“井联网”智能开采井身结构与水平井加密动态数值模拟研究

发布时间：2018-05-21 01:00

本文选题：井联网 + 智能开采　；参考：《青岛科技大学》2017年硕士论文

【摘要】：为提高开发页岩、致密或低渗透油气藏微纳孔隙介质储层的采收率,提出对油气井联网的智能开采技术的研究。本文在充分调研油气完井技术的基础上,综述了国内外智能完井技术的发展趋势、井间剩余油监测技术的研究进展及实时监测、地面测控以及远程遥控油气藏工程的应用水平。根据目前智能完井技术的发展现状以及常规完井技术亟待解决的关键技术问题,本论文设计了一种以油气井联网为基础的智能开采井身结构,主要有3点创新:(1)在井下安装流量、温度、压力以及声波传感器,通过井口无线网络实现数据的收集、打包、压缩、传输工作;(2)设计了井下智能滑套装置,便于分层采油、注水;(3)优化改进了井口采油树装置,实现节能降耗。通过设计和改进井身结构,最终实现井身结构智能化、采油产量最大化、生产装置节能化。本文利用ANSYS软件对井下智能滑套进行热-应力仿真分析,得到了在设定的温度和压力条件下智能滑套的应力、应变等数据结果。经过分析,智能滑套的强度满足设计要求,能够在高温、高压的环境下正常工作。利用ANSYS Workbench软件对井口采油树进行热—结构耦合仿真分析,根据仿真模拟的结果,对抽油井采油树结构做进一步温度、应力和应变分析,发现该结构满足设计要求与实际工作需求。本文通过建立井间参数反演和动态数值模拟模型,利用集合卡曼滤波的方法(EnKF)实现降噪、动态数值模拟井间剩余油的分布规律,研究了水平井加密可行性方案和不同油价下的盈亏平衡敏感分析。分析结果表明用油气“井联网”智能开采技术,能够动态监测井间剩余油,达到智能增产和提高采收率的目的。通过设计和研究以“井联网”为基础的智能开采技术,能够达到实时监测、环保降耗、动态调节地下井群等作用。相关的设计和分析理论为未来智能完井技术的发展提供重要的理论指导。
[Abstract]:In order to improve the recovery rate of shale, tight or low permeability reservoirs, the intelligent exploitation technology of oil and gas wells connected with network is proposed. Based on the investigation of oil and gas completion technology, this paper summarizes the development trend of intelligent completion technology at home and abroad, the development of cross-well residual oil monitoring technology and the application level of real-time monitoring, surface monitoring and remote control oil and gas reservoir engineering. According to the present development situation of intelligent completion technology and the key technical problems to be solved urgently in conventional completion technology, this paper designs an intelligent well structure based on oil and gas well networking. There are mainly 3 points of innovation: 1) installing flow, temperature, pressure and acoustic sensors in the downhole, collecting, packing, compressing and transmitting data through the wireless network at the wellhead.) designing a downhole intelligent slider to facilitate stratified oil recovery. Water injection 3) optimized and improved the well head oil recovery tree device to achieve energy saving and consumption reduction. By designing and improving the well structure, the intelligent well structure, the maximum oil production and the energy saving of the production equipment are realized. In this paper, ANSYS software is used to simulate and analyze the thermal stress of the intelligent slide sleeve, and the data of stress and strain are obtained under the condition of temperature and pressure. After analysis, the strength of the intelligent sliding sleeve meets the design requirements and can work normally under high temperature and high pressure. The ANSYS Workbench software is used to simulate and analyze the thermal-structural coupling of the well head oil recovery tree. According to the simulation results, the structure of the oil production tree in the pumping well is further analyzed by temperature, stress and strain analysis. It is found that the structure meets the design requirements and the actual work requirements. In this paper, by establishing cross-well parameter inversion and dynamic numerical simulation model, the method of aggregate Kalman filter is used to realize noise reduction and dynamic numerical simulation of the distribution of remaining oil between wells. The feasibility scheme of horizontal well infilling and the sensitivity analysis of break-even under different oil prices are studied. The analysis results show that the intelligent exploitation technology of oil and gas "well network" can dynamically monitor the remaining oil between wells and achieve the purpose of intelligently increasing production and increasing oil recovery. Through the design and research of intelligent mining technology based on "well networking", it can achieve real-time monitoring, environmental protection and consumption reduction, dynamic adjustment of underground wells and so on. Relevant design and analysis theories provide important theoretical guidance for the development of intelligent completion technology in the future.
【学位授予单位】：青岛科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TE37

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