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Compressive sensing aided seismic geometry design for offshore acquisition

Huang Xiaogang, Zhang Jinmiao, Du Xiangdong, Zhu Zhenyu, Li Weixin, Zhang Yiming, Ding Jicai, Liu Zhipeng, Zhang Jianfeng

Acta Geophysica

2022

Vol. 70, no 2

547--562

Seismic acquisition guided by the compressive sensing theory can significantly improve seismic data acquisition efficiency and reduce the cost. After reviewing the basic principles of compressive sensing, we propose an optimized random sampling method that can control the maximum sampling interval and improve the design flexibility. We analyze several factors that can introduce reconstruction errors from compressive sensed data and learn that besides sampling method, reconstruction errors increase with decimation degree and the complexity of structures and also depend on the reconstruction workflow. In addition, we provide a basic workflow of the geometry design of compressive sensing acquisition. We analyze the feasibility of the three types of receiving equipment that are widely used in marine environment and discuss the potential cost reduction and efficiency gain. Our field example demonstrates the detailed working process and the feasibility of the combination of random sailing line intervals and random shot intervals and verifies the effect of cost saving and efficiency increasing.