Big Data Integration Architectural Concepts for Oil and Gas Industry

被引：0

作者：

Alguliyev, Rasim M. ^{[1
]}

Aliguliyev, Ramiz M. ^{[1
]}

Hajirahimova, Makrufa S. ^{[1
]}

机构：

[1] Inst Informat Technol ANAS, Baku, Azerbaijan

来源：

2016 IEEE 10TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT) | 2016年

关键词：

oil and gas industry; big data; business analyticss; business intelligence; predictive analyticss; data mining; decision-making;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years economic an social activity fields is based on data. Oil and gas industry leaders understand the value of big data and are interested in digital oil industry becoming a reality. Here is big data is analysed as a key component in based decision making in oil and gas industry during exploration, drilling and production. In oil and gas industry architectural model is offered for integration and convergence of big data, business analyticss and transaction data.

引用

页码：20 / 24

页数：5

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INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2015, 35 (02) :137-144

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