Inversion for marine seismic imaging of a full reflected wavefield

    公开(公告)号:US10996362B2

    公开(公告)日:2021-05-04

    申请号:US16281812

    申请日:2019-02-21

    Abstract: Inversion for marine seismic imaging of a full reflected wavefield can include generating an image of a subsurface formation by full wavefield migrating a recorded seismic wavefield and generating numerically modeled data using the image. A mismatch between the numerically modeled data and the seismic wavefield can be determined. Responsive to determining that the mismatch exceeds an inversion match threshold, the image can be updated using the mismatch between the numerically modeled data and the seismic wavefield.

    Inversion for Marine Seismic Imaging of a Full Reflected Wavefield

    公开(公告)号:US20190257967A1

    公开(公告)日:2019-08-22

    申请号:US16281812

    申请日:2019-02-21

    Abstract: Inversion for marine seismic imaging of a full reflected wavefield can include generating an image of a subsurface formation by full wavefield migrating a recorded seismic wavefield and generating numerically modeled data using the image. A mismatch between the numerically modeled data and the seismic wavefield can be determined. Responsive to determining that the mismatch exceeds an inversion match threshold, the image can be updated using the mismatch between the numerically modeled data and the seismic wavefield.

    Processes and systems for generating a high-resolution velocity model of a subterranean formation using iterative full-waveform inversion

    公开(公告)号:US11428834B2

    公开(公告)日:2022-08-30

    申请号:US16221128

    申请日:2018-12-14

    Abstract: This disclosure describes processes and systems for generating a high-resolution velocity model of a subterranean formation from recorded seismic data gathers obtained in a marine seismic survey of the subterranean formation. A velocity model is computed by iterative FWI using reflections, resolving the velocity field of deep subterranean targets without requiring ultralong offsets. The processes and systems use of an impedance sensitivity kernel to characterize reflections in a modeled wavefield, and then use the reflections to compute a velocity sensitivity kernel that is used to produce low-wavenumber updates to the velocity model. The iterative process is applied in a cascade such that position of reflectors and background velocity are simultaneously updated. Once the low-wavenumber components of the velocity model are updated, the velocity model is used as an input of conventional FWI to introduce missing velocity components (i.e., high-wavenumber) to increase the resolution of the velocity model.

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