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How Can We Turn Intelligent Energy into Profitable Operations?

机译:我们如何将智能能量转变为有利可图的运营?

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The Digital Oilfield philosophy has been with us for over a decade now. This philosophy has focused on leveraging the increasing "digitization" of the oil field and the interconnectedness of sensors, process control systems, smart equipment, and smart wells with remote decision support centers. Many innovative solutions have been developed to build upon field automation and real-time data to analyze, model and optimize specific oil field processes. The emergence of new digital technologies shows no sign of slowing. Some argue that we can now go forward from this foundation and focus now on analytics and the theme of PD2A (petroleum data-driven analytics). The industry is now facing a new commercial reality, low oil prices. It is not business as usual and it may be lower for longer. Aging infrastructure (facilities, wells and pipelines), the "big crew change", increasing regulation and more complex reservoirs all shape the near term future. Developing creative solutions and successfully deploy them using the data we have collected to gain better insights into operational inefficiencies, bottlenecks in our supply chain., and most difficult of all, to help our culture embrace new ways of working that bring out value in terms of lower costs of operations, safer operations and more environmentally benign operations. In adopting digital oilfield solutions, the industry has come up against a number of barriers including information silos, organization change, lack of trust, skill set shortages and ultimately the difficulty of building a business case for digital oilfield projects. This paper will explain why these barriers exist and will suggest alternative approaches to overcome them. In difficult economic times with lower budgets and fewer people, the digital oilfield can either be a way to turn data into insights which drive understanding and efficiencies; or it can be a complex source of yet more data which is too overwhelming to make a difference. It is a critical time for the digital oilfield to stand up and create value.
机译:数字油田哲学已经在我们二十多年来上一直在陪伴。这种哲学专注于利用油田的增加“数字化”以及传感器,过程控制系统,智能设备和远程决策支持中心的互联性。已经开发了许多创新解决方案,以建立在现场自动化和实时数据,以分析,模型和优化特定的油田过程。新的数字技术的出现显示没有减速的迹象。有些人认为,我们现在可以从这个基础前进,现在专注于分析和PD2A的主题(石油数据驱动的分析)。该行业目前面临着新的商业现实,低油价。它不是通常的业务,可能更长时间。老化基础设施(设施,井和管道),“大机组变革”,越来越多的规则和更复杂的油藏全部塑造了近期未来。开发创意解决方案并使用我们收集的数据成功部署他们,以获得更好的洞察力效率效率低,我们的供应链中的瓶颈。以及最困难的是,帮助我们的文化拥抱新的工作方式,从而实现了价值较低的运营成本,更安全的操作和更环境良好的操作。在采用数字油田解决方案中,该行业已经抵御许多障碍,包括信息筒仓,组织变革,缺乏信任,技能,最终难以构建数字油田项目的商业案例。本文将解释为什么存在这些障碍,并建议克服它们的替代方法。在经济较低的经济时期,预算较少,更少的人,数字油田可以成为一种方式将数据转化为洞察力的洞察力,这引发了理解和效率;或者它可以是几个复杂的来源,更多的数据过于压倒性地差异。这是数字油田的关键时刻,站起来创造价值。

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