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Sandy Chen*, L.R.Lines, J. Embleton, P.F. Daley, and L.F.Mayo

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Presentation on theme: "Sandy Chen*, L.R.Lines, J. Embleton, P.F. Daley, and L.F.Mayo"— Presentation transcript:

1 Sandy Chen*, L.R.Lines, J. Embleton, P.F. Daley, and L.F.Mayo
Cold production footprints of heavy oil on time-lapse seismology: Lloydminster field, Alberta Sandy Chen*, L.R.Lines, J. Embleton, P.F. Daley, and L.F.Mayo

2 Outline Mechanism of heavy oil cold production
Cold production geological models Geophysical response of a cold production reservoir Time-lapse seismic modeling of cold production drainage footprints

3 Mechanics of heavy oil cold production
- Non-thermal process - Oil and sand produced simultaneously

4 Production rates with and without sands
With sand Without sand Wormhole network growth Foamy oil drive (Sawatzky, 2002)

5 Wormhole network Wormhole growth pattern Depth about 500 – 700m
(Miller et al., 2001) Courtesy of KUDU Oil Well Pumps

6 Wormhole characteristics
10cm “wormhole” created in reservoir lab simulation (Tremblay et al. ARC,1998 SPE/DOE symposium & EAGE Symp., 1999)

7 Foamy oil characteristics
Single propagating wormhole in a sandstone (Dusseault,1994) Bubble wormhole pipe Foamy oil mechanism (D. Greenidge, Imperial Oil Resources)

8 Amplitude anomalies in drainage region
oil 9m3/d cum oil 9E6m3 cum gas 2E6m3 oil 9m3/d cum oil 12E6m3 cum gas 1E6m3 oil 10m3/d cum oil 14E6m3 cum gas 1E6m3 400m oil 7m3/d cum oil 23E6m3 cum gas 2E6m3 oil 8m3/d cum oil 14E6m3 cum gas 2E6m3 oil 5m3/d cum oil 8E6m3 cum gas 2E6m3 oil 10m3/d cum oil 24E6m3 cum gas 2E6m3 3D Seismic Amplitude Map in Lloydminster Filed after 9 years of production (Mayo,1996)

9 It is useful for engineers and geologists to know the size and distribution of drainage regions
Drainage footprint scenario for the cold production wells in a small southwest Saskatchewan heavy oil pool (Sawatzky, 2002)

10 Simplified drainage model (vertical wellbore)
Post-production reservoir state Oil, water & foamy oil initial reservoir state Oil & water wormholes 3D map view borehole Undisturbed region Drainage region Net Pay zone 2D cross-section

11 Pre-production reservoir model
Top McLaren Bottom McLaren Top Mannville =2.26g/cm3, Vp=2496m/s =2.37g/cm3, Vp=3227m/s =2.16g/cm3, Vp=2795m/s Production Fm =2.40g/cm3, Vp=3261m/s 2D synthetic seismogram of wormholes Well log in Lloydminster Field

12 Most likely net pay zones
Gamma Porosity Resistivity Two main net pays (red) in Mclaren reservoir sand. Upper sand, 5m net pay, lower sand 3m.

13 Post-production model with drainage region
Top McLaren Bottom McLaren =2.26g/cm3, Vp=2496m/s =2.37g/cm3, Vp=3227m/s =2.16g/cm3, Vp=2795m/s Production Fm =2.40g/cm3, Vp=3261m/s Top Mannville Drainage region with Vp=????, =???? Well ? Drainage regions 5m and 3m thick, and 200m and 300m long

14 Before production: oil & water
Recall that fluids state changes during production: Before production: oil & water After the start of production: Foamy oil with gas bubbles, oil & water

15 Assumptions of mixed fluid states
Application of average fluid mixture states between the harmonic fluid state and the ‘Patchy’ weighted fluid (Reuss average & Voigt model ) Harmonic, Reuss average, lower bound Patchy, Voigt average, upper bound Here, Kg, Ko, Kw are derived from the methods demonstrated by Batzle and Wang (1992)

16 Applications of Gassmann’s Equation
Ks=36Gpa The shear modulus is derived using dipole logs from Pikes Peak Area

17 In-situ reservoir parameters after 3-years of production
(Courtesy of Alberta Research Council) (assuming no change in porosity and water saturation)

18 Physical properties of the drainage area

19 Post-production model with drainage region
Top McLaren Bottom McLaren =2.26g/cm3, Vp=2496m/s =2.37g/cm3, Vp=3227m/s =2.16g/cm3, Vp=2795m/s Production Fm =2.40g/cm3, Vp=3261m/s Top Mannville Vp=2570m/s, =2.13g/cm3 Well

20 without drainage with drainage difference Zero-offset seismic sections frequency bandwidth 200Hz (reverse display)

21 Impact of frequency on vertical resolution of
seismic images of the drainage areas

22 Conclusions The presence of foamy oil is the key factor, resulting in amplitude anomalies. Time-lapse seismology can be a very useful tool for detecting cold production drainage patterns The limitation of seismic frequency determines the images of the drainage footprints

23 Future Work - Wormholes
Wormhole effects on reservoir rock, especially when large amounts of sands are produced. S-wave may be sensitive to the presence of wormholes

24 Acknowledgements COURSE Project CREWES Alberta Research Council
Dr. Ron Sawatzky

25 Backup slides

26 P-wave & S-wave Velocities v.s. Gas Saturation
P=3Mpa P=3Mpa Sg=0.1

27

28 Amplitude changes relative to bed thickness
fdom200Hz, 13m fdom100Hz, 26m Amp decrease (Widess,1973)


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