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Integrated phase behaviour modelling of fluids in reservoir-surface processes using equation of state

机译:利用状态方程对储层表面过程中流体的整体相行为建模

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Compositional reservoir simulation is widely used in the design of improved oil recovery (IOR) schemes, in particular for gas injectionand gas cycling studies. An integrated modelling approach, using a single equation of state (EOS), to describe fluid phase behaviour and properties within the reservoir, flow lines and process facilities is an attractive option for reservoir management. Low computational times for flash calculations is an improtant element in compositional reservoir simulation. Grouping of fluid components reduces the computational time, but the approach is not suitable for the integrated modelling, where detailed compositional information on produced reservoir fluids may be required in the design and operation of fluid processes at the surface. If binary interaction parameters (BIP's) are not used in an equation of state, the number of equations in phase equilibrium calculations will reduce to three, regardless of the number of components. This will reduce the computational time markedly. However, the current practice in the industry is to calibrate, or tune, EOS models against experimental data by mainly adjusting BIP's. In this paper, based on the approach which avoids using BIP's, a rapid flash calculation method has been evaluated and its convergence has been imporved for gas condensate reservoirs. To imprve the EOS prediction within a wide range of temperature, the temperature dependency function of the attraction term (#alpha#) was also modified. A practical tuning method has been develped which is consistent with the proposed #alpha# function. The presented integrated tuning method can be applied to match the experimental data of different types of fluids within wide ranges of temperature and compositional changes using any EOS. The reliability of the proposed method and the associated saving in computing time, in comparison with conventional methods, are demonstrated in this work for a variety of fluids.
机译:成分储层模拟被广泛用于改进采油率(IOR)方案的设计中,尤其是用于注气和气体循环研究。使用单个状态方程(EOS)来描述储层,流线和过程设施内的流体相行为和特性的集成建模方法对于储层管理是一种有吸引力的选择。闪速计算的低计算时间是组成油藏模拟中的重要因素。流体成分的分组减少了计算时间,但是该方法不适用于集成建模,因为在地层流体过程的设计和操作中可能需要有关产出的储层流体的详细组成信息。如果状态方程式中未使用二元相互作用参数(BIP),则无论组件数量如何,相平衡计算中的方程式数量都会减少到三个。这将显着减少计算时间。但是,该行业当前的做法是主要通过调整BIP来根据实验数据校准或调整EOS模型。本文基于避免使用BIP的方法,对快速闪蒸计算方法进行了评估,并提高了其在凝析气藏中的收敛性。为了在较宽的温度范围内提高EOS预测,还修改了吸引力项(#alpha#)的温度依赖性函数。开发了一种实用的调整方法,该方法与建议的#alpha#函数一致。所提出的集成调整方法可用于在任何温度范围内使用任何EOS来匹配不同类型流体在宽温度范围和成分变化范围内的实验数据。与常规方法相比,该方法针对各种流体证明了所提方法的可靠性以及相关的计算时间节省。

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