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	基于压缩感知的地震数据采集实践
其他题名	Seismic data acquisition based on compressive sensing
	吕公河 1; 邸志欣 2; 霍守东 3; 罗明秋 4; 丁建强 1; 石太昆 3; 舒国旭 3; 许建国 1
来源期刊	石油物探
ISSN	1000-1441
出版年	2018
卷号	57 期号:6 页码:831-841
中文摘要	介绍了基于压缩感知的非规则观测系统设计以及在中国西部沙漠地区实现的第一块基于压缩感知的地震数据采集。在进行压缩感知观测系统设计时采用贪心序贯算法,以逐点增加的方式确定检波点与炮点的位置并构建观测矩阵,按照观测矩阵与稀疏变换矩阵的不相关性来确定观测系统,然后利用确定的观测系统,基于探区的速度模型进行正演模拟,以验证观测系统的有效性,从而确定最终的观测系统。针对中国西部沙漠试验区的具体情况设计了块状非规则(随机)采样观测系统,纵横向检波点在一定约束条件下不均匀分布、激发点近于随机不规则分布。首次采用可控震源进行了数据采集,获得了1760炮的地震数据。通过数据重建,得到了4倍密度(7.5m7.5m的面元)数据体,偏移成像后的地震剖面品质比常规剖面(15m15m)明显提高。与规则高密度采集相比,此次基于压缩感知的地震数据采集虽然检波点、炮点大幅度减少,但重建后的高密度规则数据的偏移成像质量有了明显提高。该稀疏采集试验不仅为后续高密度数据重建研究提供了宝贵的实际资料和应用经验,而且对于东部复杂障碍区的地震数据采集也具有借鉴意义。采用节点仪器+压缩感知+可控震源的采集方式,将是一种最佳组合,会取得更高的效益和更好的效果。
英文摘要	The designing of an irregular geometry based on compressive sensing and its first application in the desert region of western China are discussed.The geometric design based on compressive sensing uses the greedy sequential algorithm to determine the position of the receiver point and shot point and construct an observation matrix via the point-by-point increased method.Then,the geometry is predetermined according to the irrelevance of the observation and the sparse transformation matrices.Thereafter,this predetermined geometry is used to perform forward modeling based on the velocity model to examine and confirm the final geometry in the working area.A blocky irregular(random)geometry was experimentally designed in the desert area of western China.The receiver points were unevenly distributed in two directions(in-line and cross-line)with certain constraints,the shot points were randomly distributed,and vibroseis was used to obtain 1760shot records in total.Through data reconstruction,a data cube was obtained which had a density(7.5m7.5mbin)four times the original data(15m15m),and the seismic migration profile was significantly improved compared with the conventional profile.Compared with the regular high-density acquisition,the number of receiver and shot points in compressive sensing based geometry,is greatly reduced,with significant improvement in the quality of the migration profile.This sparse acquisition experiment provides valuable practical information and experience for future high-density data reconstruction and is also very useful for seismic data acquisition in the eastern complex exploration area in China.TheNode instrument+ Compressive Sensing+ Vibroseisapproach is recommended to achieve better acquisition results with higher efficiencies.
中文关键词	压缩感知 ; 稀疏 ; 非规则采样 ; 观测系统 ; 数据重建 ; 贪心序贯算法 ; 高密度采集
英文关键词	compressive sensing sparse irregular sampling geometry data reconstruction greedy sequential algorithm high-density data acquisition
语种	中文
国家	中国
收录类别	CSCD
WOS类目	MINERALOGY
WOS研究方向	Mineralogy
CSCD记录号	CSCD:6381335
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/238232
作者单位	1.中国石油化工集团公司石油工程地球物理有限公司, 北京 100020, 中国; 2.中国石油化工集团公司石油工程地球物理有限公司胜利分公司, 东营, 山东 257086, 中国; 3.中国科学院地质与地球物理研究所, 北京 100029, 中国; 4.中石化休斯顿研究开发中心, 休斯顿, 77056
推荐引用方式 GB/T 7714	吕公河,邸志欣,霍守东,等. 基于压缩感知的地震数据采集实践[J],2018,57(6):831-841.
APA	吕公河.,邸志欣.,霍守东.,罗明秋.,丁建强.,...&许建国.(2018).基于压缩感知的地震数据采集实践.石油物探,57(6),831-841.
MLA	吕公河,et al."基于压缩感知的地震数据采集实践".石油物探 57.6(2018):831-841.