油气公司将越来越多地采用大数据

中国石化新闻网讯 据油气技术1月21日消息称，石石油和天然气资产越来越多地配备了物联网传感器，导致数据呈指数增长。反过来，这也增加了采用数据管理解决方案以改进操作可见性的需要。GlobalData表示，这种方法还有助于识别操作中的瓶颈，揭示不同实体之间的模式和关系。

GlobalData的石油和天然气分析师Ravindra Puranik评论道：“石油和天然气行业在整个价值链中每天都会生成大量数据。然而，尽管资金充裕，它在数据管理方面却一直很差。只有当利润下降时，行业才会开始研究如何利用数据来提高运营效率。然而，这种放任政策现在已经不那么盛行了。在整个价值链中，许多企业都在以企业视角看待数据，并应用分析来改进现有的业务流程，开发新的收入流。”

数据管理是一个非常复杂的过程，尤其是考虑到一家石油公司的上游数据大多是在远程资产上创建的，而且通常存储在不同的、相互断开的基础设施中。此外，拥有油气行业工作知识的数据科学家非常缺乏。

Puranik继续说道：“一旦石油和天然气行业的大数据克服了这些障碍，它将经历增量增长。利润下降和可再生能源未来的不确定性等担忧，将进一步加速这一增长。”

“传统上，石油和天然气行业依靠纸质数据收集来维持日常运营记录。这种方法现在基本上已经数字化了。有效的数据管理对于这种方法的成功至关重要，这样公司才能更好地利用他们的数据。”

GlobalData的专题研究将ADNOC、英国石油、雪佛龙、康菲石油、Equinor、埃克森美孚、俄罗斯天然气工业股份公司、俄罗斯石油公司、雷普索尔、荷兰皇家壳牌和伍德赛德列为大数据主题中主要的石油和天然气公司。

斯伦贝谢和贝克休斯等油田服务公司，以及微软和亚马逊等科技巨头，都在开发针对行业的大数据解决方案，以帮助BP、雪佛龙和埃克森美孚等公司完成数据管理任务。这些解决方案可以根据油气公司的要求，针对不同的操作流程和功能进行定制。

Puranik总结道:“这个行业产生了大量的数据，需要大量的时间和强大的计算能力来存储和分析。这可以通过投资自己的数据存储设施或转移到基于云的解决方案来实现。公司采用这两种方法的结合来管理他们的数据需求，同时也平衡财务方面。”

曹海斌 摘译自 油气技术

原文如下：

Increasing adoption of big data by oil and gas companies expected

Oil and gas assets are increasingly fitted with a multitude of Internet of Things (IoT) sensors, causing an exponential growth in data. This, in turn, is increasing the need for adoption of data management solutions for improved operational visibility. This approach also helps identify bottlenecks in operations and uncover patterns and relationships across diverse entities, says GlobalData.

Ravindra Puranik, Oil and Gas Analyst at GlobalData, comments: “The oil and gas industry has always generated huge volumes of data daily across the value chain. However, despite being awash with money it has been poor at data management. It is only when profits drop that the industry starts to investigate how to use data to improve operational efficiency. However, this laissez-faire approach is less prevalent now. Many players, across the value chain, are taking an enterprise-wide view to data, and applying analytics to improve existing business processes and to develop new revenue streams.”

Data management is a very complex process, particularly given that much of an oil company’s upstream data is created on remote assets and often stored in disparate, disconnected infrastructure. Moreover, there is a paucity of data scientists with a working knowledge of the oil and gas industry.

Puranik continues: “Big data in the oil and gas industry will experience incremental growth once it overcomes these barriers. The growth will be further accelerated by concerns such as falling profit and future uncertainty from renewables.

“The oil and gas industry traditionally relied on paper-based data collection for maintaining records from daily operations. This approach has largely been digitalised now. Effective data management is essential for this approach to succeed so that companies can make better use of their data.”

GlobalData’s thematic research identifies ADNOC, BP, Chevron, ConocoPhillips, Equinor, ExxonMobil, Gazprom, Rosneft, Repsol, Royal Dutch Shell and Woodside as among the major oil and gas players present in the big data theme.

Oilfield service companies, such as Schlumberger and Baker Hughes, as well as tech giants such as Microsoft and Amazon, are developing industry-specific big data solutions to help companies such as BP, Chevron and ExxonMobil in data management tasks. These solutions can be customised for different operational processes and functions as per the requirements of the oil and gas companies.

Puranik concludes: “The industry generates large volumes of data that require considerable time and substantial computing power to store and analyse. This can be done either by investing in data storage facilities of their own or shifting to cloud-based solutions. Companies are adopting a combination of both these approaches to manage their data requirements while also balancing the financial aspects.”