4D seismic data associated with the arcicle "Efficient big data assimilation through sparse representation: A 3D benchmark case study in seismic history matching",

The data are synthetic amplitude-versus-angle (AVA) data created for 4D seismic history matching study in the Brugge benchmark case study in the paper ““Efficient big data assimilation through sparse representation: A 3D benchmark case study in petroleum engineering,” to be published in PLOS ONE (previously presented in the ECMOR conference, 2016). The data files were created by MATLAB R2016a.

本数据集为合成振幅随角偏移距变化（Amplitude-versus-angle，AVA）数据，专为论文《通过稀疏表示实现高效大数据同化：石油工程中的3D基准案例研究》中的Brugge基准案例四维地震历史拟合（4D seismic history matching）研究而创建。该论文将发表于《公共科学图书馆·综合》（PLOS ONE），其早期版本曾于2016年欧洲油气数学建模（ECMOR）会议上展示。所有数据文件均通过MATLAB R2016a软件生成。