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大数据时代的石油地震勘探系统与软件平台
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谢玮1, 刘斌2, 刘鑫3, 李玉1, 翟焱森1
作者信息
    1. 中国地质大学(北京)地球物理与信息技术学院, 北京 100083;
    2. 中国石化石油工程地球物理有限公司胜利分公司, 东营 257086;
    3. 中国石化华北油气分公司采油气工程服务中心, 咸阳 712000
System and software platform of oil seismic exploration in big data era
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出版时间: 2017-08-13 doi: 10.3981/j.issn.1000-7857.2017.15.008
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石油勘探开发精度的不断提高,促进了低频可控震源、宽频带、宽方位、高密度和高效采集技术的推广应用,石油地震勘探已进入了大数据时代,对质量监控、数据处理、数据安全存储和管理带来了新的挑战。本文分析了石油地震勘探大数据的特点,阐述了中国石化基于Hadoop分布式大数据处理系统研发的π-Frame地震数据处理解释软件平台基本构架,举例说明了该平台在石油地震勘探大数据中的应用,对其发展前景进行展望。
石油地震勘探  /  大数据  /  Hadoop系统  /  地震数据处理解释  /  软件平台
Low-frequency vibrator, wide-band, wide-azimuth and high-density, high-efficiency acquisition technologies have been put into wide application thanks to the continual accuracy requirement of oil exploration and development. At the same time, oil seismic exploration has entered an era of big data, leading to a series of challenges of quality control, data processing, safety storage and management. For this reason, Sinopec has developed a "π -Frame seismic data processing and interpretation integration software platform" based on the Hadoop big data architecture. In this paper, we first introduce the characteristics of big data in oil seismic exploration. Then we describe the basic framework of the π-Frame platform. Finally we illustrate the application of big data in oil seismic exploration and prospect its potential developments.
oil seismic exploration  /  big data  /  Hadoop  /  seismic data processing and interpretation  /  software platform
谢玮, 刘斌, 刘鑫, 李玉, 翟焱森. 大数据时代的石油地震勘探系统与软件平台. 科技导报, 2017 , 35 (15) : 57 -62 . DOI: 10.3981/j.issn.1000-7857.2017.15.008
XIE Wei, LIU Bin, LIU Xin, LI Yu, ZHAI Yansen. System and software platform of oil seismic exploration in big data era[J]. Science & Technology Review, 2017 , 35 (15) : 57 -62 . DOI: 10.3981/j.issn.1000-7857.2017.15.008
2017年第35卷第15期
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doi: 10.3981/j.issn.1000-7857.2017.15.008
  • 接收时间:2017-02-17
  • 首发时间:2017-08-16
  • 出版时间:2017-08-13
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  • 收稿日期:2017-02-17
  • 修回日期:2017-04-27
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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