| 深反射地震数据采集处理和解释技术现状与展望 |
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| 引用本文： | 刘家豪,严加永,王栩,陈淼,张文文,佘京瑾,姜昶旭.深反射地震数据采集处理和解释技术现状与展望[J].科学技术与工程,2023,23(3):885-904. |
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| 作者姓名： | 刘家豪 严加永 王栩 陈淼 张文文 佘京瑾 姜昶旭 |
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| 作者单位： | 中国地质科学院;中国地质大学 |
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| 基金项目： | 国家自然科学基金(92062108)；中国地质调查项目(DD20221643, DD20190012，DD20221656)； |
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| 摘 要： | 深反射地震是了解地球深部结构的关键技术之一，在深部探测领域得到了广泛应用，但由于深反射地震剖面长、穿越构造单元复杂等原因，资料品质较油气地震要低，为更准确的探测地下，需要针对深反射地震数据特点，改进去噪、叠加等处理技术以及解释等方法，以得到地壳精细结构。本文系统总结了当前深反射地震数据采集、处理以及解释的方法，结合实例对这些方法的优缺点进行了对比分析，认为将来深反射地震需要在观测系统的优化改进，人工智能在数据处理、解释等方面开展研究，提高深反射地震剖面的成像质量。
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| 关 键 词： | 深反射地震 采集技术 数据处理 数据解释 |
| 收稿时间： | 2022/3/30 0:00:00 |
| 修稿时间： | 2022/10/31 0:00:00 |
[ ]Current status and prospect of data acquisition and interpretation of deep reflection seismic data |
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| Liu Jiahao,Yan Jiayong,Wang Xu,Chen Miao,Zhang Wenwen,She Jingjin,Jiang Changxu.[ ]Current status and prospect of data acquisition and interpretation of deep reflection seismic data[J].Science Technology and Engineering,2023,23(3):885-904. |
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| Authors: | Liu Jiahao Yan Jiayong Wang Xu Chen Miao Zhang Wenwen She Jingjin Jiang Changxu |
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| Affiliation: | Chinese Academy of Geological Sciences;China University of Geosciences |
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| Abstract: | Deep reflection seismic is one of the key technology to understand the deep structure of the earth, has been widely used in the field of deep detection, but due to the deep reflection seismic profile long, through the tectonic unit, data quality is lower than oil and gas earthquake, for more accurate detection underground, need for according to deep reflection seismic data characteristics, improve denoising, stack and interpretation methods, to get crust fine structure.This paper systematically summarizes the current methods of deep reflection seismic data acquisition, processing and interpretation, combined with a comparative analysis of the advantages and disadvantages of these methods, that the future deep reflection seismic needs to be optimized and improved in the observation system, Artificial intelligence conducts research in data processing and interpretation to improve the imaging quality of deep reflection seismic profiles. |
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| Keywords: | deep reflection seismic Acquisition technology Data processing Data interpretation |
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