大型油气开采企业智能化系统建设及生产应用

来源 :2017年第五届数字油田国际学术会议(DOFIAC2017) | 被引量 : 0次 | 上传用户:songyinming
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
针对特大型油气开采企业标准化、模块化、自动化、智能化的主要特点,本文就特大型油气开采企业智能化系统建设的理念和目标、总体架构、系统构成、标准建设等进行了重点介绍,并阐述了企业智能化系统的主要内容、工作目标、关键模块;最后介绍了企业智能化系统与实际生产应用相互促进的关系.
其他文献
With the construction of intelligent oil field,profound change is being brought by internet of things and big data,resulting in innovative development and management by information collection,distribu
数字化油田是一个系统工程,是以油田数据库和信息平台建设为基础,将油气发现与开发工作从历史性分类数据的顺序处理改变成实时数据并进行处理,利用实时数据流结合新型软件的应用和高速计算机系统,建立快速反馈的动态油田系统,以便提高产量和进行有效的油田管理.本文对大庆油田数字化建设与发展进行了简述,提出了在低油价条件下如何加快油田数字化建设的思想.
Huabei Erlian Oilfield is special alpine-cold region with low temperatures all year round.In the coming era of big data,planned wisdom organization operation and maintenance is not optimistic,there ar
The Digital Oilfield(DOF)has been a major performance improvement initiative within many oil and gas companies for much of the last decade.It is therefore surprising to find that,although many compani
2015-2016 early international oil prices fell,the impact of large oil companies at home and abroad,resulting in domestic and foreign oil companies "collapse" of the overall loss.there is a significant
According to the characteristics of water flooding development in low permeability reservoirs,on the basis of flow pipe model,considering threshold pressure gradient and threshold coefficient,we use s
This paper discusses the related technology of IPv6 used in the construction of oil and gas production network.This paper also develops extended data communication standard on GRM IPv6,which meets the
本文首先明确一种计算机应用的定义,即计算机是一个工具,选择合适的工具处理相应的工作,这样才能物尽其用,顺利的完成工作.从计算机使用者应具备的硬件、软件技能,及平时应养成良好的使用习惯,到计算机管理者应做的相关工作,从教学,到论证,最终得出提升基层单位计算机使用效率的三点建议.
Under the double blow of the rising of new energy and the normal operation of low oil price,domestic oilfield enterprises are forced to think deeply about their future development.Based on big data te
近一些年,在信息化技术的支撑下,油气勘探研究项目在数据信息收集、科研效率,成果共享等方面取得了长足得进步.本文重点论述了油气勘探科研项目中数据的实际需要,并探讨了项目研究中数据与业务融合的数据服务问题,给出了数据库为适应数据与业务融合的基本策略.