||Estimation of Q from surface-seismic reflection data in data space and image space ||
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Estimation of Q from surface-seismic reflection data in data space and image space
Estimating seismic attenuation, or Q, is crucial for imaging applications, reservoir characterization and seismic acquisition design. A new method for Q estimation uses central frequency shift to analyze Q versus offset or angle in both the data space and image space. Q migration and Q compensation are also presented here for the image-based Q estimation. Applying this new approach to a 2D synthetic model demonstrate that both data-based and image-based methods are able to accurately estimate Q for a model with flat reflectors and homogeneous medium.