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Data as an asset: What the oil and gas sector can learn from other industries about 'Big Data'

机译:以数据为资产:石油和天然气行业可以从其他行业中学到有关“大数据”的知识

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摘要

The upstream oil and gas industry has been contending with massive data sets and monolithic files for many years, but "Big Data" is a relatively new concept that has the potential to significantly re-shape the industry. Despite the impressive amount of value that is being realized by Big Data technologies in other parts of the marketplace, however, much of the data collected within the oil and gas sector tends to be discarded, ignored, or analyzed in a very cursory way. This viewpoint examines existing data management practices in the upstream oil and gas industry, and compares them to practices and philosophies that have emerged in organizations that are leading the way in Big Data. The comparison shows that, in companies that are widely considered to be leaders in Big Data analytics, data is regarded as a valuable asset-but this is usually not true within the oil and gas industry insofar as data is frequently regarded there as descriptive information about a physical asset rather than something that is valuable in and of itself. The paper then discusses how the industry could potentially extract more value from data, and concludes with a series of policy-related questions to this end. (C) 2015 Elsevier Ltd. All rights reserved.
机译:上游石油和天然气行业多年来一直在争夺海量数据集和整体文件,但是“大数据”是一个相对较新的概念,具有显着重塑该行业的潜力。尽管大数据技术在市场的其他部分已经实现了令人印象深刻的价值,但是,石油和天然气行业内收集的许多数据往往以非常粗略的方式被丢弃,忽略或分析。此观点检查了上游石油和天然气行业中的现有数据管理实践,并将它们与在大数据领域处于领先地位的组织中出现的实践和哲学进行了比较。比较表明,在被广泛认为是大数据分析领导者的公司中,数据被视为有价值的资产,但是在石油和天然气行业中,这通常是不正确的,因为在该行业中,数据经常被视为关于数据的描述性信息。实物资产,而不是本身具有价值的东西。然后,本文讨论了该行业如何潜在地从数据中获取更多价值,并为此提出了一系列与政策相关的问题。 (C)2015 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Energy Policy》 |2015年第6期|117-121|共5页
  • 作者单位

    Queensland Univ Technol, Brisbane, Qld 4001, Australia|Univ Cambridge, Ctr Strategy & Performance, Cambridge CB2 1TN, England;

    Intel Corp, Santa Clara, CA 95054 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Big data; Oil and gas; Information technologies; Data;

    机译:大数据;油气;信息技术;数据;

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