论文详情
“两宽一高”(宽方位、宽频带、高密度)地震采集技术在解决复杂构造成像、岩性勘探以及油气藏精细描述等方面具有明显的技术优势,然而其工业化应用还需解决复杂地表以及勘探成本等制约因素。基于压缩感知理论及非规则观测系统的最优化设计,有效降低了勘探成本;随后利用L0正则化和L1正则化混合迭代的方法求解0范数稀疏约束的优化问题,重建地震数据,实现在一定成本限制的条件下获取更高密度数据体的目的。TFT工区基于压缩感知的数据采集与重建,验证了方法的有效性,为“两宽一高”地震勘探采集技术的工业化应用提供了有效的思路。
The “wide azimuth,wide band and high density” acquisition technology has distinct advantages in imaging complicated structures,lithology exploration and fine reservoir description.However,its industrial application still needs to solve the issues related to complex surfaces and exploration costs.Based on compressive sensing theory,the exploration cost can be effectively reduced through the design of non-uniform geometry.We propose a mixed iterative algorithm by using L0 and L1 regularization,with a zero-norm sparsity constraint,to solve the optimization problem and reconstruct seismic data.It could help to obtain high density data under a certain cost limit.Application in a TFT exploration region proved the effectiveness of the method,thus providing an effective industrial application of the “wide azimuth,wide band and high density” acquisition technology.
国家自然科学基金面上项目(41574134)、中国科学院百人计划、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”、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)共同资助。