The Research of Big Data Analysis Platform of Oil & Gas Production

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:wonderful_world
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
  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,distributed computing and data mining and other technologies.However,it is a great challenge for us that how to combine big data analysis technique with conventional oil & gas production to serve petroleum industry better.Because of complexity and unknown of oil & gas production,present production problems can not be real-time solved by conventional plans.Big data method is introduced for these problems.Big data analysis platform of oil & gas production is established initially,realizing the functions of data handling,diagnosis,prediction,early warning,and multivariate visualization analysis.Well condition can be predicted by model identification of time series of well load,current,pressure,liquid level,rate and other parameters.Visual problems of multi-parameter sensitivity analysis can be solved by dimensionality reduction method.Based on big data clustering analysis,oil wells in a block can be bulk evaluated.Big data analysis platform of oil & gas production platform is still improving.Based on multi dimension and source data,through statistical analysis,model identification,clustering analysis and visualization,intelligent diagnose,prediction,optimization decision and evaluation of oil & gas production will be finished,realizing the transform from operation model to data model.Finally a new method will be provided for increasing production,declining energy consumption and saving cost.
其他文献
信息系统建设的开发方式还停留在从0到1的开发模式中;优秀的应用程序无法跨区域、跨平台应用;系统建设的成本居高不下;本文以云计算全新的视角,论述了通过Saas(应用即服务)服务平台,基于API实现应用和数据的共享和重用,消灭信息孤岛,让成熟的标准应用和数据得到更好的传播,避免高昂的重复建设,从而为低成本、高效的信息系统建设提供一条思路.
文章说明和分析数字油田体系下的物联网职能和框架层级,之后,对于当前油田物联网环境中的几种主要技术及其应用特征做出了分析,使油田物联网的认识达到新层次.
本文主要对门禁系统进行说明分析,对测试生产与安全一体化管理系统中危险品运输车辆门报警装置进行设计.该设计中充分考虑了使用人的方便及应用中的报警方式及联动功能.
Oilfield data is the fixed asset and resource of oil field enterprises.Data is becoming increasingly important for oil field enterprises under the current situation.However,the problems caused by data
Data is one of the most vital,strategic assets any organization possesses.The management and staff of an organization need to make good decisions,i.e.,the ones that yield results.They thus need to cre
会议
The article describes different methods of spectral decomposition on model seismic traces via machine learning approach.The main methods are considered: windowed Fourier transform,continuous wavelet t
Data is always at the core position in enterprises digitalization.With the informazation in Changqing Oilfield shifted from centralism construction to integration application and big analysis after Ch
欢623块油藏类型属于厚层——块状边、底、顶水的岩性特稠油油藏,油层分布主要受物性和岩性控制.该块自投入开发以来,先后采用直井与水平井开发,均因复杂的油水关系导致油井水淹较快,缩短了油井生命周期.此次研究,通过对含有不同流体性质的砂体的地震振幅强弱分析,认清了区块油水分布规律,有效指导了水平井开发部署,避免了地层水体对油井的再次侵入,改善了区块开发效果.
Oilfield operations generate huge amounts of data from electronic sensors used to monitor well performance and reservoir characteristics.There is an immediate demand to have a scalable and intelligent
Hydrocarbon study would produce large amount of geological,geophysical,geochemical and other data with multiple formats.It is extremely challenging to explore and extract valuable but hidden informati