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A New Three-Phase Multicomponent Compositional Model for Asphaltene Precipitation Using CPA-EOS

机译:使用CPA-EOS的沥青质沉淀的新三相多组分组成模型

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Numerical modeling of asphaltene precipitation in petroleum reservoirs is important in relation to precipitation around the wellbore and in the reservoir domain. Production from some reservoirs results in asphaltene precipitation in the wellbore region, leading to production loss and need for cleanup. Fluid injection can also lead to injectivity loss due to asphaltene precipitation. There are also desirable processes in which precipitation of asphaltene can lead to “in-situ” upgrading of heavy oil recovery. Reservoir compositional models that are currently in use rely on cubic equations of state for asphaltene precipitation. The cubic equations, despite their relative reliability in describing reservoir fluids phase behavior, become unreliable in asphaltene-rich phase description. A number of non-cubic equations of state have been introduced to overcome the shortcomings of cubic equations. The cubic-plus-association equation of state (CPA-EOS) is perhaps the method of choice in modeling asphaltene precipitation in compositional modeling. When there is no asphaltene precipitation, the CPA-EOS becomes the standard cubic equation. In this work we implement the CPA-EOS in compositional modeling and introduce a simple technique to speed up considerably the root finding. Our efficient algorithm makes the additional cost from CPA- EOS insignificant. We also derive the basic equations for the total compressibility and total potential molar volume in our implementation of the CPA-EOS compositional modeling. Our new algorithm is introduced in a simple finite difference code. This work introduces a general framework for widespread use of the CPA-EOS in compositional modeling.
机译:石油储层中沥青质沉淀的数值模拟对于井筒周围的沉淀和储层结构域具有重要意义。一些水库的生产导致井筒区域中的沥青质沉淀,导致生产损失并需要清理。流体注入也可以导致由于沥青质沉淀而导致的注射损失。还存在理想的方法,其中沥青质的沉淀可以导致“原位”升级重油回收。目前正在使用的储层组成模型依赖于沥青质沉淀的立方方程。立方方程,尽管它们在描述储层流体相行为时具有相对可靠性,但在富含沥青质的相位描述中变得不可靠。已经引入了许多国家的非立方方程来克服立方方程的缺点。状态(CPA-EOS)的立方加协会方程可能是在组合物建模中建模沥青质沉淀的选择方法。当没有沥青质沉淀时,CPA-EOS成为标准立方式。在这项工作中,我们在组成建模中实施了CPA-EOS,并引入了一种简单的技术来加速根本发现。我们的高效算法从CPA - EOS微不足道的额外成本。我们还在我们实施CPA-EOS成分建模中获得了总压缩性和总潜在摩尔数量的基本方程。我们的新算法在简单的有限差分码中引入。这项工作介绍了一个广泛使用CPA-EOS在组成建模中的一般框架。

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