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Acoustic Well Soundingfor Windows
Acoustic Well Soundingfor Windows
SiriusPetroleum Software
SiriusPetroleum Software
AWS
AWS uses acoustic well sounding data and fluid levels, to calculate the pressure at midpoint of
perforations of oil wells. The program calculates the gas and fluid column pressures separately, and adds or subtracts these, to determine the
pressure at MPP. Several different methods are available to calculate the gas column pressure.
The results can be plotted, checked and reported on a well, group, pool or total basis.
AWS, Sirius Petroleum Software 3
AWSAgenda
• Well data
• Pool data
• Fluid analysis data
• Special Features, System Options, Methods and Correlations
• Output Reports and Graphs
• Demo
• Questions
AWS, Sirius Petroleum Software 4
Well Data
• Wells are defined with a pool, group and a lease.
• Basic Data: Well name, UWI, group and lease.
• Elevations: KB, CF, Perforations, Tubing, and Casing.
• Fluid shots: Type of test, date, casing / tubing pressure, watercut and fluid level.
AWS, Sirius Petroleum Software 5
Well Data
AWS, Sirius Petroleum Software 6
Test Table
AWS, Sirius Petroleum Software 7
Test Data
AWS, Sirius Petroleum Software 8
Fluid Level Diagram
AWS, Sirius Petroleum Software 9
Pool Data
• Basic Data: Pool name, Field name, and fluid analysis name.
• Reservoir Data: Datum, G/O contact, O/W contact and formation temperature.
AWS, Sirius Petroleum Software 10
Pool Data
AWS, Sirius Petroleum Software 11
Fluid Analysis Data
• Oil properties.
• Water properties.
• Full Gas Analysis: 12 Component gas analysis including N2, CO2 and H2S, C7
+ properties (Molecular Weight, Specific Gravity)
• Simple Gas Analysis: 3 non-HC including N2, CO2, and H2S, and a total gas specific gravity.
AWS, Sirius Petroleum Software 12
Fluid Analysis
AWS, Sirius Petroleum Software 13
Simple Gas Analysis
AWS, Sirius Petroleum Software 14
AWSSpecial Features
• Gas PVT correlations
– Gas gravity correlation (Thomas, Hankinson and Philips, 1970)
– Sour gas correction (Wichert and Aziz, 1972)
– z-factor correlation (Biggs and Brill, 1987)
AWS, Sirius Petroleum Software 15
AWSSpecial Features, cont.
• Fluid Levels– enter fluid level
– enter # of joints
– enter echo return time (sec)
• Gas Column
– Average Density Method (1972)
– Average z-factor average temperature Method
– Cullender and Smith (1959)
AWS, Sirius Petroleum Software 16
AWSSpecial Features, cont.
• Results
– Calculates gas, water, oil and mixed columns
– Calculates MPP pressure
– Calculates tubing fluid level based on casing fluid level
• Limitations
– 99 wells, 10 pools, 10 groups, 25 leases and 10 companies
– 20 different fluid tests per well
AWS, Sirius Petroleum Software 17
System Options
AWS, Sirius Petroleum Software 18
Correlations
AWS, Sirius Petroleum Software 19
Solution Options
AWS, Sirius Petroleum Software 20
Output, Reports and Graphs
• Numerous reports– well, pool, group, lease, company, etc.
• Numerous graphs– well, pool, group, lease, company, etc.
• Map– well results.
AWS, Sirius Petroleum Software 21
Reports
AWS, Sirius Petroleum Software 22
Reports
AWS, Sirius Petroleum Software 23
Reports
AWS, Sirius Petroleum Software 24
Reports
AWS, Sirius Petroleum Software 25
Graphs
AWS, Sirius Petroleum Software 26
Gas AnalysisDeepdown
Simple Gas Analysis
Mo
le fr
act
ion
Components
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
0.50
0.55
0.60
0.65
0.70
0.75
0.80
0.85
0.90
0.95
1.00
N2 C02 H2S Hydrocarbons
AWS, Sirius Petroleum Software 27
Temperature GradientExample #1 Well
Well Temperature Gradient
De
pth
(m
-CF
)
Temperature (°C)
-100
-200
-300
-400
-500
-600
-700
-800
-900
-1000
-1100
-1200
-1300
-1400
-1500
0
0 5 10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
10
0
AWS, Sirius Petroleum Software 28
Pressure GradientExample #1 Well
Well Casing Pressure Gradient
De
pth
(m
-CF
)
Pressure (kPaa)
-100
-200
-300
-400
-500
-600
-700
-800
-900
-1000
-1100
-1200
-1300
-1400
-1500
0
0 50
0
10
00
15
00
20
00
25
00
AWS, Sirius Petroleum Software 29
Well Results Map