海上油田生产动态可视化仿真技术研究

发布时间：2018-04-19 05:19

本文选题：海上油田 + 生产动态分析　；参考：《中国石油大学(华东)》2015年硕士论文

【摘要】：为了提高海上平台生产管理水平,实现生产效益最大化,迫切需要建立一套海上油田生产动态管理系统,可以让管理者及时了解到海上油田的生产动态,分析引起产量变化的原因,并及时诊断生产系统中存在的问题。本文首先对系统仿真理论进行了研究,在此基础之上利用节点分析法将海上油田生产系统的分成了地层子系统、井筒管流子系统、电潜泵子系统和油嘴子系统,并建立了对应的数学模型和仿真模型:油井产能预测模型、油井井筒多相管流模型、电潜泵系统模型和油嘴流动模型。然后,对油田生产动态分析理论进行了详细的研究,提出了将BP神经网络应用于海上油田生产动态预测之中,并建立了预测模型。在海上油田生产过程中存在着各种各样的不确定性因素,且每个影响因素又存在不同程度上的不确定性,因此将模糊逻辑理论应用于海上油田生产动态分析之中,建立了基于模糊综合评价法的海上油田生产动态分析模型。最后,采用高级编程语言将本文研究的整体思路以B/S(Browser/Server)模式软件的形式实现出来,形成了海上油田生产动态管理系统。通过实例分析,该软件能够很好地实现生产动态的可视化,且本文提出的方法可以被应用于海上油田生产动态分析之中。
[Abstract]:In order to improve the production management level of offshore platform and realize the maximization of production benefit, it is urgent to establish a set of production dynamic management system for offshore oil fields, which can let managers know the production dynamics of offshore oil fields in time.Analyze the cause of yield change and diagnose the problems in production system in time.In this paper, the theory of system simulation is studied firstly. Based on this, the offshore oilfield production system is divided into formation subsystem, wellbore pipe flow subsystem, electric submersible pump subsystem and oil nozzle subsystem by using node analysis method.The corresponding mathematical models and simulation models are established: well productivity prediction model, well bore multiphase pipe flow model, electric submersible pump system model and oil nozzle flow model.Then, the theory of oil field production performance analysis is studied in detail, and the BP neural network is applied to the offshore oilfield production performance prediction, and the prediction model is established.There are a variety of uncertain factors in the production process of offshore oil fields, and each influencing factor has different degree of uncertainty. Therefore, fuzzy logic theory is applied to the analysis of offshore oilfield production performance.The production performance analysis model of offshore oil field based on fuzzy comprehensive evaluation method is established.Finally, the whole idea of this paper is realized in the form of B / S browser / Server model software by using advanced programming language, and the offshore oilfield production dynamic management system is formed.Through the example analysis, the software can realize the visualization of the production dynamic very well, and the method proposed in this paper can be applied to the production dynamic analysis of offshore oil field.
【学位授予单位】：中国石油大学(华东)
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE53

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