Compressive sensing aided seismic geometry design for offshore acquisition
Authors:Huang, Xiaogang Zhang, Jinmiao Du, Xiangdong Zhu, Zhenyu Li, Weixin Zhang, Yiming Ding, Jicai Liu, Zhipeng Zhang, Jianfeng
Volume:70
DOI:10.1007/s11600-022-00748-0
Published:2022
Document Type:Article
Abstract: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.
Author Information
Corresponding Author:Huang, XG (通讯作者)，CNOOC Res Inst Ltd, Beijing 100028, Peoples R China.
Reprint Address:Huang, XG (通讯作者)，CNOOC Res Inst Ltd, Beijing 100028, Peoples R China.
Addresses:[Huang, Xiaogang; Zhang, Jinmiao; Du, Xiangdong; Zhu, Zhenyu; Li, Weixin; Zhang, Yiming; Ding, Jicai; Liu, Zhipeng] CNOOC Res Inst Ltd, Beijing 100028, Peoples R China; [Zhang, Jianfeng] CNOOC China Ltd, Tianjin Branch, Tianjin 300450, Peoples R China
E-mail Addresses:hxg075-2005@163.com