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Static and Dynamic Comparison of Equation of State Solid Model and PC-SAFT for Modeling Asphaltene Phase Behavior

机译:沥青质相行为建模状态实体模型与PC-SAFT方程的静态和动态比较

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Asphaltene deposition is known to be one of the major problems in oil fields. Asphaltene precipitation and deposition from the reservoir fluid can block pore throats or change the formation wettability in the reservoir. Furthermore, asphaltene precipitation and deposition result in partial to total plugging in the wellbore. Recent studies have shown that PC-SAFT EOS is a more appropriate and comprehensive thermodynamic model for simulation of asphaltene precipitation. The main objective of this paper is to implement PC-SAFT EOS into a compositional wellbore simulator to model asphaltene precipitation. Flocculation and deposition models are also integrated with the thermodynamic model to simulate the dynamics of asphaltene deposition along the wellbore. In addition, the capabilities of PC-SAFT and common-used Peng-Robinson equation of state are compared through fluid characterization to reproduce experimental precipitation data. The simulation results indicate asphaltene deposition profile and consequent decline in production rate. It is shown that the profile of asphaltene deposition is mostly governed by the precipitation condition and the deposition rate. Moreover, prediction capability of cubic equation of state is shown to give approximately similar results if additional precipitation data is available (e.g. lower onset pressure and maximum amount of precipitation). The prediction results of the developed tool are highly crucial to monitor the well performance, optimize the operating conditions of the field, and propose the remediation technique.
机译:已知沥青质沉积是油田中的主要问题之一。沥青质沉淀和储存流体沉积可以阻断孔喉或改变储层中的形成润湿性。此外,沥青质沉淀和沉积导致井筒中的总堵塞部分。最近的研究表明,PC-SAFT EOS是一种更合适和全面的热力学模型,用于模拟沥青质沉淀。本文的主要目的是将PC-SAFT EOS进入组合井眼模拟器以模拟沥青质沉淀。絮凝和沉积模型也与热力学模型集成,以模拟沿井筒沥青质沉积的动态。此外,通过流体表征来再现实验降水数据,将PC-SAFT和共同使用的彭罗宾逊方程的能力进行比较。仿真结果表明了沥青质沉积曲线,从而降低了生产率。结果表明,沥青质沉积的轮廓主要由沉淀条件和沉积速率控制。此外,如果额外的降水数据可获得额外的降水数据(例如,降低发病压力和降水量的最大沉淀量,则显示状态的立方方程的预测能力。开发工具的预测结果对于监测井的性能,优化现场的操作条件,并提出了修复技术的高度至关重要。

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