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Data-driven Interpolation of Multicomponent Data by Directionality Tensors
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 77th EAGE Conference and Exhibition 2015, Jun 2015, Volume 2015, p.1 - 5
Abstract
Summary
We focus on the problem of interpolating towed streamer data where multicomponent measurements exist and where the crossline direction is sparsely measured. We propose to use an assumption of few crossing events as a regularization constraint for the interpolation, which is formulated using structure tensors. Under this condition, we can obtain slowly varying directions along which the pressure data can be treated as constant. This condition is used to derive a partial differential equation for performing pressure data interpolation. The proposed method is entirely data-driven (it does not use any assumptions about the sea surface, the water velocity, or earth model).
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