论文详情
提出了基于压缩感知的非规则观测系统优化设计和地震数据重建方法。基于贪心序贯策略,利用逐个选取采样点位置的方法来降低感知矩阵的最大互相关值,从而完成非规则观测系统的优化;利用L0正则化和L1正则化混合迭代的方法求解欠定采样矩阵,重建地震记录,获得良好的效果。进行了TFT工区实际观测系统的设计,鉴于接收电缆长度的限制,添加最大道间距和最小道间距作为观测系统设计过程中的约束,得到了符合实际勘探要求的非规则观测系统的优化设计。该方法为三维高密度地震勘探的大规模开展提供了有效的方案。
This paper proposes a method of irregular seismic geometry optimal design and data reconstruction based on compressive sensing.To optimize the irregular geometry design in seismic data acquisition,the method selects sampling points one by one according to a greedy sequential strategy,which could decrease the maximum cross-correlation value of the sensing matrix.To reconstruct seismic data effectively,the method solves the underdetermined sampling matrix through an L0 and L1 regularization mixed iterative algorithm.When applied to the irregular seismic geometry design in the TFT exploration area,the method uses the maximum and the minimum group intervals as constraints to overcome the limitation of the receiver cable length.The results show that the proposed method provides an effective way for the development of high-density 3D seismic exploration.
中国石油化工股份有限公司科技攻关项目“基于压缩感知的地震勘探采集技术研究”及中石化石油工程技术服务有限公司科技项目“压缩感知技术在地震勘探中的应用研究”(SG16-52K)联合资助。