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Wintershall Dea goes digital-Initial results of drilling digitalization pilot projects

机译:Wintershall DEA的数字 - 钻探数字化试点项目的初始结果

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Digitalization has arrived in almost all areas of the E&P business,and companies have started tapping into the vast opportunities that Artificial Intelligence(AT),Machine Learning(ML),smart technology,systems and processes offer.This article describes how Wintershall Dea is introducing Digitalization to the area of Well Engineering and Construction.Four so-called pilot projects are presented,which cover different aspects of the well delivery life cycle,from well planning to execution:”Cognitive offset well analysis”aims at automating the process of filtering and comparing relevant features for early stage scoping purposes and reducing planning time from days to hours or even minutes.”Hole cleaning console”shows an example of how development of fit-for-purpose consoles or apps for rig-site advisory purposes is possible through collaboration between operator and 3rd party specialist companies.”ROP Optimizer”demonstrates the enormous power of Machine Learning algorithms,which can,when applied to offset well data,predict maximum achievable ROP in almost any given subsurface environment.”Computer Vision Enhanced Cuttings Monitoring”enables early detection of borehole and equipment problems with the help of Artificial Intelligence.Well engineering professionals need to be educated in agile work and product development techniques,data management,and ML and AI basics,so that more topics suitable for digitalization pilots can be generated and future development cycles,from ideation to product,shortened.
机译:数字化已经到达了E&P业务的几乎所有领域,公司已经开始利用人工智能(处),机器学习(ML),智能技术,系统和流程优惠的巨大机会。这篇文章介绍了Wintershall DEA如何介绍的方式数字化到井工程和施工领域。提出了所谓的试点项目,涵盖了井交付生命周期的不同方面,从规划到执行:“认知偏移井分析”旨在自动化过滤过程和比较早期阶段范围的相关特征,并将计划时间从天到几小时甚至几分钟。“孔清洁控制台”显示了如何通过协作开发适合现场咨询目的的适合目的控制台或应用程序的示例在运营商和第三方专家公司之间。“ROP Optimizer”演示了机器学习算法的巨大力量,当应用程序时可以欺骗偏移井数据,预测几乎任何给定的地下环境中的最大可实现的ROP。“计算机视觉增强的切割监测”可以在人工智能的帮助下提前检测钻孔和设备问题.Well工程专业人员需要在敏捷工作中受过教育产品开发技术,数据管理和ML和AI基础知识,使得可以生成更多适合数字化飞行员的主题和未来的开发周期,从IDeation到产品,缩短。

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