高频电磁加热稠油储层温度分布及其影响因素分析

王正旭, 高德利

王正旭, 高德利. 高频电磁加热稠油储层温度分布及其影响因素分析[J]. 石油钻探技术, 2020, 48(1): 90-97. DOI: 10.11911/syztjs.2019128
引用本文: 王正旭, 高德利. 高频电磁加热稠油储层温度分布及其影响因素分析[J]. 石油钻探技术, 2020, 48(1): 90-97. DOI: 10.11911/syztjs.2019128
WANG Zhengxu, GAO Deli. Temperature Distribution of Heavy Oil Reservoirs under High Frequency Electromagnetic Heating and an Analysis of Its Influencing Factors[J]. Petroleum Drilling Techniques, 2020, 48(1): 90-97. DOI: 10.11911/syztjs.2019128
Citation: WANG Zhengxu, GAO Deli. Temperature Distribution of Heavy Oil Reservoirs under High Frequency Electromagnetic Heating and an Analysis of Its Influencing Factors[J]. Petroleum Drilling Techniques, 2020, 48(1): 90-97. DOI: 10.11911/syztjs.2019128

高频电磁加热稠油储层温度分布及其影响因素分析

基金项目: 国家科技重大专项课题“复杂结构井、丛式井设计与控制新技术”(编号:2017ZX05009–003)、国家自然科学基金创新研究群体项目“复杂油气井钻井与完井基础研究”(编号:51821092)和国家电网公司总部科技项目“再电气化推进技术路线及应用政策研究”(编号:SGFJJY00GHJS1800087)联合资助
详细信息
    作者简介:

    王正旭(1987—),男,河北蔚县人,2013年毕业于河北联合大学石油工程专业,2016年获中国石油大学(北京)油气井工程专业硕士学位,在读博士研究生,主要从事油气井力学与控制方面的研究。E-mail:wzxyywzx@163.com

  • 中图分类号: TE357.4

Temperature Distribution of Heavy Oil Reservoirs under High Frequency Electromagnetic Heating and an Analysis of Its Influencing Factors

  • 摘要:

    为了准确分析高频电磁加热过程中影响稠油储层温度分布的因素,以电磁场和传热理论为基础,考虑稠油储层电导率、相对介电常数随频率变化,导热系数、比热容随温度变化的实际情况,建立了描述储层性质动态变化的数学模型,并采用多物理场模拟软件COMSOL求解数学模型,采用对比法分析了不同因素对温度分布的影响规律。计算分析发现:电磁波功率的提高有助于增大储层加热深度;较大的电磁波频率可引起波源附近储层温度升高,但温度随深度增大急剧下降;考虑储层性质动态变化时计算出的温度分布,与假设储层性质恒定时的计算结果存在差异;在一定变化范围内,储层温度值随相对介电常数和电导率增大而增大。研究结果表明,储层性质、电磁波功率和频率对储层的温度分布有明显影响,建立的考虑储层性质动态变化的数学模型为高频电磁加热稠油技术的现场应用提供了理论依据。

    Abstract:

    In order to accurately analyze the factors affecting the temperature distribution of heavy oil reservoirs during high frequency electromagnetic heating, a mathematical model with dynamically varied reservoir properties was established based on the theories of electromagnetic field and heat transfer. In this model, frequency dependence of electrical conductivity and the relative permittivity of heavy oil reservoirs were taken into consideration, along with the temperature dependence of thermal conductivity and specific heat. In addition, COMSOL software of was employed to develop a mathematical model. Finally, the influencing laws governing temperature variation factors were studied by a contrast method. The calculations reflect a direct correlation between electromagnetic wave power and reservoir heating depth, and they demonstrate that the increase of electromagnetic wave power helps to increase the heating depth of reservoir. Although large electromagnetic wave frequency can lead to high temperature area nearby the wave source, the temperature value decreases sharply with the increase of depth. The results of a temperature calculation considering the dynamic change of reservoir properties differ from those calculated based on the constant reservoir properties. Reservoir temperature increases with the relative permittivity and conductivity within a certain range of variation. The results show that reservoir properties, electromagnetic wave power and frequency have a significant impact on temperature distribution of the reservoir and perhaps are prime influencers. The mathematical model that takes into consideration the dynamic change of reservoir properties provides a theoretical basis for the field application of a high frequency electromagnetic heavy oil heating technology.

  • 图  1   电磁加热稠油储层示意

    Figure  1.   Schematic of heavy oil reservoir under electromagnetic heating

    图  2   电磁加热稠油储层三维几何模型

    Figure  2.   Three-dimensional geometric model of a heavy oil reservoir under electromagnetic heating

    图  3   电磁波频率对储层电导率和相对介电常数的影响

    Figure  3.   Changing laws of electric conductivity and relative permittivity of reservoir with frequency

    图  4   电磁波衰减示意

    Figure  4.   Schematic of electromagnetic waves attenuation

    图  5   电磁加热稠油储层物理网格划分

    Figure  5.   Grid partition of the heavy oil reservoir under electromagnetic heating

    图  6   电场分布模拟结果

    Figure  6.   Calculation results of electric field distribution

    图  7   储层温度随时间的变化规律

    Figure  7.   Changing relationship of reservoir temperature with time

    图  8   不同电磁波功率下储层温度分布三维图

    Figure  8.   Three-dimensional map of reservoir temperature distribution under different electromagnetic wave powers

    图  9   电磁波频率对储层温度分布的影响

    Figure  9.   The influence of electromagnetic wave frequency on reservoir temperature distribution

    图  10   储层电导率和相对介电常数随电磁波频率变化和恒定时的温度分布对比

    Figure  10.   A comparison of temperature distributions based on the constant and variable electrical conductivity and relative permittivity of reservoir with temperature

    图  11   储层导热系数和比热容随温度变化和恒定时的温度分布对比

    Figure  11.   A comparison of temperature distributions based on the constant and variable thermal conductivity and specific heat of reservoir with temperature

    图  12   储层相对介电常数对温度分布的影响

    Figure  12.   The influence of reservoir relative permittivity on temperature distribution

    图  13   储层电导率对温度分布的影响

    Figure  13.   The influence of reservoir electric conductivity on temperature distribution

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出版历程
  • 收稿日期:  2019-03-17
  • 修回日期:  2019-10-14
  • 网络出版日期:  2019-10-28
  • 刊出日期:  2019-12-31

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