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Systematic Management for Drilling Process Improvement

机译:钻井过程改进的系统管理

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Today every Oil & Gas company is talking about Digital Transformation as a new mantra, making reference to the more recent digital technologies such as IoT, Big Data, Machine learning, etc. Historically we already have seen such "transformations" in the past, such as agricultural revolution with tractors and such, the industrial "revolution" with assembly line and mass production, etc. There is nothing intrinsically new about the recent "digital revolution" and it is more like a deja vu situation, raising similar questions and some dreadful future scenarios. Using the basic tripod of people-process-technology, I would argue that the people are the same, regardless of the "revolution". The "technology" is just the enabler of the revolution, the same as the tractor or IoT technology. What really matters is the "process" of how people can use the technology to deliver improved results. Hence, this paper looks into the drilling business from a "process management" perspective as a means to effectively use the digital technology currently available. Over the last 100 years, "scientific management" has been used or was used as a basis for many current process management styles. Understanding what has worked and what has failed in the past. Learning from the past, gives us a better model for the process to use the current flood of data measurements. I would like to propose some working models for drilling continuous process improvement, a methodology and some guidelines used.
机译:今天,每一家石油和天然气公司正在谈到数字转型作为新的口头禅,参考IOT,大数据,机器学习等更新的数字技术,历史上看,我们已经看到了过去的这种“转变”,这样随着拖拉机的农业革命,工业“革命”与装配线和批量生产等。最近的“数字革命”没有任何内心新的新内容,它更像是Deja Vu的情况,提出类似的问题和一些可怕的问题未来的情景。使用人的基本三脚架 - 技术技术,我会争辩说,无论“革命”,人们都是一样的。 “技术”只是革命的推动者,与拖拉机或物联网技术相同。真正重要的是人们如何利用该技术提供改进的结果的“过程”。因此,本文从“流程管理”视角看钻探业务,作为有效地使用目前可用的数字技术的手段。在过去的100年里,“科学管理”已被使用或被用作许多当前流程管理风格的基础。了解过去的工作以及过去失败的内容。从过去学习,为我们提供更好的模型,以便使用当前的数据测量来实现流程。我想提出一些工作模型,用于钻取连续流程改进,方法论和一些指导原则。

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