Complete EOS Thermal Formulation for Simulation of CO2 Storage

A. Moncorgé, M. Petitfrère, S. Thibeau
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Abstract

Storage of CO2 in depleted gas reservoirs or large aquifers is one of the available solutions to reduce anthropogenic greenhouse gas emissions. Numerical modeling of these processes requires the use of large geological models with several orders of magnitude of variations in the porous media properties. Moreover, modeling the injection of highly concentrated and cold CO2 in large reservoirs with the correct physics is introducing numerical challenges that conventional reservoir simulators cannot handle. We propose a thermal formulation based on a full equation of state formalism to model pure CO2 and CO2 mixtures with the residual gas of depleted reservoirs. Most of the reservoir simulators model the phase-equilibriums with a pressure-temperature based formulation. With this usual framework, it is not possible to exhibit two phases with pure CO2 contents. Moreover, in this classical framework, the crossing of the phase envelope is associated with a large discontinuity in the enthalpy computation which can prevent the convergence of the energy conservation equation. In this work, accurate and continuous phase properties are obtained basing our formulation on enthalpy as a primary variable. We first implement a new phase-split algorithm with input variables as pressure and enthalpy instead of the usual pressure and temperature and we validate it on several test cases. This algorithm can model situations where the mixture can change rapidly from one phase to the other at constant pressure and temperature. Then treating enthalpy instead of temperature as a primary variable in both the reservoir and the well modeling algorithms, our reservoir simulator can model situations with pure or near pure components as well as crossing of the phase envelope that usual formulations implemented in reservoir simulators cannot handle. We first validate our new formulation against the usual formulation on a problem where both formulations can correctly represent the physics. Then we show situations where the usual formulations fail to represent the correct physics and that are simulated well with our new formulation. Finally, we apply our new model for the simulation of pure and cold CO2 injection in a real depleted gas reservoir from the Netherlands.
完整的EOS热公式模拟二氧化碳储存
在枯竭的气藏或大型含水层中储存二氧化碳是减少人为温室气体排放的可用解决方案之一。这些过程的数值模拟需要使用具有多孔介质性质几个数量级变化的大型地质模型。此外,利用正确的物理模型对大型油藏中高浓度冷CO2的注入进行建模,带来了传统油藏模拟器无法应对的数值挑战。我们提出了一个基于完全状态方程形式的热公式来模拟纯二氧化碳和二氧化碳与枯竭储层残余气的混合物。大多数油藏模拟器采用基于压力-温度的公式来模拟相平衡。在这种通常的框架下,不可能表现出纯二氧化碳含量的两相。此外,在这个经典框架中,相包络线的交叉与焓计算中的大不连续有关,这可能会阻止能量守恒方程的收敛。在这项工作中,我们的公式以焓为主要变量,得到了准确和连续的相性质。我们首先实现了一个新的分相算法,输入变量为压力和焓,而不是通常的压力和温度,我们在几个测试用例中验证了它。该算法可以模拟混合物在恒定压力和温度下从一种相迅速转变为另一种相的情况。然后将焓而不是温度作为油藏和井建模算法中的主要变量,我们的油藏模拟器可以模拟纯或接近纯成分的情况,以及油藏模拟器中常用公式无法处理的相包络线交叉。我们首先验证我们的新公式与通常的公式在一个问题上,这两个公式都可以正确地表示物理。然后,我们展示了通常的公式不能代表正确物理的情况,我们的新公式很好地模拟了这些情况。最后,我们将新模型应用于荷兰一个实际枯竭气藏的纯冷CO2注入模拟。
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