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Molecular Weight Correlation for Crude Oil in the Fields of Saudi Arabia

机译:沙特阿拉伯田地原油的分子量相关性

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Molecular weight determination of crude oil samples is an important factor in the process of oil production in any oil field. This paper shows an experimental study to develop a correlation that numerically predicts the molecular weight of any crude oil sample with a known density. The current method used in the laboratory to test the crude oil samples for average molecular weight value is the freezing point depression method, which is implemented in an automated cryometer 1 . This method takes a relatively long time to perform. The use of the developed correlation will help in predicting a numerical estimation of the expected average molecular weight value for each tested sample. It will also help as a quality check step on the values we get from the performed experiment. Moreover, if this correlation continues to give accurate results, it can be used as an alternative method to the laboratory test. The author carefully analyzed experimental data of average molecular weight as well as density to look for a correlation that relates both quantities. The analyzed data was of crude oil samples from thirty different fields in the Saudi Arabian region. This analysis required assuming that density is the only factor affecting the molecular weight value at constant temperature and pressure. After analyzing all the experimental data generated in the laboratory, we successfully developed a correlation that gives accurate and comparable results within 2% average error to the obtained experimental values. These results were found for samples from several but not all of the Saudi Arabian fields. The study did not include new exploration fields or fields with insufficient data. Furthermore, this study concentrates solely on black oil samples and excludes gas condensate samples.
机译:原油样品的分子量测定是任何油田油生产过程中的一个重要因素。本文显示了一种实验研究,以发展具有数值预测与已知密度的任何原油样品的分子量的相关性。实验室中使用的目前方法用于测试均分子量值的原油样品是凝固点凹陷方法,其在自动冷冻仪1中实现。此方法需要相对较长的时间来执行。发布的相关性的使用将有助于预测每个测试样品的预期平均分子量值的数值估计。它还可以帮助您从所执行的实验中获得的值的质量检查步骤。此外,如果这种相关性继续提供准确的结果,可以用作实验室测试的替代方法。作者仔细分析了平均分子量的实验数据以及密度,以寻找与两种数量相关的相关性。分析的数据是沙特阿拉伯地区三十个不同领域的原油样本。这种分析需要假设密度是影响恒温和压力下的分子量值的唯一因素。在分析实验室中产生的所有实验数据后,我们成功地开发了一种相关性,其在所获得的实验值的平均误差平均误差内得到准确和可比的结果。发现这些结果是来自几个但不是所有沙特阿拉伯领域的样本。该研究没有包括数据不足的新探索字段或字段。此外,该研究仅浓缩黑色油样品并排除气体冷凝物样品。

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