摘要
油田企业要应对高质量发展需求与外部严峻挑战,智能油田建设成为必然的发展方向。总结分析了中外油田企业在智能化建设中的先进实践,认为智能油田要具备全面感知、集成协同、预警预测、分析优化四项能力。在物联网建设全面推进的基础上,中国油气行业依托逐渐积累起的海量数据资源,结合智能化的技术手段在提高油气田勘探开发、生产运行的质量与效率方面开展了一系列探索与实践,在储层预测、油藏描述、工况诊断等业务场景中取得了良好的应用效果。为全面实现油田企业数字化转型、智能化发展,下步需要在生产现场动态自动监测与智能控制技术、新一代油田工业大数据智能化技术、油藏开发智能优化技术、油田数字孪生与智能运营指挥技术等方面深化攻关研究,形成具有领先水平的智能采集、全面感知、智能控制、预警预测等智能油田基础关键技术系列,支撑油田高质量发展,保障国家能源安全。
For oilfield enterprises,constructing intelligent oilfields is an inevitable development direction to meet the needs of high-quality development and severe external challenges.This paper summarizes the advanced practice of oilfield enter⁃prises in China and abroad in intelligent construction and concludes that intelligent oilfields should have four abilities:com⁃prehensive perception,integration and coordination,early warning and prediction,and analysis and optimization.On the ba⁃sis of comprehensively promoting the construction of the Internet of things,China’s oil and gas industry has conducted a se⁃ries of explorations and practice by leveraging the massive data resources accumulated gradually and resorting to intelligent technologies to improve the quality and efficiency of the exploration and development and production operation of oilfields and gasfields.Favorable application results have been achieved in business scenarios of reservoir prediction,reservoir de⁃scription,and working condition diagnosis.For the comprehensive implementation of digital transformation and intelligent development of oilfield enterprises,key research problems need to be further tackled for the technology of dynamic automat⁃ic monitoring and intelligent control on the production site,new-generation intelligent oilfield technology based on industri⁃al big data,intelligent optimization technology for oil reservoir development,and digital twin and intelligent operation com⁃mand technology for oilfields.The objective is to develop a leading series of basic key technologies of intelligent acquisi⁃tion,comprehensive perception,intelligent control,and early warning and prediction for intelligent oilfields and thereby support the high-quality development of oilfields and ensure national energy security.
作者
聂晓炜
NIE Xiaowei(Shengli Oilfield Company,SINOPEC,Dongying City,Shandong Province,257001,China)
出处
《油气地质与采收率》
CAS
CSCD
北大核心
2022年第3期68-79,共12页
Petroleum Geology and Recovery Efficiency
基金
中国石化“十三五”重点科技攻关项目“勘探开发智能化关键技术及应用”(P14130)。
关键词
智能油田
大数据
人工智能
智能勘探开发
智能生产运行
intelligent oilfield
big data
artificial intelligence
intelligent exploration and development
intelligent produc⁃tion operation
作者简介
聂晓炜(1974-),男,山东临沂人,高级工程师,硕士,从事油田勘探开发、生产运营管理工作。E-mail:niexiaowei.slyt@sinopec.com。
