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Oil Well Pressure Analysis

The document describes analyzing pressure buildup test data from an oil well in Ras Ghareb oil field in Egypt to determine formation characteristics. A pressure buildup test was performed by shutting in the well for 30 hours. Horner's method was used to analyze the pressure buildup test data and generate a Horner plot. The Horner plot analysis yielded values for initial reservoir pressure, permeability, and skin factor. The permeability was calculated to be 90 md and the skin factor was used to determine the additional pressure loss due to wellbore effects.

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0% found this document useful (0 votes)
73 views11 pages

Oil Well Pressure Analysis

The document describes analyzing pressure buildup test data from an oil well in Ras Ghareb oil field in Egypt to determine formation characteristics. A pressure buildup test was performed by shutting in the well for 30 hours. Horner's method was used to analyze the pressure buildup test data and generate a Horner plot. The Horner plot analysis yielded values for initial reservoir pressure, permeability, and skin factor. The permeability was calculated to be 90 md and the skin factor was used to determine the additional pressure loss due to wellbore effects.

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wisam alkhoory
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© © All Rights Reserved
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Well Testing Analysis

5.1 introduction

Pressure Build Up Test is performed by shutting down the wells and allowing the

pressure to build up. In a producing well, pressure can be build up by performing pressure Build

Up tests. In order to perform such tests, the production rate needs to be stabilized for several

days in the oil and gas wells that need to be tested for pressure Build Up. Once the stabilization

is reached, a pressure measuring device is placed near the perforations for several hours before

shut-in of the well is done. This method helps in building up the pressure in the reservoir, and

formation properties can be estimated by understanding the rate of pressure Build Up in the time

for which well was shut in. In this case study a buildup test was run for Ras Ghareb oil field in

Egypt determines formation characteristics such as, Formation Permeability, Initial Pressure,

Skin, and other information.

5.2 Horner’s solution for pressure test analysis

Assumption for the Horner’s solution:

 Homogeneous reservoir permeability

 The fluid compressibility is small or neglected

 Single phase flow

 The well diameter is approach to zero

 Infinite acting reservoir


From the given data of time and the pressure, this plotting has been done to get the (tp) and the

pressure at the time of shut in (pwf)

12000

10000

8000
PWS,psi

6000

4000
pw
f
2000

0
0 20 40 60 80 100 120 140 160 180 200

∆t, hrs

Figure 5.1 recorded data of the buildup test

Fig 5.1 shows the value of tp and Pwf at ∆t =0


Tp=30 hrs.
Pwf = 3500 psi

The following data in table 5.1 was gathered from PVT report, logging and geology
Table 5.1 PVT report, well logging & geological data

Tp(hrs) Q(stb/ Rw Ф% Βo(bbl/stb) H(ft) Co(1/psi) μ(cp)


d) (ft)
30 3388.3 0.30 0.16 1.8081 28 14.90(10^-6 0.139
We will use the Horner plot model to find the requirements.

Horner plot

4600

4500

4400

4300

4200
Pws (psi)

4100

4000

3900

3800

3700
100000.00 10000.00 1000.00 100.00 10.00 1.00

tp+∆t/∆t (hrs)

Figure 5.2 Horner plot


Fig 5.2, commonly referred tp as the Horner plot.

We can note that on the Horner plot, the scale of time ratio (tp+ ∆t/∆t) increases from right to

left. Graphically this means that the initial reservoir pressure pi, can be obtained by extrapolating

the Horner plot straight line to (tp+∆t/∆t) =1

We need to read the pressure after 1 hour of Shut-in. Since we are using Horner time, hour 1 in

real time represents:

( tp+dtdt ) … … … … … …
1+ tp 1+30
= =31 hrs
1 1
pr

Horner plot
P1hr
4600
∆t,MTR
4500

4400

4300

4200

4100

4000

3900

3800

3700
100000.00 10000.00 1000.00 100.00 10.00 1.00

Figure 5.3 Horner plot shows P 1hrs in green line, and pr in black

From fig 5.3 we read the pressure at Horner time of 31hrs. on the steady-state line, as

4440 psi, the initial reservoir pressure at (tp+∆t/∆t) =1 is 4520 psi. and we found the slope of the

steady state line per cycle.

4410−4465
m=
log 100−log10

m= - 55 psi/cycle

5.3 Permeability

We have calculated the slope of the steady state line per cycle as 55. So we will use it in

order to find the permeability from the equation below


162.6 quB
K= ………………
hm

Where

q: oil production rate.

B: oil formation factor.

u: oil viscosity.

h: bed thickness.

162.6∗3388.3∗0.139∗1.8081
K= =90 md
28∗|55|

5.4 Skin pressure drop due to skin

Skin pressure drop is one of the most important parameter used in production

engineering. Higher pressure drop around the well bore due to mud filtrate, reduced

permeability, improve permeability, change of flow streamlines. The skin factor affects the shape

of the pressure buildup data. And any early time deviation from the straight line can be caused by

skin factor as well as by wellbore storage, as illustrated in fig 5.4. The deviation can be

significant for the large negative skins that occur in hydraulically fractured wells. The skin factor

value may be estimated from the buildup test data plus the flowing pressure immediately before

the buildup test.

5.4.1 Skin indicators

1. ∆Pskin>0, indicates an additional pressure drop due to wellbore damage.

2. ∆Pskin<0, indicates less pressure drop due to wellbore improvement


3. ∆Pskin =0, indicates no changes in the wellbore condition

Horner plot

4600

4500

4400

4300
Deviation due Deviation
to wellbore 4200
due to
Pws (psi)

storage and 4100


boundary
well damage effects
4000

3900

3800

3700
100000.00 10000.00 1000.00 100.00 10.00 1.00

tp+∆t/∆t (hrs)

Figure 5.4 Horner plot shows the deviation points


After finding the parameters we need to calculate skin factor, we start getting the skin effect
parameters (skin factor and pressure loss due to skin factor) by using the equations below:

S=1.151
( Pws , 1hr −Pwf
m
−log
k
(
∅∗μ∗Ct∗r w
2 ) )
+3.23 … … … … …

ct: Total compressibility.

rw: Well radius.

k: Permeability.

m: Slope of steady state line.

∅ : Formation porosity.
u: Oil viscosity.

Pws, 1 hr.: Shut in pressure after 1 hour of shut-in.

S=1.151
( 4440−3500
|55|
−log ( 90
0.16∗0.139∗14.90∗10−6∗0.32 )
+3.23
)
S = 6.9

In this case since the skin is (+) indicates an additional pressure drop due to wellbore damage

5.5 Pressure Drop

With an additional pressure drop across the altered zone of:

Δ P skin =0.87 |m| s

S= skin factor

|m| = absolute value of the slope in the Horner plot (psi /cycle).

ΔP skin = 0.87|55| * 6.9

∆Pskin =330.165 psi

5.6 Flow efficiency


pr −p wf −∆ p
FE= s

pr −p wf

4520−3500−330.165
FE=
4520−3500

FE= 0.67 = 67%


Flow efficiency means how efficient is the oil flowing through the formation. In our case

the FE is estimated to be 67% which means that the formation is producing 67% from its actual

production rate.

5.7 Area of wellbore:


2
π I.D
A wb= ×
4 144
2
π 3.5
A wb= ×
4 144

Awb = 0.066ft˄2

5.8 Wellbore effect storage:

we can find the wellbore effect by using the wellbore area that we found from the equation

before and plugging it in the equations below:

144 × A wb
c=
5.615 × ρo

144 ×0.066
c=
5.615 ×37.37

C= 0.045bbl/psi

5.9 Δ T for MTR region

So we need to find the point that the MTR region begins and we can get that by using the
equation below:

170000 × μ ×c ×e (0.14 × S )
ΔT=
K×h
170000 ×0.139 ×0.045 × e(0.14 ×0 )
ΔT=
160× 28

Δ T =0.23 hr

tp + Δt 30+0.23
ΔT =
Δt
¿
0.23
=131.4 hrs.

Δ T for MTR region=4345 hrs

5.10 Summary result

Pwf K(md) S ∆Pskin(psi) FE% Awb(ft˄2) C(bbl/psi) Pi(psi) Δ T , MTR (hr )

(psi)

3500 90 6.9 330.165 67 0.066 0.045 4520 4345

5.11 Conclusion

Buildup tests are performed by shutting down wells and allowing the pressure to build

up, by using Horner time, permeability, skin factor and reservoir pressure, and some other

information where determine. However, based on the well testing results this skin is positive

which means that we have a damage around the wellbore. To improve the well’s productivity or

injectivity we can use an acidizing. This way we know how our well is performing and well

perform in the next years.

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