Seismic Data Attribute Extraction Based on Hadoop Platform

被引:0
|
作者
Ma Zhonghua [1 ]
机构
[1] Tianjin Univ Technol & Educ, Sch Sci, Tianjin, Peoples R China
关键词
big data; seismic data; attribute extraction;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Seismic exploration is an advantageous method to find oil and gas reservoirs. Seismic attributes reflect the whole nature of seismic information and reflect the physical and lithological characteristics of reservoirs from different angles. With the continuous development of seismic attribute technology, the types of seismic attributes are also increasing, and these attributes are applied to oil and gas exploration and development as a focus and direction of current attribute research. Seismic attribute technology can extract useful information from seismic data, not only can improve the utilization value of the original seismic data, but also can improve the application level of seismic technology in industry. At present, three-dimensional seismic exploration technology has been widely used. With the rapid increase of seismic data, it brings more valuable information for the research of reservoir prediction method, but the problem is huge, and the problem of information extraction is also prominent. The seismic attribute extraction and analysis method based on Hadoop platform provides a solution to the problem of big data processing in petroleum exploration applications.
引用
收藏
页码:180 / 184
页数:5
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