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海量地震数据处理方案与技术发展趋势

李 虹 蔡希玲 王学军 郭惠英 秦晓华 王 伟   

  1. 中国石油集团东方地球物理公司研究院
  • 出版日期:2014-08-15 发布日期:2014-08-15
  • 作者简介:李虹(1967-),女,陕西城固人,硕士,2003 毕业于中国石油勘探开发研究院,高级工程师,现从事地震资料处理与研究工作。 地址:河北省涿州市甲秀路东安小区东方地球物理公司研究院,邮政编码:072751。E-mail:hongl@cnpc.com.cn

Massive Seismic Data Processing Scheme and Technology Development Trend

Li Hong, Cai Xiling,Wang Xuejun, Guo Huiying, Qin Xiaohua, Wang Wei   

  1. Research Institute of BGP,CNPC
  • Online:2014-08-15 Published:2014-08-15

摘要: 数据量大、波场复杂、空间采样密度高是当今地震勘探采集数据的特点,为了设计适合于海量数据的室 内处理架构,提高海量数据的处理效率,分析了海量数据处理中存在的质量控制难、常规流程与技术不能满足需求等 问题,探索了海量数据条件下的快速分析和质量监控方法,实现了大数据的有效压缩。基于现阶段相关领域的技术水 平,展望了在海量数据分析与处理中数据信息挖掘、数据可视化及信息融合等方面的发展趋势,以适应未来大数据体 中多种信息的提取和价值的挖掘。

Abstract: The present-day seismic data acquisition is characterized in massive seismic data, complex wave field and high-density spatial sampling. To design the indoor processing configuration for massive seismic data, improve efficiency of massive data processing and solve the bottlenecks of quality control in massive data processing and inadequacy of conventional process and technology, Research Institute of BGP has developed the method for rapid analysis and quality control under the condition of massive data processing, thus achieving effective compression of large dataset. Based on the current technological level in the related fields, this paper looks into the technological development trends, such as further tapping of data and information in massive data processing and analysis, data visualization and information merger, in the efforts to acquire a variety of information in the future processing large dataset.