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岳玉波1 张建磊1 张超阳1 史云燕2 熊彦荣3 孙鹏飞4

(1.东方地球物理公司物探技术研究中心, 河北涿州 072751)
(2.东方地球物理公司研究院处理中心, 河北涿州 072751)
(3.东方地球物理公司采集技术中心, 河北涿州 072751)
(4.河北工程大学地球科学与工程学院, 河北邯郸 056038)


【关键词】 共反射点;时变;数据映射;地震叠加成像;


【基金资助】 国家科技重大专项“新一代地球物理油气勘探软件系统”(2017ZX05018-001); 国家自然科学青年基金项目“地质数据作为变量的水平变密度联合反演模型”(41604069); 河北省教育厅青年基金项目(QN2017310);

Seismic Data Stacking Based on Time-varying Mapping

YUE Yubo1 ZHANG Jianlei1 ZHANG Chaoyang1 SHI Yunyan2 XIONG Yanrong3 SUN Pengfei4

(1.R&D Center BGP, CNPC, Zhuozhou, Hebei Province, China 072751)
(2.BGP Seismic Data Processing Center, Zhuozhou, Hebei Province, China 072751)
(3.BGP Acquisition Technology Center, Zhuozhou, Hebei Province, China 072751)
(4.School of Earth Science and Engineering, Hebei University of Engineering, Handan, Hebei Province, China 056038)

【Abstract】Due to the existence of large source-receiver elevation differences in ocean-bottom-node (OBN) and mountain data, conventional common-midpoint (CMP) stacking based on the assumption of horizontal land surface is no longer feasible. We propose common reflection point (CRP) stacking based on time-varying data mapping as an alternative. We use stacking velocity to calculate time-varying CRP sampling points in output sections. At each CRP sampling point, two-way time is calculated using a modified double-square-root formula for NMO correction. We can use this method to improve the stacking quality for OBN and mountain data, and we also can obtain accurate stacking velocity for subsequent processing. Model and field data tests show that CRP stacking based on time-varying data mapping is better than CMP stacking.

【Keywords】 common reflection point; time varying; data mapping; stacking;


【Funds】 National Science and Technology Major Project (2017ZX05018-001); Youth Program of National Natural Science Foundation of China (41604069); Youth Program of Hebei Education Department Foundation (QN2017310);

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This Article


CN: 13-1095/TE

Vol 55, No. 02, Pages 331-340+230

April 2020


Article Outline


  • 0 Introduction
  • 1 Methodology
  • 2 Tests of model and real data
  • 3 Conclusion
  • References