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<p>Anelastic migration can correctly restore the attenuated high-frequency components of seismic wave and correct dispersion, by which the enhancement of imaging resolution gained is most reliable compared with other methods. However, it is very difficult to build a macro <i>Q</i> model used for anelastic migration, especially when using the available reflected seismic data. I propose effective <i>Q</i>s to replace conventional <i>Q</i> model. This decouples the 3D large-scale, nonlinear inverse problem to build <i>Q</i> model into a series of small ones, which leads to efficient estimation of <i>Q</i>s (i.e., effective <i>Q</i>) at each imaging point one by one according to the local migrated result in the neighbor of the point. As results, the complexity to build <i>Q</i> model is much decreased and the challenge related to the interference effects of stacked thin layers when using reflected data is overcome. I present single effective <i>Q</i> based deabsorption prestack time migration and offset-related effective <i>Q</i> (with three parameters) based deabsorption prestack depth migration. Also, the method and its efficient numerical implementation to estimate the two kinds of effective <i>Q</i>s are given. A lot of practice applications, well log data comparisons, and horizontal well drilling effects demonstrate that the two kinds of effective <i>Q</i> based deabsorption migration schemes can significantly and reliably enhance resolution of seismic imaging, thus contributing to successfully identify thin reservoirs.</p>

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High-resolution imaging with deabsorption migration: An effective Q approach

  • 期刊论文

  • 发表日期：

    2025年12月9日

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  • Jianfeng Zhang

摘要

Anelastic migration can correctly restore the attenuated high-frequency components of seismic wave and correct dispersion, by which the enhancement of imaging resolution gained is most reliable compared with other methods. However, it is very difficult to build a macro Q model used for anelastic migration, especially when using the available reflected seismic data. I propose effective Qs to replace conventional Q model. This decouples the 3D large-scale, nonlinear inverse problem to build Q model into a series of small ones, which leads to efficient estimation of Qs (i.e., effective Q) at each imaging point one by one according to the local migrated result in the neighbor of the point. As results, the complexity to build Q model is much decreased and the challenge related to the interference effects of stacked thin layers when using reflected data is overcome. I present single effective Q based deabsorption prestack time migration and offset-related effective Q (with three parameters) based deabsorption prestack depth migration. Also, the method and its efficient numerical implementation to estimate the two kinds of effective Qs are given. A lot of practice applications, well log data comparisons, and horizontal well drilling effects demonstrate that the two kinds of effective Q based deabsorption migration schemes can significantly and reliably enhance resolution of seismic imaging, thus contributing to successfully identify thin reservoirs.