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Digital oil field 2.0: from information to action

机译:数字油田2.0:从信息到行动

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Big data assets vital to processing and exploration can now be viewed instantly, visually, and concisely so that decision-makers can find the information and domain experts they need to take action. If the digital oil field is producing anything, it's data. An active exploration survey can create hundreds of terabytes of data daily in formats ranging from paper well logs to raw sensor output. Using these data requires specialized knowledge, training, software, and, most importantly, a community of individuals who understand both the processing of raw information and interpreting the products that result. These hurdles are formidable, and many organizations fail to overcome them. Research firm and global market intelligence company IDC estimates that approximately 90% of the big data collected by enterprise organizations go unanalyzed. The majority of data collected are destined for life as "dark data'' - data that are never found again, processed, or analyzed effectively after being initially gathered.
机译:现在,可以即时,直观,简洁地查看对于处理和勘探至关重要的大数据资产,以便决策者可以找到采取行动所需的信息和领域专家。如果数字油田正在生产任何东西,那就是数据。一项主动的勘探调查每天可以创建数百TB的数据,格式从纸质测井到原始传感器输出不等。使用这些数据需要专门的知识,培训,软件,最重要的是,需要一个个人社区,他们既要了解原始信息的处理过程,也要理解所产生的产品。这些障碍是巨大的,许多组织未能克服它们。研究公司和全球市场情报公司IDC估计,企业组织收集的大数据中约有90%未被分析。收集到的大多数数据将以“黑暗数据”的形式存在-最初收集后再也找不到,处理或有效分析的数据。

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