High-resolution recursive stacking using plane-wave construction

Regimbal, Kelly; Fomel, Sergey

doi:10.1190/segam2016-13843157.1

Cited by 2 publications

(2 citation statements)

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“…We realise that the non-zero-lag time-shift images recorded at the computing grid points may be shifted from some locations of the zero-lag time-shift image, and these locations may correspond to grid points on a fine grid mesh. This logic of improving resolution follows the techniques proposed previously for conventional normal moveout stacking (Stark 2013;Regimbal and Fomel 2016). We schematically illustrate this process in Fig Fig.…”

Section: Reverse-time Migration Interpolationmentioning

confidence: 92%

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Increasing resolution of reverse‐time migration using time‐shift gathers

Xue

Fomel

Sun

2018

Geophysical Prospecting

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Reverse‐time migration has become an industry standard for imaging in complex geological areas. We present an approach for increasing its imaging resolution by employing time‐shift gathers. The method consists of two steps: (i) migrating seismic data with the extended imaging condition to get time‐shift gathers and (ii) accumulating the information from time‐shift gathers after they are transformed to zero‐lag time‐shift by a post‐stack depth migration on a finer grid. The final image is generated on a grid, which is denser than that of the original image, thus improving the resolution of the migrated images. Our method is based on the observation that non‐zero‐lag time‐shift images recorded on the regular computing grid contain the information of zero‐lag time‐shift image on a denser grid, and such information can be continued to zero‐lag time‐shift and refocused at the correct locations on the denser grid. The extra computational cost of the proposed method amounts to the computational cost of zero‐offset migration and is almost negligible compared with the cost of pre‐stack shot‐record reverse‐time migration. Numerical tests on synthetic models demonstrate that the method can effectively improve reverse‐time migration resolution. It can also be regarded as an approach to improve the efficiency of reverse‐time migration by performing wavefield extrapolation on a coarse grid and by generating the final image on the desired fine grid.

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Section: Reverse-time Migration Interpolationmentioning

confidence: 92%

“…Then, the zero-lag alignment of all corrected time-shift images will allow us to stack them together to obtain a high-resolution image. This logic of improving resolution follows the techniques proposed previously for conventional normal moveout stacking (Stark 2013;Regimbal and Fomel 2016).…”

Section: Reverse-time Migration Interpolationmentioning

confidence: 99%