摘要
油气田地面工程的节能提效问题大多可归结为条件极值优化问题,应用最优化方法进行油气田地面工程生产建设方案的优化设计已成为实现“双碳”目标的重要支撑途径。总结了油气田地面工程中集输、注水、配套工程系统优化研究的重要进展,梳理了节能提效新阶段油气田地面工程整体优化以及地上地下一体化优化的理论成果,探讨了优化模型与求解方法研究亟需解决的问题。在减碳政策趋紧和节能提效难度增大的背景下,展望了油气田地面工程最优化方法的发展方向,提出融合人工智能、大数据等技术进行“AI+”智能化研究是未来重要的创新方向,可以在广义优化模型建立、数据挖掘驱动优化方法研究、动态优化方法构建等方面进行攻关突破。研究成果可为油气田地面工程最优化方法及技术的智能化发展提供参考,促进油气田节能减排。(图1,参41)
Most of the energy-saving and efficiency-improving problems of oil and gas field surface engineering can be attributed to the optimization of conditional extreme values.Applying the optimization methods for the optimal design of the production and construction schemes for oil and gas field surface engineering has become an important supporting way to achieve the goal of“dual carbon”.Herein,the important progress of optimization research for the gathering,water injection and supporting engineering systems of oil and gas field surface engineering was summarized.Meanwhile,the theoretical results of the overall optimization for oil and gas field surface engineering in the new stage of energy-saving and efficiency-improving,as well as the optimization of surface and underground integration,were reviewed,and the problems to be solved urgently in the research of optimization models and solution methods were discussed.In the context of stricter carbon reduction policy and increasing difficulty in energy-saving and efficiency-improving,the development direction of optimization methods for oil and gas field surface engineering was prospected.Moreover,it was pointed out that the“artificial intelligence plus(AI+)”research by integrating artificial intelligence and big data would be an important innovation direction in the future,and efforts could be made in the establishment of generalized optimization models,the research on data mining-driven optimization methods,and the construction of dynamic optimization methods.In general,the research results could provide reference for the intelligent development of optimization methods and technologies for oil and gas field surface engineering,thus promoting the energy conservation and emission reduction in oil and gas fields.(1 Figure,41 References)
作者
陈双庆
CHEN Shuangqing(School of Petroleum Engineering,Northeast Petroleum University;Post-Doctoral Research Center,Daqing Oilfield Co.Ltd.)
出处
《油气储运》
CAS
北大核心
2022年第7期765-772,共8页
Oil & Gas Storage and Transportation
基金
国家自然科学基金面上项目“亚闭环油气网络系统整体运行优化及其智能化研究”,52074090
国家自然科学基金青年科学基金资助项目“面向智能决策的多级可变原油集输网络系统布局重构优化模型与方法”,52104065。
关键词
油气田地面工程
“双碳”
最优化方法
节能提效
“AI+”
oil and gas field surface engineering
carbon peaking and carbon neutrality
optimization methods
energy-saving and efficiency-improving
“AI+”
