded music and software) experienced retail revenue losses of € 10 billion

There are some data service will run on the plane, and the virtual storage pool and virtual storage array can provide the application with the data service, as shown in Figure

The German Financial Reporting Enforcement Panel examined the consolidated financial statements for the year ended 31 December 2012 together with the Group management report

Inc.’s operations, performance and financial position for the quarter ended January 31, 2016, compared with the quarter ended January 31, 2015, and should be read in conjunction with

The Law Theater Project, in collaboration with the Rainbow Theatre Project Monumental Theatre Company Mosaic Theater Company of DC Naked Theatre Company NextStop Theatre Nu

(1) Any person holding a valid hotel certificate shall, on payment of a processing fee of 1,000 rupees, make an application in writing to the Committee for a star rating certificate

(Note that many households' nancial benet from bankruptcy is unaected by a change in the exemption level, since they have few non-exempt assets.) Because more households benet from