Prakash Purswani, Russell T. Johns, Zuleima T. Karpyn
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Amott indices, however, provide an average measure of wettability because of their intrinsic dependence on a variety of factors such as the initial oil saturation, aging conditions, rock heterogeneity, etc. Thus, the use of Amott indices could potentially cloud the observed trends of residual saturation with wettability.</p><p>Using pore-network modeling (PNM), we show that <em>S<sub>or</sub></em> varies monotonically with the contact angle, which is a direct measure of wettability. That is, for fixed initial oil saturation, the <em>S<sub>or</sub></em> decreases monotonically as the reservoir becomes more water-wet (decreasing contact angle). Further, the calculation of Amott indices for the PNM data sets shows that a plot of the <em>S<sub>or</sub></em> vs. Amott indices also shows this monotonic trend, but only if the initial oil saturation is kept fixed. Thus, for the cases presented here, we show that there is no minimum residual saturation at mixed-wet conditions as wettability changes.</p><p>In this research, we employ a numerical approach to quantify trends of <em>S<sub>or</sub></em> against the traditional definition of wettability. Through the analysis of our numerical work and literature experiments, we find that under isolated conditions (constant initial saturation), linear trends exist between <em>S<sub>or</sub></em> and wettability. This can have important implications for low salinity waterflooding, water-alternating-gas enhanced oil recovery, or CO<sub>2</sub> sequestration where the effects of wettability are critical to understand phase trapping.</p>","PeriodicalId":22252,"journal":{"name":"SPE Journal","volume":"32 1","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Relationship Between Residual Saturations and Wettability Using Pore-Network Modeling\",\"authors\":\"Prakash Purswani, Russell T. Johns, Zuleima T. Karpyn\",\"doi\":\"10.2118/206379-pa\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The relationship between residual saturation and wettability is critical for modeling multiphase processes like enhanced oil recovery, CO<sub>2</sub> sequestration, and geologic storage of hydrogen. The wetting state of a core is often quantified through Amott indices, which are estimated from the ratio of the saturation fraction that flows spontaneously to the total saturation change that occurs due to spontaneous flow and forced injection. Observations from traditional coreflooding experiments show a minimum in the trends of residual oil saturation (<em>S<sub>or</sub></em>) around mixed-wet conditions. Amott indices, however, provide an average measure of wettability because of their intrinsic dependence on a variety of factors such as the initial oil saturation, aging conditions, rock heterogeneity, etc. Thus, the use of Amott indices could potentially cloud the observed trends of residual saturation with wettability.</p><p>Using pore-network modeling (PNM), we show that <em>S<sub>or</sub></em> varies monotonically with the contact angle, which is a direct measure of wettability. 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引用次数: 0
摘要
残余饱和度与润湿性之间的关系对于模拟提高石油采收率、二氧化碳封存和氢气地质封存等多相过程至关重要。岩心的润湿状态通常通过阿莫特指数来量化,该指数根据自发流动的饱和度部分与自发流动和强制注入引起的总饱和度变化之比估算得出。传统岩心注水实验的观察结果表明,在混湿条件下,残余油饱和度 (Sor) 的变化趋势最小。然而,由于阿莫特指数与多种因素(如初始油饱和度、老化条件、岩石异质性等)有内在的依赖关系,因此只能对润湿性进行平均测量。利用孔隙网络建模(PNM),我们发现 Sor 随接触角的变化而单调变化,而接触角是润湿性的直接衡量标准。也就是说,在初始含油饱和度固定的情况下,随着储层的水湿度增加(接触角减小),Sor 会单调地减小。此外,PNM 数据集的阿莫特指数计算表明,Sor 与阿莫特指数的关系图也显示出这种单调趋势,但前提是初始油饱和度保持固定。因此,对于本文介绍的情况,我们表明,随着润湿性的变化,在混湿条件下不存在最小残余饱和度。在这项研究中,我们采用了一种数值方法,对照润湿性的传统定义来量化 Sor 的趋势。通过对我们的数值工作和文献实验的分析,我们发现在孤立条件下(恒定的初始饱和度),Sor 和润湿性之间存在线性趋势。这对低盐度注水、水煤气强化采油或二氧化碳封存具有重要意义,因为在这些情况下,润湿性的影响对于理解相捕集至关重要。
Relationship Between Residual Saturations and Wettability Using Pore-Network Modeling
The relationship between residual saturation and wettability is critical for modeling multiphase processes like enhanced oil recovery, CO2 sequestration, and geologic storage of hydrogen. The wetting state of a core is often quantified through Amott indices, which are estimated from the ratio of the saturation fraction that flows spontaneously to the total saturation change that occurs due to spontaneous flow and forced injection. Observations from traditional coreflooding experiments show a minimum in the trends of residual oil saturation (Sor) around mixed-wet conditions. Amott indices, however, provide an average measure of wettability because of their intrinsic dependence on a variety of factors such as the initial oil saturation, aging conditions, rock heterogeneity, etc. Thus, the use of Amott indices could potentially cloud the observed trends of residual saturation with wettability.
Using pore-network modeling (PNM), we show that Sor varies monotonically with the contact angle, which is a direct measure of wettability. That is, for fixed initial oil saturation, the Sor decreases monotonically as the reservoir becomes more water-wet (decreasing contact angle). Further, the calculation of Amott indices for the PNM data sets shows that a plot of the Sor vs. Amott indices also shows this monotonic trend, but only if the initial oil saturation is kept fixed. Thus, for the cases presented here, we show that there is no minimum residual saturation at mixed-wet conditions as wettability changes.
In this research, we employ a numerical approach to quantify trends of Sor against the traditional definition of wettability. Through the analysis of our numerical work and literature experiments, we find that under isolated conditions (constant initial saturation), linear trends exist between Sor and wettability. This can have important implications for low salinity waterflooding, water-alternating-gas enhanced oil recovery, or CO2 sequestration where the effects of wettability are critical to understand phase trapping.
期刊介绍:
Covers theories and emerging concepts spanning all aspects of engineering for oil and gas exploration and production, including reservoir characterization, multiphase flow, drilling dynamics, well architecture, gas well deliverability, numerical simulation, enhanced oil recovery, CO2 sequestration, and benchmarking and performance indicators.