AMO inversion to a common azimuth dataset

Reflection Full Waveform Inversion for a Wide- azimuth Dataset in the Gulf of Mexico

Azimuth moveout: the operator parameterization and antialiasing

A practical implementation of azimuth moveout (AMO) must be both computationally efficient and accurate. We achieve computational efficiency by parameterizing the AMO operator with the help of a transformed midpoint coordinate system. To achieve accuracy, the AMO operator needs to be carefully designed for antialiasing. We propose a modified version of Hale’s antialiasing algorithm, which switc...

Data regularization: inversion with azimuth move-out

Data regularization is cast as a least-squares inversion problem. The model space is a five-dimensional (t,cmpx, cmpy, hx, hy) hypercube. The regularization minimizes the difference between various (t, cmpx, cmpy) cubes by applying a filter that acts in (hx,hy) plane. Azimuth Move-out is used transform the cubes to the same ( hx,hy) before applying the filter. The methodology is made efficient ...

DMO/AMO in the presence of caustics

Dip moveout (DMO) and azimuth moveout (AMO) are considered in a general framework that allows for lateral variations in the velocity model, including those which generate caustics in the wavefield. DMO and AMO are constructed through the composition of operators, using the scattering angle and azimuth parameterization. In this parameterization, impulse responses are computed in a gaussian gas l...

3-D wave-equation imaging of a North Sea dataset: common-azimuth migration + residual migration

3-D prestack common-azimuth depth migration (CAM) has strong potential for accurately imaging complex media and correctly handling multi-pathing. Here, we apply the technique to a North Sea dataset recorded over a salt dome region. The results obtained demonstrate the suitability of the method for complex media, and illustrate important differences with Kirchhoff methods. A detailed analysis of...