AUTHOR=Yan Hongyong , Yu Hui , Xu Teng 

TITLE=Concurrent estimation of seismic reflectivity and Q by using an optimal dictionary learning method

JOURNAL=Frontiers in Earth Science

VOLUME=11

YEAR=2023

URL=https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2023.1121956

DOI=10.3389/feart.2023.1121956

ISSN=2296-6463

ABSTRACT=<p>The seismic reflectivity and quality factor <italic>Q</italic> play an important role in seismic processing and interpretation, such as improving the resolution of seismic data and enhancing the reservoir identification. Most methods estimate seismic reflectivity and <italic>Q</italic> separately. However, the error of <italic>Q</italic> model has a negative impact on the reflectivity estimation and the interference of reflectivity makes <italic>Q</italic> estimates less reliable. In this paper, we propose a new method for concurrent estimation of seismic reflectivity and <italic>Q</italic> by using optimal dictionary learning. This new method first constructs a complete dictionary based on the non-stationary convolution model, then computes the reflectivity series under different dictionary matrices with the corresponding referencing <italic>Q</italic> values, and finally selects the optimal dictionary matrix by comprehensively analyzing the residual and reflectivity sparsity so as to obtain seismic reflectivity and <italic>Q</italic> simultaneously. The results of synthetic and real data examples test confirm the effectiveness of the proposed method. The proposed method provides accurate estimation of seismic reflectivity and <italic>Q</italic>, improves the vertical resolution without losing weak events and offers more accurate information concerning stratigraphic features in great details.</p>