摘要
大数据作为石油新经济的理论是最近几年提出的,石油上游产业从勘探到开发产生大量的原始数据,如何收集、解释和利用这些数据给石油工业带来了挑战。为了使各种复杂和日益剧增的原始数据变得更有价值,必须对其进行分解、分析和提取才能为勘探与开发提供有效的信息服务。石油上游产业在地面和井下使用数以千计的传感器采集大量的原始数据,用于二维、三维地震建模、油藏模拟、实时监测、地质导向和油气开采。石油上游产业的数据量已经超出人们的想象,大数据技术能将其中的公共数据与不同领域或专业的数据融为一体,提取并发布正确的信息,这种能力可以帮助企业依据提取的数据和发布的正确信息为决策者提供及时和正确的决策。本文重点讲述如何运用大数据技术优化石油上游产业,大数据技术如何为企业的专家和决策者提供正确的决策。
Big data as a new economic theory of petroleum is introduced in recent years.Large amounts of raw data are produced from the exploration to the upstream petroleum industry development.How to collect,interpret,and use these data has brought great challenges to the oil industry.In order to make all kinds of complex and growing raw data become more valuable,they must be decomposed,analyzed and extracted to provide effective information service for exploration and development.Petroleum upstream industry use thousands of sensors on the surface and underground to collect a lot of raw data which are used in 2D,3D seismic modeling,reservoir simulation,real-time monitoring,geosteering,and oil and gas production.The amount of data from petroleum upstream industry is beyond people's imagination.Big data technology can integrate the common data with different areas or professional data,and extract and deliver the right information,which can help provide timely and correct decision for the decision makers.This paper focuses on how to use big data technology to optimize petroleum upstream industries,and how big data technology helps the enterprise experts to make the right decisions.
出处
《石油工业计算机应用》
2015年第1期8-12,3,共5页
Computer Applications Of Petroleum
关键词
大数据
石油上游产业
勘探与开发
数据分析
优化与决策
产业创新
big data
petroleum upstream industry
exploration and development
data analysis
optimi-zation and decision
industry innovation
