| 等旅行时面共反射面元叠加的应用研究 |
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| 引用本文： | 张金淼,陈宝书,汪小将,刘军荣,杨小椿,杨锴. 等旅行时面共反射面元叠加的应用研究[J]. 石油地球物理勘探, 2011, 0(6) |
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| 作者姓名： | 张金淼 陈宝书 汪小将 刘军荣 杨小椿 杨锴 |
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| 作者单位： | 中海石油研究中心;同济大学海洋地质国家重点实验室; |
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| 基金项目： | 国家科技重大专项(2008ZX05025-001); 国家自然科学基金面上项目(40874063) |
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| 摘 要： | 本文基于克希霍夫成像理论,对共反射面元(CRS)叠加方法进行了深入分析,阐述了等旅行时面共反射面元叠加方法(CRS-OIS)原理及其测试效果。指出CRS-OIS是对于传统共反射面元叠加方法的重要改进,它简化了传统CRS叠加方法,可以同时得到信噪比大幅度提高的叠前道集与零炮检距成像剖面。该方法首次被用于南海深水二维地震数据处理,处理结果表明基底与莫霍面的成像品质得到明显改善,提高了剖面的可解释性。
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| 关 键 词： | 共反射面元(CRS)叠加 输出道成像方式 克希霍夫统一成像理论 南海深水数据 |
Application of 2D CRS-OIS to 2D real data acquired in deep water of South China Sea |
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| Zhang Jin-miao,Chen Bao-shu,Wang Xiao-jiang,Liu Jun-rong,Yang Xiao-chun , Yang Kai..CNOOC Research Institute,Beijing ,China.State Key Laboratory of Marine Geology School of Marine , Earth Science,Tongji University,Shanghai ,China. Application of 2D CRS-OIS to 2D real data acquired in deep water of South China Sea[J]. Oil Geophysical Prospecting, 2011, 0(6) |
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| Authors: | Zhang Jin-miao Chen Bao-shu Wang Xiao-jiang Liu Jun-rong Yang Xiao-chun Yang Kai..CNOOC Research Institute Beijing China.State Key Laboratory of Marine Geology School of Marine & Earth Science Tongji University Shanghai China |
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| Affiliation: | Zhang Jin-miao1,Chen Bao-shu1,Wang Xiao-jiang1,Liu Jun-rong1,Yang Xiao-chun1 and Yang Kai2.1.CNOOC Research Institute,Beijing 100027,China2.State Key Laboratory of Marine Geology School of Marine & Earth Science,Tongji University,Shanghai 200092,China |
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| Abstract: | A detail analysis on common-reflection-surface(CRS) stack method is performed based on a unified Kirchhoff imaging theory from which an output imaging scheme(CRS-OIS) is derived.The CRS-OIS greatly simplify the implementation of traditional CRS stack from which both an enhanced prestack dataset and enhanced ZO image can be achieved.Thus,it can be seen as a significant improvement on CRS stack method.In this paper,the CRS-OIS is applied to the real data acquired in South China Sea for the first time.The gene... |
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| Keywords: | CRS stack output imaging scheme unified Kirchhoff imaging approach seismic data acquired in deep water South China Sea |
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