如何利用大数据技术优化石油上游行业的作业

IRPN: Science Pub Date : 2013-09-06 DOI:10.5585/iji.v1i1.4
Abdelkader Baaziz, L. Quoniam
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引用次数: 80

摘要

“大数据是新经济的石油”是过去三年最著名的名言。它甚至在2011年被世界经济论坛采纳。上游对大数据并不陌生。了解和利用上游部门的数据可以使公司在规划、勘探、圈定和油田开发过程中保持竞争力。石油和天然气公司进行先进的地球物理建模和模拟,以支持地震在勘探阶段产生重要数据的作业。他们密切监视其经营性资产的表现。为了做到这一点,他们在地下井和地面设施中使用了数千个传感器,以提供对资产和环境条件的连续实时监测。不幸的是,这些信息以各种复杂的形式出现,使得收集、解释和利用这些信息成为一项挑战。大数据技术集成了常见和不同的数据集,以便在正确的时间向正确的决策者提供正确的信息。这些功能帮助公司处理大量数据,优化勘探、开发和生产的各个阶段。大数据确保更安全、更负责任的运营。本文的目的是解释如何使用大数据技术来优化运营。大数据如何帮助专家做出决策,从而实现预期的结果?
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How to Use Big Data Technologies to Optimize Operations in Upstream Petroleum Industry
"Big Data is the oil of the new economy" is the most famous citation during the three last years. It has even been adopted by the World Economic Forum in 2011. Upstream is no stranger to Big Data. Understanding and leveraging data in the upstream segment enables firms to remain competitive throughout planning, exploration, delineation, and field development. Oil & Gas Companies conduct advanced geophysics modeling and simulation to support operations where Seismic generate significant data during exploration phases. They closely monitor the performance of their operational assets. To do this, they use thousands sensors in subsurface wells and surface facilities to provide continuous and real-time monitoring of assets and environmental conditions. Unfortunately, this information comes in various and complex forms, making it a challenge to collect, interpret, and leverage. Big Data technologies integrate common and disparate data sets to deliver the right information at the right time to the correct decision-maker. These capabilities help firms act on large volumes of data, optimizing all phases of exploration, development and production. Big Data ensure safer, more responsible operations. The aim of this paper is to explain how to use Big Data technologies to optimize operations. How can Big Data help experts to decision-making leading the desired outcomes?
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