The upstream oil and gas industry has a great opportunity these days to look for ways to be more efficient in its operations. Improved efficiency and higher asset performance translates to increased profitability, which can help take the sting out of the current market value of this industry’s product and best position the companies in this industry for excellence once the price of oil rebounds.
大数据和工业互联网(IIT)是由公司实施的概念和工具集,以实现这些提高的效率。然而,实现这一承诺所需的工具必须在实时收集,指数和分析数据的能力,最终改善整个企业的公司的决策能力。
The computational power of today’s systems provide amazing data indexing (ever think about what makes Google’s search engine so accurate?) as well as analytical and modeling programs with visualization abilities that provide insight into a process that was never before achievable. When used properly, these tools can predict an outcome well before it happens, allowing for appropriate action to be taken that favorablychanges the outcome. A recent ARC Advisory Group report, “IIoT Strategies in Upstream Oil & Gas,” provides an example of an offshore company replacing a suspect seal on a water injection pump prior to failure, saving the company $7.5 million in unplanned downtime.
虽然这个机会对这些公司的C级高管和市场分析师来说听起来很棒,但是这个机会的主要任务是数据收集 - 而不仅仅是任何类型的数据收集。可用的许多强大的大数据应用程序来自IT世界,其中数据收集通常涉及从IT系统摄取日志文件。上游石油和天然气运营并非如此,工业数据不容易获得。这些操作通常远程,涉及几种不同类型的传感器,控制器,RTU和流量计 - 通常来自不同的公司 - 该应用程序所需的数据。此外,领域的一些设备是古老的 - 这是“如果它没有破产,不要修理它”心态;并且,考虑到创建了大部分设备的时间段,它不设计用于共享数据。在此之上,与这些远程站点的通信通常有限,依赖于无线遥测系统,如收音机,蜂窝和卫星具有有限的带宽和高延迟。
幸运的是,新技术正在缓解s the challenge of data collection. For example, KEPServerEX from Kepware supports more than 150 communication drivers for data collection and uses the OPC UA standard to link to SCADA, HMI and other automation systems. It forwards this information via the Industrial Data Forwarder for Splunk Plug-Into Big Data technology from Splunk (a platform for collecting and indexing machine data) for optimized searching, monitoring, alerting, analyzing and reporting. KEPServerEX enables Splunk Enterprise and Splunk Cloud to securely and reliably collect, forward and store information from meters and sensors for problem identification and statistical analysis.
经过incorporating Big Data technologies into their operating and business systems, upstream oil and gas companies can leverage information to anticipate problems, reduce costs and coordinate resources in one effective process.
Kepware
www.kepware.com.
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