well testing in oil and gas engineering .pdf

KhaledYassin19 17 views 51 slides Mar 07, 2025
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About This Presentation

All you need to know


Slide Content

Network of Excellence in Training
Dominique Bourdet
Introduction to Well
Testing
and Interpretation
WCP1 Course

2
Network of Excellence in Training
•Introduction
•Well Testing Procedures and Hardware
•Examples of Typical Flow regimes
•Conclusions
Well Testing and Interpretation

3
Network of Excellence in Training
Description of a Well Test
Time, t
Rate, q Pressure, p
t
BU
t
Dd
p
Dd
p
BU
p
i
p(t=0)
drawdown build-up
Drawdown :
Build-up :  pptpt  ()( )0 pppt
i
()

4
Network of Excellence in Training
Well Test Objectives
•EXPLORATION WELL
•APPRAISAL WELL
•DEVELOPMENT WELL

5
Network of Excellence in Training
Well Test Objectives
•EXPLORATION
–Nature and rate of produced fluid
–Initial pressure
–Reservoir properties

6
Network of Excellence in Training
Well Test Objectives
–Reservoir properties
•permeability
•heterogeneity
•reservoir boundaries
–Well productivity
–Fluid properties (sampling)
•APPRAISAL

7
Network of Excellence in Training
Well Test Objectives
–Reservoir properties
•drainage mechanism (permanent gauges)
•communication between wells
–Well productivity
–Average pressure
•DEVELOPMENT

8
Network of Excellence in Training
Information obtained from Well Testing
–Reservoir responses
•Reservoir in dynamic condition (flow lines are
established)
•Large volume investigated (averaging)p
–Results
•Permeability (horizontal kand vertical k
v)
•Reservoir heterogeneities
–natural fractures,
–layering,
–change of characteristics.
•Pressure (initial p
iand average )
•Boundaries (distance and shape)
•RESERVOIR DESCRIPTION

9
Network of Excellence in Training
Information obtained from Well Testing
•WELL DESCRIPTION
–Results
•Production potential
–productivity index PI,
–skin factor S
•Well geometry

1
0
Network of Excellence in Training I S O
input system output
Inverse problem : O / I
=
S
Direct problem : I
* S
=
O
Interpretation Methodology

1
1
Network of Excellence in Training
Input Data required for Well Test Analysis
•TEST DATA
–Flow rate (sequence of event)
–Bottom hole pressure
•WELL DATA
–Wellbore radius r
wand geometry
–Depths (formation, gauges)

1
2
Network of Excellence in Training
Input Data required for Well Test Analysis
•RESERVOIR AND FLUID PARAMETER
–Formation thickness h(net)
–Porosity 
–Formation volume factor B
–Oil viscosity 
–Compressibility of oil c
o, water c
wand formation
c
f,water saturation S
w 
fwwwot
cScScc 1

1
3
Network of Excellence in Training
Types of Well Tests
–Drawdown test
–Build-up test
–Injection test / fall-off test
–Interference test and pulse test
–Gas well test
•Flow after flow test,
•Isochronal test,
•Modified isochronal test
•PROCEDURE

1
4
Network of Excellence in Training
Types of Well Tests
•COMPLETION
–Production test
–Drill stem test (DST)

1
5
Network of Excellence in Training
Test Sequence (oil well)
–Clean-up period (drilling and completion fluids, no measurement)
–Initial shut-in (pressure gauge at depth, initial pressure p
i)
–Variable rate (start of rate measurement)
–Stabilized rate (main flow)
–Shut-in: build-up periodTime, t
Clean
up
Initial
shut-in
Variable
rate
Stabilized
rate
Build-up
Time, t
Rate,
q Pressure, p
Clean
up
Initial
shut-in
Variable
rate
Stabilized
rate
Build-up

1
6
Network of Excellence in Training
Drill Stem TestFlowhead
BOP Stack
Casing
Tubing
Test tool
Packer
Flowhead
BOP Stack
Casing
Tubing
Test tool
Packer
•ONSHORE
TESTING

1
7
Network of Excellence in Training
Drill Stem Test
•OFFSHORE TESTINGFixed Rig (100 m maximum)
Fixed point at
Packer
Fixed Rig (100 m maximum)
Fixed point at
Packer

1
8
Network of Excellence in Training
Drill Stem Test
•Cased hole
DST STRINGS
–Open hole
packer
–Barefoot
–Zonal Isolation
•Openhole

1
9
Network of Excellence in Training
Surface Equipment
•FLOW HEAD: flowing, killing, wireline
•CHOKE MANIFOLD : positive & adjustable
•HEATER: hydrates, high viscosity
•SEPARATOR: metering of three phases
•TANK: oil rate
•BURNER

2
0
Network of Excellence in Training
Surface Equipment
SURFACE SETUP
Burner
Burner
Heater
Separator
Surge
tank
Air
compressor
Water
pump
Rig HP
pump
Gas
OilWater
Choke
maniflod
Flowhead
Transfer pump
Oil
manifold
Gas
manifold

2
1
Network of Excellence in Training
Test Separator
•RATE MEASUREMENT
–Oil and water: positive displacement
–Gas: orifice meterEffluent
Water Oil
Gas
Effluent
Water OilWater Oil
Gas
•THREE PHASES: oil, water and gas

2
2
Network of Excellence in Training
Down Hole Equipment
•PRESSURE GAUGES : memory or surface read out
•DOWN HOLE VALVE : DST, sampling
•BOTTOM HOLE SAMPLER : PVT analysis
•RFT, MDT: initial pressure, gradient & contacts,
permeability

2
3
Network of Excellence in Training
Safety
•EQUIPMENT: pressure, temperature, sour gas
•PROCEDURE: pressure test, emergency shut-
down, day / night, safe area
•ENVIRONMENT: burning, oil drop out

2
4
Network of Excellence in Training
Wellbore Storage


 r
rw
pi
pw

2
5
Network of Excellence in Training
Wellbore Storage

Time, t
Rate, q Pressure, p
q
Surface
q
Sand Face
t
Dd
p
Dd
t
BU
p
BU

2
6
Network of Excellence in Training
Wellbore Storageg
V
C
u


non-eruptive well:wo
Vc
p
V
C 



C: wellbore storage coefficient
(Bbl/psi)
with
c
o : fluid compressibility
V
w : wellbore volume

2
7
Network of Excellence in Training
Wellbore Storaget
C
qB
p 
24
•Straight lineon linear scale(at the beginning of
the response)Elapsedtime,t
Pressure change,

p
m
WBS
Elapsedtime,t
Pressure change,

p
m
WBS

2
8
Network of Excellence in Training
Radial Flow Regime (infinite
homogeneous behavior)




 


 p
wf
r
w r
r
i
p
p
i
S = 0
p
wf
r
w r
r
i
p
p
i
S = 0

2
9
Network of Excellence in Training
Radial Flow Regime
(infinite homogeneous behavior)r
w r
p
wf
(S=0)
p
wf
(S>0)
r
i
pskin
p
p
i
S > 0
r
w r
p
wf
(S=0)
p
wf
(S>0)
r
i
pskin
p
p
i
r
w r
p
wf
(S=0)
p
wf
(S>0)
r
i
pskin
p
p
i
S > 0
P
wf
(S<0)
p
skin
p
i
P
wf
(S=0)
S < 0

3
0
Network of Excellence in Training
Radial Flow Regime
(infinite homogeneous behavior)Skin
p
qB
kh
S 
2.141
•SKIN:
•DAMAGED WELL(S>0):poorcontactbetween
thewellandthereservoir(mud-cake,insufficient
perforationdensity,partialpenetration)orinvadedzone
•STIMULATED WELL(S<0):surfaceof
contactbetweenthewellandthereservoirincreased
(fracture,horizontalwell)orstimulatedzone

3
1
Network of Excellence in Training
Radial Flow Regime
(infinite homogeneous behavior)
Equivalent wellbore radius:S
err
wwe

 w
S
w
S
S
SwSw
r
r
kh
qB
r
r
hk
qB
pp ln
2.141
ln
2.141
0,,


  
w
S
S
SwSw
r
r
k
k
pp
qB
kh
S ln1
2.141
0,, 










Radial steady state flow:
rw
rs
ks
k

3
2
Network of Excellence in Training
Radial Flow Regime
(infinite homogeneous behavior)





 S
rc
k
t
kh
qB
p
wt
87.023.3loglog6.162
2


•Semi-log
straight
lineLogt
Pressure change,

p
m
p
(1hr)
Logt
Pressure change,

p
m
p
(1hr)

3
3
Network of Excellence in Training
Radial Flow Regime
(infinite homogeneous behavior)
•RESULTS:
1. the semi-log straight line slope m: the permeability km
qB
kh

6.162 









 23.3log151.1
2
hr 1
wt
rc
k
m
p
S

2. the straight line intercept: the skin factor S

3
4
Network of Excellence in Training
Radial Flow Regime
(infinite homogeneous behavior)
-Low
permeability
-High
permeability
0
2000
4000
6000
0 10 20 30 40
time, hours
pressure, psi
no skin
moderate skin
0
2000
4000
6000
0 10 20 30 40
time, hours
pressure, psi
high skin
very high skin

3
5
Network of Excellence in Training
Radial Flow Regime
(infinite homogeneous behavior)
-Low
permeability
0
1000
2000
3000
0.001 0.01 0.1 1 10 100
time, hours
pressure change, psi
no skin
moderate skin
p skin
-High
permeability
0
1000
2000
3000
0.001 0.01 0.1 1 10 100
time, hours
pressure change, psi
high skin
very high skin
p skin

3
6
Network of Excellence in Training
Fractured Well: Linear Flow Regime
•INFINITECONDUCTIVITY FRACTURE
xf

3
7
Network of Excellence in Training
Fractured Well: Linear Flow Regimet
kchx
qB
p
tf



06.4 Pressure change,

p
m
LF
t
Pressure change,

p
m
LF
t
•Straight line
with the
pressure versus
the square root
of time

3
8
Network of Excellence in Training
Example
•SEMI-LOG ANALYSIS0
500
1000
1500
2000
2500
3000
1.00E-03 1.00E-02 1.00E-01 1.00E+00 1.00E+01 1.00E+02
time, hours
pressure change,
psi
Flow rate : 1000 BOPD
Fluid Volume-Factor : 1.2000 vol/vol
Fluid Viscosity :0.500E+00 CP
porosity : 25.0000 %
net thickness : 30.000 FEET
well-bore radius :0.300E+00 FEET
Total Compres:0.185E-04 1/psi
Straight line slope : m = psi/cycle
Straight line pressure at 1 hour : Dp(1hr)= psi
Permeability thickness : kh = md.ft
Skin factor S =

3
9
Network of Excellence in Training
•SEMI-LOG ANALYSIS10
-3
10
-2
10
-1
10
0
10
1
3000.
3500.
4000.
4500.
5000.
5500.
Delta-T (hr)
P PSI
SLOPE
Perm-Thickness = 380. MD-FEET
permeability = 12.7 MD
skin = 5.69
prod. time=0. hr at rate=1000.000 STB/D
R(inv) at 22.63 hr = 356. FEET
R(inv) at 1.188 hr = 81.7 FEET
slope of the line = -256.673 PSI/cycle
1996/01/01-1000 : OIL
Example

4
0
Network of Excellence in Training
Closed Reservoir: Pseudo Steady
State Regimerrw
pi
re
pw

4
1
Network of Excellence in Training
Closed Reservoir: Pseudo Steady State Regime








 rrwpi
re
pw

4
2
Network of Excellence in Trainingrrwpi
re
pw
Closed Reservoir: Pseudo Steady
State Regime

4
3
Network of Excellence in Training
Time, t
Pressure, p
p
i
p
-
Closed Reservoir: Pseudo Steady
State Regime
•Straight line on linear scale

4
4
Network of Excellence in Training
Closed Reservoir: Pseudo Steady State Regime
–At late time, 








SC
r
A
kh
qB
t
hAc
qB
p
A
wt
87.0351.0log
log6.162234.0
2

 *
234.0
mc
qB
hA
t

–Result:the reservoir pore volume

4
5
Network of Excellence in Training
Well Responses
•FLOW REGIMES
–Geometry of the flow lines :
radial, linear, spherical, etc.
–Pressure : (t) =
etc.ttt  1,,log
–Straight line on a specialized pressure versus time plot.

4
6
Network of Excellence in Training
Well Responses
•WELL RESPONSES
–Fractured well:
–Well in a channel:
1. Linear
2. Radial
1. Radial
2. Linear

4
7
Network of Excellence in Training
Build-up analysis
•Semi-logscale: Horner plot
Pressure,
psia
(tp + t) / t
1 10
1
10
2
10
3
10
4
3000
3250
3500
3750
4000
Pressure,
psia
(tp + t) / t
1 10
1
10
2
10
3
10
4
3000
3250
3500
3750
4000

4
8
Network of Excellence in Training
Type Curve analysis
•Log-log ScaleDim ensionless tim e,t
D
C
D
10
-1
1

10 10
2
10
3
10
4
Dim ensionless Pressure, p
D
10
2
10
1
10
-1
C
D
e
2S
Start of sem i-log radial flow

4
9
Network of Excellence in Training
Derivative Analysis
1.0E+00
1.0E+01
1.0E+02
1.0E+03
1.0E-03 1.0E-02 1.0E-01 1.0E+00 1.0E+01 1.0E+02
t, hours

p and

p', psi
derivative
pressure
•Well withwellbore storage& skinin a
homogeneous reservoir

5
0
Network of Excellence in Training
Derivative Analysis
Dimensionless pressure, p
D
10
2
10
1
10
-1
10
-1
1 10 10
3
10
4
10
5
C
D
e
2S
10
3
3
10
30
10
20
10
15
10
10
10
6
10
4
0.3
10
2
Approximate
end of
wellbore
storage
DAMAGED
NORMAL
ACIDIZED
10
40
10
50
10
60
10
8
10
1
10
3
10
4
10
6
10
8
10
10
10
15
10
20
10
30
10
40
10
50
10
60
10
30
10
20
10
15
10
10
10
6
10
4
10
2
10
60
10
40
10
3
10
8
10
3
1
0.3
C
D
e
2S
10
50
2
10
1
10
-1
10
-1
1 10 10 10
3
10
4
10
5
Dimensionless time, t
D/C
D
C
D
e
2S
10
3
3
10
30
10
20
10
15
10
10
10
6
10
4
0.3
10
2
Approximate
end of
wellbore
storage
DAMAGED
NORMAL
ACIDIZED
10
40
10
50
10
60
10
8
10
1
10
3
10
4
10
6
10
8
10
10
10
15
10
20
10
30
10
40
10
50
10
60
10
30
10
20
10
15
10
10
10
6
10
4
10
2
10
60
10
40
10
3
10
8
10
3
1
0.3
C
D
e
2S
10
50
10
1
10
-1
10
-1
1 10
2
10
3
10
4
10
5
C
D
e
2S
10
3
3
10
30
10
20
10
15
10
10
10
6
10
4
0.3
10
2
Approximate
end of
wellbore
storage
DAMAGED
NORMAL
ACIDIZED
10
40
10
50
10
60
10
8
10
1
10
3
10
4
10
6
10
8
10
10
10
15
10
20
10
30
10
40
10
50
10
60
C
D
e
2S
10
3
3
10
30
10
20
10
15
10
10
10
6
10
4
0.3
10
2
Approximate
end of
wellbore
storage
DAMAGED
NORMAL
ACIDIZED
10
40
10
50
10
60
10
8
10
1
10
3
10
4
10
6
10
8
10
10
10
15
10
20
10
30
10
40
10
50
10
60
10
3
10
4
10
6
10
8
10
10
10
15
10
20
10
30
10
40
10
50
10
60
10
30
10
20
10
15
10
10
10
6
10
4
10
2
10
60
10
40
10
3
10
8
10
3
1
0.3
C
D
e
2S
10
50
•Well withwellbore storage& skinin a
homogeneous reservoir

Network of Excellence in Training
Testing
End of Module
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