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PCA: a tool for identification of chemical tracers for formation and injection waters associated with oil production

机译:PCA:一种用于识别与石油生产相关的地层和注入水的化学示踪剂的工具

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摘要

This study describes the use of Principal Component Analysis to evaluate the chemical composition of water produced from eight oil wells in three different production areas. A total of 609 samples of produced water, and a reference sample of seawater, were characterized according to their levels of salinity, calcium, magnesium, strontium, barium and sulphate (mg L-1) contents, and analyzed by using PCA with autoscaled data. The method allowed the identification of variables salinity, calcium and strontium as tracers for formation water, and variables magnesium and sulphate as tracers for seawater.
机译:这项研究描述了使用主成分分析来评估在三个不同生产区域的八个油井生产的水的化学组成。根据其盐度,钙,镁,锶,钡和硫酸盐(mg L-1)的含量,对总共609个采出水样品和参考海水样品进行了表征,并使用PCA和自动缩放数据进行了分析。 。该方法可以确定盐度,钙和锶等变量作为地层水的示踪剂,而变量镁和硫酸盐作为海水的示踪剂。

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