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The concept of seismic anisotropy is applied extensively in seismic modeling, imaging and inversion. Alignment of mineral grains, clay platelets, layering, and fractures all contribute to the observed anisotropy in the subsurface. Common problems caused by ignoring anisotropy in seismic imaging include mis-tie in time-to-depth conversion, failure to preserve dipping energy during dip-moveout (DMO) correction, and mispositioning of migrated dipping events. Proper treatment of anisotropy during the processing of seismic data not only helps to avoid distortions in reservoir imaging but also provides estimates of the anisotropy parameters, which carry valuable information about lithology and fracture networks. To consider the influences of seismic anisotropy in imaging, an anisotropic wave equation needs to be employed. Depending on the type of anisotropic model, various wave equations are introduced, which can be used for both seismic modeling and imaging. In this article, developed algorithms for employing the anisotropy effect in seismic modeling and imaging are presented with emphasizing on acoustic approximations.