In Steam-Assisted Gravity Drainage (SAGD) fields, monitoring steam chamber development is important for identifying produced and bypassed pay, and optimizing production performance. In this study, we use the Jackfish-1 SAGD field to demonstrate how to integrate time-lapse multi-component seismic, well logs and production data to detect steam chamber development. The workflow involves five steps: 1) Forward modeling to link the pressure, saturation and temperature changes caused by production to seismic elastic responses, 2) 4D calibration to ensure the 4D inversion reflects production-related amplitude anomalies, 3) PS-PP registration to register PS data in PP time, 4) Time-lapse PP-PS joint inversion to provide Vp, Vs, and density estimations for monitor, baseline and their associated difference volumes in three dimensions, 5) Mapping steam chamber and predicting future production. The developed steam chamber, which was estimated using increases in Vp/Vs ratio and decreases in P-impedance, shows a good match with observation wells and cumulative oil produced. Mobile bitumen, implying future production, was delineated via a S-impedance decrease and Vp/Vs ratio increase due to the shear velocity reduction during a phase change from a quasi-solid to liquid. Finally, we integrate results from 3D baseline facies & fluids classification and 4D studies to determine future potential, to identify bypassed pay, and serve as a guide for optimizing production performance in the future.
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