1887

Abstract

Summary

Pushing the limits of the seismic method to enable continuous reservoir monitoring requires a paradigm shift in depth imaging. The sought approach should allow generation of fast and accurate images to cope with the massive datasets acquired for such task. A crucial step for such imaging approach is the estimation of wavefields within the solid earth’s interior where no direct observations are available. Standard estimation based on seismic data recorded along an open boundary of surface receivers is generally insufficient to explain how energy propagates in the complex subsurface unless high-resolution seismic velocity models are available prior to imaging or otherwise they can’t accurately predict multiple scattered waves (multiples) in the subsurface. Practically, rigorous depth-oriented velocity estimation methods are used for the entire overburden to produce sufficiently accurate velocity models. In this abstract, we use the CFP technology for the first time to generate efficient and accurate 3D target-oriented seismic images from time-lapse field seismic datasets acquired in a CO2 injection project in Saudi Arabia. Applying the CFP-based target oriented imaging to time-lapse datasets revealed changes at the reservoir level, which is consistent with the CO2 injection history.

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/content/papers/10.3997/2214-4609.201700762
2017-06-12
2024-03-28
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References

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