Geoconvention 2011 by Kelli Meyer

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Osum Oil Sands Corp | Using a Seismically-Derived Density Volume and Facies Characterization to Optimize Thermal Well Trajectories in the Clearwater Formation, Alberta Kelli Meyer* Osum Oil Sands Corp. Robert McGrory TerraWRX Exploration Consultants Ltd. Shawna Christensen Throndson Energy Ltd.

description

Using a seismically-derived density volume and facies characteristics to optimize the thermal well trajectories in the clearwater formation, Alberta. By Kelli Meyer of Osum Oil Sands, Robert McGrory of TerraWRX Exploration Consultants Ltd. and Shawna Christensen of Throndson Energy Ltd.

Transcript of Geoconvention 2011 by Kelli Meyer

Page 1: Geoconvention 2011 by Kelli Meyer

Osum Oil Sands Corp |

Using a Seismically-Derived Density Volume and Facies Characterization to Optimize Thermal Well Trajectories in the Clearwater Formation, Alberta

Kelli Meyer*Osum Oil Sands Corp.

Robert McGroryTerraWRX Exploration Consultants Ltd.

Shawna ChristensenThrondson Energy Ltd.

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Intro Map

• Cold Lake Oil Sands• Clearwater and

Grand Rapids

Reservoirs• Planned SAGD and

horizontal CSS

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Importance of Well Placement

Thermal Net Pay

>27% porosity>10 ohm.m

•Taiga Clearwater net pay averages 12m and is laterally continuous

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Importance of Well Placement

•Taiga Clearwater net pay averages 12m and is laterally continuous

•Well placement at the base of the reservoir maximizes producible pay

6.4 kmWest East

M2S2

S1

M1

S3

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Importance of Well Placement

•Taiga Clearwater net pay averages 12m and is laterally continuous

•Well placement at the base of the reservoir maximizes producible pay

•Accurate mapping of the base of the reservoir using seismic, core and logs is key to optimal well placement

IntegratedModel

IntegratedModel

SeismicInversion

SeismicInversion

Rock Physics

Rock Physics

3D GeologicModel

3D GeologicModel

Velocity Model

Velocity Model

SeismicHorizons

SeismicHorizons

StratigraphicModel

StratigraphicModel

Facies Model

Facies Model

LogsCore DataGrain Size

LogsCore DataGrain Size

SAGD WellTrajectories

SAGD WellTrajectories

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Dataset

• 60 delineation wells-logged and cored-5 wells FMI-6 wells dipole sonic-viscosity measurements-grain sizes, XRD, SEM

• 32.5km2 3D seismic• 5 - 2D seismic lines

• Model software: -Petrel TM

-Hampson-Russell TM

• Facies analysis, 3D geological model, reservoir simulations and seismic inversion

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Reservoir Summary

Phase 1 SAGD Pads

Additional SAGD Pads

CSS Pads

S1 Gas Cap

Basal Water

M1 > 1m

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Clearwater Shale

regional caprock

Clearwater Sand 1

upper sand

Clearwater Mud 1

bioturbated mudstone

Clearwater Sand 2

lower sand

cemented nodule

Clearwater Mud 2

Interlaminated sands and muds

Lost core

Net

Pay

(12

m)

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F2b

Facies

F2b

F1 (Shoreface): Vf-f ss, homogeneous, hz-low angle parallel lams, low bioturbation = RESERVOIR

F3a (Distal Delta Front): 50% vf-f sandstone and 50% sandy medium gray mudstone interbeds, moderate bioturbation = M2

Cemented

F2b (Distal Delta Front): Ss,with 10-50% mudstone, hz parallel lams, low-mod. bioturbation = RESERVOIR

F4a (Distal Pro-Delta): med. gray mudstone intermixed with 50% vf ss, extensive bioturbation = M1

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Seismic Integration

Hz

Porosity

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Well Synthetic Tie: example 2-5-66-1 W4M

CC > 70%CC > 70%

Near Angle StackNear Angle StackSyntheticSyntheticSonicSonicDensityDensityGamma RayGamma Ray

Zone of InterestZone of Interest

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Velocity Modelfor tying wells and surfaces

Velocity model converts horizons and inverted

models from time to depth

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Pre-stack Seismic Inversion

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Seismic Inversion Results

CW ShaleCWS1

CWS2

CWM2

CWM1

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Inversion Error QC

Excellent correlationTesting control logs against inverted volume

GeologicModel

GeophysicalModel

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West East06-26-65-02W4

VE=10x

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VE=10x 3D Petrel model of 120 Lower Grand Rapids and Clearwater well trajectories with seismic and inverted density volumes

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Conclusions

• Seismic inversion helps visualize basal nodules and middle mudstones

• The fully integrated model allows;-predictable reservoir facies-minimization of stranded pay zones-optimized placement of SAGD wellbores

• The fully integrated model allows rapid updating and adaptability as new wells are drilled and 4D seismic is acquired

• This result will provide input to modelling steam chamber growth• Planning of infill wells• Further work on fluid contacts and placement of Lower Grand

Rapids wells above basal water

Future Applications

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Acknowledgements

• Ken Gray,Senior Staff Geophysicist

• Jen Russel-Houston,

Manager, Geosciences

• Elizabeth Earl

• Hartmut Janssen & Peter Carey

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Stratigraphy

Clearwater Shale

Lower Grand Rapids Shoreface

Stacked Clearwater Shorefaces

Lower Grand Rapids

Channel Fill

Lower Grand Rapids Lateral Accretion

Very Fine to Fine Sand

Fine to Medium Sand

Intermixed Sand, Silt and Shale – Non Reservoir

Shale

The Clearwater Formation is laterally continuous across the Taiga field

West East

S3S2S1