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使用改进的地球化学模型研究原油性质对低盐度水驱过程中润湿性改变的影响。

Investigation of crude oil properties impact on wettability alteration during low salinity water flooding using an improved geochemical model.

作者信息

Ghorbani Maryam, Rashidi Fariborz, Mousavi-Dehghani Ali

机构信息

Petroleum Engineering Department, Amirkabir University of Technology, Tehran, Iran.

Chemical Engineering Department, Amirkabir University of Technology, Tehran, Iran.

出版信息

Sci Rep. 2022 Apr 22;12(1):6600. doi: 10.1038/s41598-022-10506-3.

Abstract

In low-salinity water flooding (LSWF), modifying the injected brine composition leads to greater oil recovery from carbonate reservoirs. The processes that control improved recovery during LSWF are not totally clear, which could lead to ambiguities in finding optimum brine composition regarding wettability alteration (WA) toward water wetness. One of the methods to determine WA is bound product sum (BPS) calculation using geochemical tools. In the case of wettability improvement, the BPS value of a crude oil-brine-rock (COBR) system should be at its minimum value. In this study, an improved geochemical model is developed, which includes the effects of oil composition (i.e., acid number, base number, and weight percent of nonhydrocarbon components) and physical properties of oil (i.e., density, viscosity, and solution gas-oil ratio) on COBR interactions. The proposed method generates BPS as a function of temperature, pressure, oil and brine composition, and pH for carbonate rocks. The model applicability was validated using several experimental data sets available in the literature. The results of the improved BPS model were in line with the results of contact angle and zeta potential measurements as the major indices of rock wettability. BPS calculations using the available geochemical tools sometimes failed to predict the correct WA trend since they overlooked the impact of oil properties on COBR interactions. The model predictability was also compared with the results of an available geochemical tool, PHREEQC, and the results demonstrate just how important the effect of oil properties and composition inclusion on wettability determination is. The improved BPS approach could be successfully utilized as an optimization tool to optimize the water composition during LSWF for a given COBR system.

摘要

在低盐度水驱(LSWF)过程中,改变注入盐水的成分可提高碳酸盐岩油藏的原油采收率。低盐度水驱过程中控制采收率提高的过程尚不完全清楚,这可能导致在寻找针对向水湿转变的润湿性改变(WA)的最佳盐水成分时产生模糊性。确定润湿性改变的方法之一是使用地球化学工具计算束缚产物总和(BPS)。在润湿性改善的情况下,原油-盐水-岩石(COBR)体系的BPS值应处于最小值。在本研究中,开发了一种改进的地球化学模型,该模型考虑了油的成分(即酸值、碱值和非烃组分的重量百分比)以及油的物理性质(即密度、粘度和溶解气油比)对COBR相互作用的影响。所提出的方法将BPS作为温度、压力、油和盐水成分以及碳酸盐岩pH值的函数生成。使用文献中可用的几个实验数据集对模型的适用性进行了验证。改进后的BPS模型的结果与作为岩石润湿性主要指标的接触角和zeta电位测量结果一致。使用现有的地球化学工具进行BPS计算有时无法预测正确的润湿性改变趋势,因为它们忽略了油的性质对COBR相互作用的影响。还将模型的预测能力与现有地球化学工具PHREEQC的结果进行了比较,结果表明油的性质和成分纳入对润湿性测定的影响是多么重要。改进后的BPS方法可成功用作优化工具,为给定的COBR体系优化低盐度水驱过程中的注水成分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e728/9033852/ec404f60a2b8/41598_2022_10506_Fig1_HTML.jpg

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