Challenges in Simulation of Salt Clogging

M. Khosravi, Yao Xu, S. Mirazimi, E. Stenby, Wei Yan
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Abstract

Carbon sequestration in depleted reservoirs or aquifers is highly demanded but still faced with technical challenges in many aspects. Among them, losing well injectivity during the storage process is a major concern. This can be caused by salt deposited in the reservoir, particularly near the injection well, which may sometimes creep into the injection well. Therefore, it is desirable to estimate the amount and distribution of salt precipitation at the injection conditions for a smooth implementation of CO2 sequestration. In this paper, we investigate how much commercial software CMG-GEM can help the evaluation of salt precipitation. We first review the critical mechanisms involved in salt precipitation and then analyze the challenges in simulating these mechanisms. According to the literature, water saturation and saturation index are the two most influential parameters that control the amount and pattern of salt precipitation and clogging due to water vaporization. Their values are determined by the complex interplay between viscous force, gravity, the evaporation of water into the CO2 stream, the molecular diffusion of dissolved salt in the brine, and surface phenomena such as the spreading of a thin water film on the rock surface, the Marangoni convection, and disjoining suction. Here we investigate the challenges of simulating the aforementioned mechanisms as well as salt precipitation due to the backflow of brine toward the injection well. The surface-related phenomena are difficult to account for in simulation. However, the extent of the CO2 plume can be significantly underestimated if they are neglected. Although water vaporization, salt diffusion, and capillary pressure can be formally included in the simulation, it is arguable whether they always describe the actual phenomena adequately. In most cases of CO2 injection into an aquifer, water spreads all over the rock surface, which increases the rate of vaporization and surface-related phenomena, such as the Marangoni effect, dramatically. Marangoni turbulent fluxes originating from the unbalanced shear stresses on the interface can accelerate the mixing effect in homogenizing the ions composition, which results in self-enhanced salt precipitation via the thin brine film spreading on the rock surface. We examine different simulation techniques as remedies to mimic those phenomena.
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盐堵塞模拟中的挑战
枯竭水库或含水层的固碳需求很大,但在许多方面仍面临技术挑战。其中,储油过程中失去井的注入能力是一个主要问题。这可能是由于储层中的盐沉积造成的,特别是在注入井附近,有时可能会渗入注入井。因此,估计注入条件下盐沉淀的数量和分布,以顺利实施CO2封存是必要的。本文研究了商业软件CMG-GEM对盐降水评价的帮助程度。我们首先回顾了盐沉淀的关键机制,然后分析了模拟这些机制所面临的挑战。根据文献,含水饱和度和饱和指数是控制水化引起的盐沉淀和堵塞的数量和模式的两个最具影响力的参数。它们的值是由粘性力、重力、水蒸发到二氧化碳流、盐水中溶解盐的分子扩散和表面现象(如在岩石表面扩散的薄水膜、马兰戈尼对流和分离吸力)之间复杂的相互作用决定的。在这里,我们研究了模拟上述机制的挑战,以及由于盐水向注入井回流而导致的盐沉淀。与表面有关的现象在模拟中很难解释。然而,如果忽略它们,二氧化碳羽流的范围可能被大大低估。虽然水蒸发、盐扩散和毛细管压力可以正式地包括在模拟中,但它们是否总是能充分地描述实际现象是有争议的。在向含水层注入二氧化碳的大多数情况下,水会扩散到整个岩石表面,这大大增加了蒸发的速度和与表面相关的现象,如马兰戈尼效应。界面上不平衡剪应力产生的马兰戈尼湍流通量加速了离子组成均匀化的混合作用,通过在岩石表面铺展的薄盐水膜产生自增强的盐沉淀。我们研究了不同的模拟技术来模拟这些现象。
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