Modelling of 4D Seismic Data for the Monitoring of Steam Chamber Growth During the SAGD Process
- Olivier O. Lerat (IFP) | Florence Adjemian (IFP) | Axelle Baroni (IFP) | G. Etienne (IFP) | Gerard Renard (IFP) | Eric Bathellier (CGGVeritas) | Eric Forgues (CGGVeritas) | Francois Aubin (CGGVeritas) | Tristan Euzen (IFP Technologies)
- Document ID
- Society of Petroleum Engineers
- Journal of Canadian Petroleum Technology
- Publication Date
- June 2010
- Document Type
- Journal Paper
- 21 - 30
- 2010. Society of Petroleum Engineers
- 5.1.3 Sedimentology, 5.8.7 Carbonate Reservoir, 1.2.3 Rock properties, 5.8.5 Oil Sand, Oil Shale, Bitumen, 1.2.2 Geomechanics, 5.1.5 Geologic Modeling, 5.6.1 Open hole/cased hole log analysis, 5.5.8 History Matching, 5.1.1 Exploration, Development, Structural Geology, 6.1.5 Human Resources, Competence and Training, 5.5 Reservoir Simulation, 5.1.9 Four Dimensional and Four Component Seismic, 4.3.4 Scale, 1.6.9 Coring, Fishing, 2.4.3 Sand/Solids Control, 5.3.4 Integration of geomechanics in models, 1.10.1 Drill string components and drilling tools (tubulars, jars, subs, stabilisers, reamers, etc), 5.3.9 Steam Assisted Gravity Drainage, 5.1 Reservoir Characterisation, 5.4.6 Thermal Methods, 5.1.9 Four-Dimensional and Four-Component Seismic, 5.2.1 Phase Behavior and PVT Measurements, 5.1.8 Seismic Modelling
- 4D seismic, SAGD, steam chamber growth
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This paper presents an integrated workflow for the interpretation of 4D seismic data to monitor steam chamber growth during the steam-assisted gravity drainage recovery process (SAGD). Superimposed on reservoir heterogeneities of geological origin, many factors interact during thermal production of heavy oil and bitumen reservoirs, which complicate the interpretation of 4D seismic data: changes in oil viscosity, fluid saturations, pore pressure, and so on.
The workflow is based on the generation of a geological model inspired by a real field case of the McMurray formation in the Athabasca region. The approach consists of three steps: the construction of an initial static model, the simulation of thermal production of heavy oil with two coupled fluid-flow and geomechanical models and the production of synthetic seismic maps at different stages of steam injection.
The distribution of geological facies is simulated on a fine grid using a geostatistical approach, which honours all available well data. The reservoir's geomechanical and elastic properties are characterized by logs and literature at an initial stage before the start of production. Production scenarios are run to obtain pore pressure, temperature, steam and oil saturations on a detailed reservoir grid around a well pair at several stages of production. Direct coupling with a geomechanical model produces volumetric strain and mean effective stress maps as additional properties. These physical parameters are used to compute new seismic velocities and density for each stage of production according to Hertz and Gassmann formulas. Reflectivity is then computed, and a new synthetic seismic image of the reservoir is generated for each stage of production.
The impacts of heterogeneities, production conditions and reservoir properties are evaluated for several simulation scenarios from the beginning of steam injection to 3 years of production. Results show that short-term seismic monitoring can help in anticipating early changes in steam injection strategy. In return, long-term periods allow the behaviour of the steam chamber to be monitored laterally and in the upper part of the reservoir. This study demonstrates the added value of 4D seismic data in the context of steam-assisted heavy oil production.
|File Size||6 MB||Number of Pages||10|
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