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SMi E&P Data Management, London

机译:SMi E&P数据管理,伦敦

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The 15~(th) edition of SMi's E&P Data Management London conference offered a good snapshot of the state of the art, underscoring the trend to maturity of recent years. A good example of such was Jeanette Yuile's presentation of Shell UK's approach to data management in support of emergency response. Moving the data discipline into such a mission critical area involved changing culture. Data management used not to be perceived as a good career path compared with geoscientists and other 'fancy people.' Users were in general 'too tolerant of bad practices.' So Shell has now elevated the profession with better career paths and used a Kaizen-inspired approach to address data 'waste,' effect small changes and measure the results. Yuile's vision is of DM as a 'formal garden' with clear boundaries and patterns and the data managers as gardeners working to 'evergreen' the data. The result is quality data and documents served from a central file plan and data atlas backed up with information quality metrics and a business rule repository. It was then feasible to leverage this ordered dataset on an emergency response portal with access to 20 key data types providing immediate access to a standard set of verified subsurface and facility information for use in case of a well emergency.
机译:SMi的E&P数据管理伦敦会议的第15版(第15版)提供了一个很好的快照,突显了近年来的成熟趋势。一个很好的例子就是Jeanette Yuile介绍了壳牌英国公司支持紧急响应的数据管理方法。将数据学科转移到这样的任务关键区域需要改变文化。与地球科学家和其他“奇特的人”相比,数据管理曾经不被视为一条良好的职业道路。用户通常“过分容忍不良做法”。因此,壳牌现在通过更好的职业道路提升了该行业,并采用了Kaizen启发的方法来解决数据“浪费”,产生小的变化并衡量结果。 Yuile的愿景是将DM视为具有明确边界和模式的“正式花园”,并将数据管理者视为致力于“常绿化”数据的园丁。结果是从中央归档计划提供的高质量数据和文档以及以信息质量指标和业务规则存储库备份的数据图集。然后,在紧急响应门户上利用此有序数据集是可行的,可以访问20种关键数据类型,从而可以立即访问一组标准的经过验证的地下和设施信息,以便在紧急情况下使用。

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