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作 者:刘合 姚尚林[2] 李欣[2] 苏健[2] Liu He;Yao Shanglin;Li Xin;Su Jian(National Key Laboratory of Green Exploitation of Continental Shale Oil with Multi-resource Collaboration,Daqing 163000,China;Research Institute of Petroleum Exploration&Development,PetroChina,Beijing 100083,China;Key Laboratory of Coalbed Methane,China National Petroleum Corporation,Langfang 065007,China)
机构地区:[1]多资源协同陆相页岩油绿色开采全国重点实验室,大庆163000 [2]中国石油勘探开发研究院,北京100083 [3]中国石油天然气集团有限公司煤岩气重点实验室,廊坊065007
出 处:《工程研究——跨学科视野中的工程》2025年第2期243-258,共16页JOURNAL OF ENGINEERING STUDIES
基 金:国家自然科学基金卓越研究群体项目:数字经济时代的资源环境管理理论与应用(72088101)。
摘 要:在全球能源转型与生态保护需求日益突出的背景下,智慧油田建设成为石油行业突破传统开发模式瓶颈的必然选择。本文采用系统论、唯物辩证法和实践论相结合的方法,分析了智慧油田建设在数据管理、平台技术、智能应用、组织管理与安全保障等方面的主要挑战,并提出了以“聚能-赋能-释能”为主线的智慧油田生态系统设计原则。研究指出,智慧油田建设需通过数据治理、模型构建、数字孪生融合和智能决策支持等多维度协同,推动油田生产、管理与运营的全方位智能化升级。通过构建“三横、四纵、一门户”的生态系统架构,提出了“天+地+人+物+事+运营”的智慧油田生态系统构想,旨在实现从数据汇聚到智能决策的全链条贯通,为石油行业的数字化转型提供理论框架与实践路径。作者还结合国内外智慧油田建设案例,验证了“聚能-赋能-释能”框架的可行性,为企业制定智慧油田建设战略提供了科学依据,同时为学术界相关研究提供了新的视角与方法。This study focuses on the key issues in Smart Oilfield construction,proposing systematic solutions to provide theoretical foundations and practical guidance for the digital transformation of the petroleum industry.This research adopts a multidimensional integration methodology combining system theory,materialist dialectics,and practical philosophy,along with an engineering-ecological perspective,to conduct an in-depth analysis of the current status and challenges of Smart Oilfield construction.Based on domestic and international practical experiences in Smart Oilfield development and the characteristics of the petroleum industry,the study proposes a"energy aggregation-empowerment-enablement"framework structured around a"three girders,four foundations,one portal"ecosystem architecture.Through the integration of multi-source heterogeneous data,the construction and optimization of intelligent models,the application of digital twin technology,and the implementation of Smart Oilfield application scenarios,the study comprehensively explores the pathways and methods for Smart Oilfield construction.The research first analyzes the main challenges in Smart Oilfield construction,including data silos,limitations in technological applications,organizational inefficiencies,and security vulnerabilities.To address these issues,the study proposes solutions such as data aggregation and unified management,the construction of integrated business models,the development of smart applications,and the improvement of operational management systems.By building a lakehouse-integrated data environment,developing intelligent models and optimization algorithms,and promoting multimodal data training and the integration of industry knowledge,the study gradually validates the feasibility and effectiveness of the Smart Oilfield ecosystem.Additionally,through case studies of domestic and international Smart Oilfield projects,such as those by Shell,BP,PetroChina,Sinopec and CNOOC,the practical value of the proposed solutions is further demonstrated
分 类 号:TE49[石油与天然气工程—油气田开发工程]
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