Reconstruction of S-waves from low-cost randomized acquisition

TitleReconstruction of S-waves from low-cost randomized acquisition
Publication TypePresentation
Year of Publication2017
AuthorsAli M. Alfaraj, Rajiv Kumar, Felix J. Herrmann
KeywordsPresentation, SINBAD, SINBADFALL2017, SLIM

Due to the lower shear wave velocity compared with compressional waves, finer spatial sampling is required to properly record the earlier according to the Nyquist sampling criterion. To avoid higher acquisition costs and to utilize the multicomponent data to its available full extent, we propose acquiring randomly undersampled ocean bottom seismic data. We present two up- and down-going shear wave reconstruction methods: (i) rank minimization reconstruction followed by elastic wavefield decomposition, and (ii) sparsity promoting joint interpolation decomposition using all the multicomponent data in one optimization problem.

Citation Keyalfaraj2017SINBADFros