勘探与生产技术观察:智能水对于碳酸盐岩油藏 EOR 的前景

研究人员证实了原油的物理化学性质对于确定智能水提高石油采收率的有效性的重要性。

Jin Song 和 Sibani Lisa Biswal,莱斯大学

[编者注:这个故事的一个版本出现在 2020 年 8 月版 的 E&P中它最初于 2020 年 8 月 3 日出版。在此订阅该杂志 。] 

碳酸盐岩油藏的 EOR 面临着挑战,碳酸盐岩油藏拥有世界石油储量的 60% 以上。碳酸盐岩储层通常是油湿的,这意味着石油更喜欢与矿物表面紧密结合,因此无法通过注水等主要采油方法有效地驱替。该行业在改变碳酸盐的亲油性以提高石油采收率方面已经取得了巨大进步。“智能水”已成为一种实现润湿性改变的低成本且有前景的技术。

研发力度

智能水通常是指具有特定成分的低盐度盐水,可以改变岩石润湿性并提高石油采收率。与化学注入等其他 EOR 方法不同,智能水务更简单,所需的资本投资也低得多。20 世纪 90 年代,当海水被注入北海 Ekofisk 油田时,据报道获得了惊人的高采收率,此方法开始受到碳酸盐岩储层的广泛关注。海水盐度远低于油藏地层卤水,低盐度被认为是成功的关键原因。

尽管实验室和油田都取得了一些成功,但人们发现智能水务的有效性并不一致。许多研究人员报告称,智能水对于提高石油采收率无效。此外,智慧水务的底层工作机制仍存在争议。

研究结果

休斯敦莱斯大学进行的研究的动机是需要有效评估智能注水对任何原油的好处,并更清楚地了解智能注水 EOR 的基本工作机制。对多个油田的原油样品进行综合评估后,确定智能水的 IOR (%) 与石油的某些理化性质相关。

在最近的工作中,莱斯研究人员全面表征并测试了来自世界各地不同碳酸盐储层的六种原油:中东、墨西哥湾和马来西亚。开发了添加沥青质的模型油作为对照案例进行比较。测量的原油性质包括总酸值、饱和芳香树脂沥青质分馏、沥青质不稳定性、盐水中的zeta电位、盐水中的界面张力、油包水含量和水溶性有机物含量。此外,在高盐度和低盐度盐水中进行了自发渗吸测试,以研究低盐度盐水对七种油中的每一种的有效性。

七个印第安纳石灰岩岩心被石油饱和并老化。然后,首先将岩心浸入 22.6% 氯化钠 (NaCl)(高盐度)中,然后浸入 194 F 的 1% NaCl(低盐度)中进行自发渗吸。

分析了自吸采油率与不同原油特性之间的相关性。低盐度盐水中油岩界面之间的静电排斥程度一直是一种流行的假设机制,作为控制智能水 EOR 的关键参数。令人惊讶的是,额外的石油采收率和石油 zeta 电位之间没有相关性,而 zeta 电位表征了原油和岩石表面之间的静电斥力。然而,低盐度水中的油界面活性会影响低盐度引起的润湿性改变过程(图1)。

低盐度注水

资料来源:莱斯大学

这一观察结果还通过研究其他两个特性得到了支持:油包水含量和水溶性有机物的含量。对于表面活性更高的油,这两个测量值都应该更高。正如预期的那样,这两种石油特性也与额外石油采收率存在类似的相关性。有趣的是,通过低温透射电子显微镜(cryo-TEM)观察到油中的乳化水滴在智能水中表现出高采收率。这证实了原油的物理化学特性在确定智能水的有效性方面的重要性。有了这些发现,公司可以通过使用智能水测试石油界面张力或油中水含量来快速筛选和估计特定油田的智能水潜力。与筛选智能水应用候选油田相关的费用可以显着减少。 

原文链接/hartenergy

E&P Tech Watch: The Promise of Smart Water for EOR in Carbonate Reservoirs

Researchers confirm the importance of the physicochemical properties of crude oil in determining the effectiveness of smart water to improve oil recovery.

Jin Song and Sibani Lisa Biswal, Rice University

[Editor's note: A version of this story appears in the August 2020 edition of E&P. It was originally published Aug. 3, 2020. Subscribe to the magazine here.] 

EOR is challenging in carbonate reservoirs, which hold more than 60% of the world’s oil reserves. Carbonate reservoirs are oftentimes oil-wet, meaning that oil prefers to tightly associate with the mineral surface and thus cannot be efficiently displaced by primary oil recovery methods such as water injection. Tremendous strides have been made in the industry to alter the carbonates to be less oil-wet to improve oil recovery. “Smart water” has emerged as a low-cost and promising technology to achieve wettability alteration.

R&D efforts

Smart water typically refers to a low-salinity brine with a specified composition that can alter rock wettability and enhance oil recovery. Unlike other EOR methods, such as chemical injection, smart water is simpler and requires a much lower capital investment. This approach has started to receive much attention for carbonate reservoirs after a surprisingly high oil recovery was reported when seawater was injected into the Ekofisk oil field in the North Sea in the 1990s. The salinity of seawater is much lower than the formation brine in the reservoir, and the low salinity is considered a key reason for the success.

Although several successes have been reported in both laboratories and oil fields, the effectiveness of smart water was found to be inconsistent. Many researchers have reported smart water as ineffective in improving oil recovery. Moreover, the underlying working mechanism of smart water remains controversial.

Study results

Research conducted at Rice University in Houston was motivated by the need to effectively evaluate the benefits of smart water injection for any crude oil as well as gain a clearer understanding of the fundamental working mechanism of smart water EOR. After performing a comprehensive evaluation of crude oil samples from multiple oil fields, it was determined that IOR (%) by smart water is correlated to certain physicochemical properties of the oil.

In recent work, Rice researchers fully characterized and tested six crude oils from various carbonate reservoirs around the world: the Middle East, the Gulf of Mexico and Malaysia. A model oil with added asphaltenes was developed to compare as a control case. The properties of the crude oils that were measured include total acid number, saturate-aromatic-resin-asphaltene fractionation, asphaltene instability, zeta potential in brines, interfacial tension in brines, water-in-oil content and water-soluble organics content. Furthermore, spontaneous imbibition tests were performed in high- and low-salinity brines to investigate how effective the low-salinity brine was for each of the seven oils.

Seven Indiana limestone cores were saturated and aged with the oils. Then the cores were immersed first in 22.6% sodium chloride (NaCl) (high salinity), then in 1% NaCl (low salinity) at 194 F for spontaneous imbibition.

The correlations between the oil recovery via spontaneous imbibition and different oil characteristics were analyzed. The degree of electrostatic repulsion between the oil-rock interface in low-salinity brines has been a popular hypothesized mechanism as the key parameter governing smart water EOR. Surprisingly, no correlation was found between additional oil recovery and oil zeta potential, which characterizes the electrostatic repulsion between the crude oil and rock surface. However, the oil interfacial activity in the low-salinity water is found to affect the low-salinity-induced wettability alteration process (Figure 1).

LOW-SALINITY WATER INJECTION

Source: Rice University

This observation also is supported by studying two other properties: water-in-oil content and the content of water-soluble organics. Both measurements should be higher for more surface-active oils. As expected, similar correlations to the additional oil recovery also were found for those two oil properties. Interestingly, emulsified water droplets were observed via cryogenic transmission electron microscopy (cryo-TEM) in oils that exhibited high oil recovery factors in smart water. This confirms the importance of the physicochemical properties of the crude oil in determining the effectiveness of smart water. With these findings, companies can quickly screen and estimate the smart water potential of a specific oil field by testing the oil interfacial tension or the water- in-oil content using smart water. Expenses associated with screening oilfield candidates for smart water applications can be significantly reduced.