| 摘要: |
| 近年来,随着国内油气勘探开发工作的不断深入,我国油气行业在地质、测井、物探、开发等各个环节均积累了海量的油田数据资源,油田的信息化、数字化、智能化建设也逐步展开,油气勘探开发已经进入“大数据”时代。大数据作为多学科一体化“融合”的纽带,对石油工程具有重要的意义,但因其数据量巨大、结构复杂、形式多样、种类繁多等特点,目前没有形成统一的、及时更新的、共享的油气井地质与工程基础数据库,并且缺乏对数据的分类整理和二次开发。面对当前大数据在石油工程应用及一体化建设中的挑战,提出合理的数据处理方式及发展思路,对于石油工程大数据更好地应用于油田生产实践,提高油田生产决策的科学性具有一定的指导意义。 |
| 关键词: 大数据 石油工程 关键技术 管理模式 |
| DOI：10.13216/j.cnki.upcjess.2020.03.0001 |
| 分类号:TE319; TP311.13 |
| 基金项目: |
|
| Challenge and Development of Big Data Application in Petroleum Engineering |
|
SU Jian1,2, LIU He1
|
|
(1.PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China;2.School of Economics and Management, China University of Petroleum(East China), Qingdao, Shandong 266580, China)
|
| Abstract: |
| In recent years, with the deepening of domestic oil and gas exploration and development, a large number of oilfield data resources have been accumulated in geology, logging, geophysical prospecting, exploitation and other links, and the informatization, digitalization and intelligent constructions are in progress. Oil and gas exploration and development has entered the era of "big data". As a link of multi-disciplinary integration, big data is of great significance to petroleum engineering. However, due to its huge data volume, complex structure, diverse forms and various types, there is no unified, timely updated and shared basic database of geology and engineering of oil and gas wells, and there is a lack of classification, sorting and secondary development of data. This paper sorts out the challenges faced by the application and integration of big data in petroleum engineering, and puts forward the data processing methods and development ideas, which has certain guiding significance for the better application of big data in oil field production practice and improving the scientific decision-making of oil field production. |
| Key words: big data petroleum engineering key technologies management mode |
