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Development and Application of an Asphaltene Deposition Tool (ADEPT) for Well Bores

机译:井筒沥青沉积工具(ADEPT)的开发与应用

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摘要

Asphaltenes often tend to deposit in reservoirs, flow lines, separators, and other systems along production lines causing significant production loss due to restricted oil flow or damages caused to the units and instruments used along the flow lines. Asphaltenes are typically stable in die oil; however, changes in conditions such as temperature or pressure or compositional changes can trigger the phase separation and resultant deposition of these asphaltenes on the surfaces encountered along the flow. Hence, it is required to be able to forecast the possibility of precipitation of asphaltenes for given operating conditions and quantify the amount of deposition. In this work, the development of an asphaltene deposition tool (ADEPT) that can predict the occurrence and calculate the magnitude and profile of asphaltene deposition in a well bore is discussed. The simulator consists of a thermodynamic module and a deposition module. The thermodynamic module uses the Perturbed Chain Statistical Associating Fluid Theory (PC SAFT) equation of state to describe the phase behavior of oil, which is first characterized by using thermodynamic properties such as saturation points and asphaltene onset pressure data and physical properties such as the density of die oil The deposition module is then used along with input from the thermodynamic module to calculate magnitude of asphaltene deposition along the length of well bore/pipe lines. The mathematical model used in the deposition module is first benchmarked and validated by comparing the simulation results against the experimentally measured asphaltene deposition flux in a capillary scale deposition experiment. The simulator was then used to study deposition in two field cases, for which measurements of asphaltene deposition profile were reported in the literature. This study demonstrates the development and application of a simple yet comprehensive simulator that can be easily integrated with other commercial Bow simulators, facilitating quick calculations of the change in the asphaltene deposition profile and magnitude with change in operating conditions as the production continues. It is shown that the simulator enables operators to perform quick sensitivity studies and map out operating envelopes to avoid potential risk zones.
机译:沥青质通常倾向于沿生产线沉积在储层,流水线,分离器和其他系统中,由于油流受限或沿流水线使用的设备和仪器造成损坏,从而导致大量生产损失。沥青质通常在模具油中稳定;但是,温度或压力等条件的变化或组成的变化会触发相分离,并导致这些沥青质在沿流动遇到的表面上沉积。因此,需要能够在给定的操作条件下预测沥青质沉淀的可能性并量化沉积量。在这项工作中,讨论了一种沥青质沉积工具(ADEPT)的开发,该工具可以预测井眼中沥青质沉积的发生并计算其大小和分布。该模拟器由热力学模块和沉积模块组成。热力学模块使用扰动链统计缔合流体理论(PC SAFT)状态方程来描述油的相态,该相态首先通过使用热力学性质(例如饱和点和沥青质起始压力数据)以及物理性质(例如密度)来表征。然后,将沉积模块与热力学模块的输入一起使用,以计算沿井筒/管道长度方向的沥青质沉积量。首先将沉积模块中使用的数学模型进行基准测试,并通过将模拟结果与毛细管规模沉积实验中实验测得的沥青质沉积通量进行比较来进行验证。然后,该模拟器用于研究两个现场案例中的沉积,文献中报道了沥青质沉积剖面的测量结果。这项研究演示了一个简单而全面的模拟器的开发和应用,该模拟器可以轻松地与其他商用Bow模拟器集成在一起,从而随着生产的继续进行,有利于快速计算沥青质沉积曲线和幅度随操作条件的变化。结果表明,该模拟器使操作员能够进行快速敏感性研究并绘制工作范围,以避免潜在的危险区域。

著录项

  • 来源
    《Energy & fuels》 |2011年第sepaaocta期|p.4506-4516|共11页
  • 作者单位

    Department of Chemical and Bio-molecular Engineering, Rice University, Houston, Texas, United States;

    Department of Chemical Engineering, The Petroleum Institute, Abu Dhabi, United Arab Emerates;

    Chevron Energy Technology Company, Houston, Texas, United States;

    Petroluem Recovery Research Center, New Mexico Tech, Socorro, New Mexico, United States;

    Chevron Energy Technology Company, Houston, Texas, United States;

    Chevron Energy Technology Company, Houston, Texas, United States;

    Department of Chemical and Bio-molecular Engineering, Rice University, Houston, Texas, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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