Effective ellipsoidal models for wavefield extrapolation in tilted orthorhombic media

Effective ellipsoidal models for wavefield extrapolation in tilted orthorhombic media

Umair bin Waheed and Tariq Alkhalifah, "Effective ellipsoidal models for wavefield extrapolation in tilted orthorhombic media", Studia Geophysica et Geodaetica 60 (2016): 349–369​.​ doi:10.1007/s11200-015-1151-z
BibTex​ 
Umair bin Waheed, Tariq Alkhalifah
wave propagation, seismic anisotropy, acoustic properties, non-linear differential equations
2016
​Wavefield computations using the ellipsoidally anisotropic extrapolation operator offer significant cost reduction compared to that for the orthorhombic case, especially when the symmetry planes are tilted and/or rotated. However, ellipsoidal anisotropy does not provide accurate wavefield representation or imaging for media of orthorhombic symmetry. Therefore, we propose the use of ‘effective ellipsoidally anisotropic’ models that correctly capture the kinematic behaviour of wavefields for tilted orthorhombic (TOR) media. We compute effective velocities for the ellipsoidally anisotropic medium using kinematic high-frequency representation of the TOR wavefield, obtained by solving the TOR eikonal equation. The effective model allows us to use the cheaper ellipsoidally anisotropic wave extrapolation operators. Although the effective models are obtained by kinematic matching using high-frequency asymptotic, the resulting wavefield contains most of the critical wavefield components, including frequency dependency and caustics, if present, with reasonable accuracy. The proposed methodology offers a much better cost versus accuracy trade-off for wavefield computations in TOR media, particularly for media of low to moderate anisotropic strength. Furthermore, the computed wavefield solution is free from shear-wave artefacts as opposed to the conventional finite-difference based TOR wave extrapolation scheme. We demonstrate applicability and usefulness of our formulation through numerical tests on synthetic TOR models.
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