A simulation-free seismic survey design by maximizing the spectral gap

TitleA simulation-free seismic survey design by maximizing the spectral gap
Publication TypeConference
Year of Publication2022
AuthorsYijun Zhang, Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rajiv Kumar, Felix J. Herrmann
Conference NameInternational Meeting for Applied Geoscience and Energy Expanded Abstracts
KeywordsAcquisition, matrix factorization, SEG, spectral gap, survey design, wavefield reconstruction

Due to the tremendous cost of seismic data acquisition, methods have been developed to reduce the amount of data acquired by designing optimal missing trace reconstruction algorithms. These technologies are designed to record as little data as possible in the field, while providing accurate wavefield reconstruction in the areas of the survey that are not recorded. This is achieved by designing randomized subsampling masks that allow for accurate wavefield reconstruction via matrix completion methods. Motivated by these recent results, we propose a simulation-free seismic survey design that aims at improving the quality of a given randomized subsampling using a simulated annealing algorithm that iteratively increases the spectral gap of the subsampling mask, a property recently linked to the quality of the reconstruction. We demonstrate that our proposed method improves the data reconstruction quality for a fixed subsampling rate on a realistic synthetic dataset.


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Citation Keyzhang2022SEGass