Investigation of Smart Water Flooding in Sandstone Reservoirs: Experimental and Simulation Study Part2

Hasan N. Al-Saedi, R. Flori, Alsaba Mortadha
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引用次数: 10

Abstract

In this paper, we considered the effect of water chemistry on water-rock interactions during seawater and smart water flooding of reservoir sandstone cores containing heavy oil. Oil recovery, surface reactivity tests, and multicomponent reactive transport simulation using CrunchFlow were conducted to better understand smart water flooding. Secondary water flooding with FW at 25°C resulted in an ultimate oil recovery (UOR) of ~50% OOIP for all reservoir cores in this study. Formation water salinity was 104,550 ppm. FW was diluted twice to obtain SMW1. SMW2 was similar to SMW1 but depleted in divalent cations (Ca2+ and Mg2+). SMW3 was also similar to SMW1 but depleted in Mg2+ and SO42-, while SMW4 was the same as SMW1 but Ca2+ was diluted 100 times. Seawater salinity was 48300 ppm, which is close to the smart waters salinity (52275 ppm). No oil recovery was observed during SMW1 flooding, while softening SMW1 (SMW2) resulted in a significant additional oil recovery OOIP. Depleting Mg2+ and SO42- resulted in additional oil recovery but smaller than in SMW2. Diluting Ca2+ 100 times was the second best scenario coming after depleted Ca2+ in SMW2. The results of this study showed that the more diluted Ca2+ is in the injected brine, the more additional oil recovery that can be obtained, even though the other divalent/monovalent cations/anions were increased or decreased or even depleted. Other reservoir cores were allocated for surface reactivity test. The absence of an oil phase allows us to isolate the important water-rock reactions. The Ca2+, Mg2+, and SO42- effluents for all cores were matched using CrunchFlow, and then further investigations of the water-rock interactions were conducted. The reactive transport model showed that decreasing the Mg2+ concentration will decrease the number of the most effective kaolinite edges Si-O- and Al-O-, but was not as pronounced as that in present of Ca2+, which explains why lowering Mg2+ concentration gives lower additional oil recovery, and why lowering Ca2+ concentration gives higher additional oil recovery.
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砂岩油藏智能水驱研究:实验与模拟研究(二
本文考虑了含稠油砂岩储层岩心海水和智能水驱过程中水化学对水岩相互作用的影响。为了更好地理解智能水驱,使用CrunchFlow进行了采收率、表面反应性测试和多组分反应输运模拟。在本研究中,在25°C下使用FW进行二次水驱,所有储层岩心的最终采收率(UOR)达到了50% OOIP。地层水盐度为104550 ppm。FW稀释2倍得到SMW1。SMW2与SMW1相似,但缺乏二价阳离子(Ca2+和Mg2+)。SMW3也与SMW1相似,但Mg2+和SO42-含量减少;SMW4与SMW1相同,但Ca2+被稀释了100倍。海水盐度为48300 ppm,接近智能水的盐度(52275 ppm)。在SMW1驱油过程中没有观察到采收率,而软化SMW1 (SMW2)则显著提高了采收率OOIP。消耗Mg2+和SO42-可以提高采收率,但采收率低于SMW2。稀释Ca2+ 100倍是SMW2中Ca2+耗尽后的第二佳方案。本研究结果表明,注入盐水中Ca2+越稀释,即使其他二价/单价阳离子/阴离子增加或减少甚至耗尽,也可以获得更多的额外采收率。分配其他储层岩心进行表面反应性测试。油相的缺失使我们能够分离出重要的水岩反应。使用CrunchFlow对所有岩心的Ca2+、Mg2+和SO42-流出物进行匹配,然后进一步研究水岩相互作用。反应输运模型表明,降低Mg2+浓度会减少最有效的高岭石边缘Si-O-和Al-O-的数量,但不像Ca2+存在时那么明显,这解释了为什么降低Mg2+浓度会降低额外采收率,而降低Ca2+浓度会提高额外采收率。
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