Evaluation of crude oil property using intelligence tool: fuzzy model approach

Chemical Engineering Research Bulletin Pub Date : 2011-09-30 DOI:10.3329/CERB.V15I1.7334

R. Abedini, M. Esfandyari, A. Nezhadmoghadam, H. Adib

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引用次数: 4

Abstract

Viscosity is one of the most important governing parameters of the fluid flow, either in the porous media or in pipelines. So it is important to use an accurate method to calculate the oil viscosity at various operating conditions. In the literature, several empirical correlations have been proposed for predicting undersaturated crude oil viscosity. However these correlations are not able to predict the oil viscosity adequately for a wide range of conditions. In present work, an extensive experimental data of undersaturated oil viscosities from different samples of Iranian oil reservoirs was applied to develop a Fuzzy model to predict and calculate the undersaturated oil viscosity. Validity and accuracy of these models has been confirmed by comparing the obtained results of these correlations and with experimental data for Iranian oil samples. It was observed that there is acceptable agreement between Fuzzy model results with experimental data. Key words: Viscosity; Correlation; Fuzzy model; undersaturated crude oil DOI: http://dx.doi.org/10.3329/cerb.v15i1.7334 Chemical Engineering Research Bulletin 15 (2011) 30-33

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基于智能工具的原油物性评价:模糊模型法

无论是在多孔介质中还是在管道中，粘度都是流体流动最重要的控制参数之一。因此，采用一种准确的方法来计算各种工况下的油粘度是非常重要的。在文献中，已经提出了几个经验相关性来预测不饱和原油粘度。然而，这些相关性不能在广泛的条件下充分预测油的粘度。本文利用伊朗不同油藏样品的大量不饱和油粘度实验数据，建立了预测和计算不饱和油粘度的模糊模型。通过将这些相关性得到的结果与伊朗石油样品的实验数据进行比较，证实了这些模型的有效性和准确性。结果表明，模糊模型计算结果与实验数据有较好的一致性。关键词:粘度;相关性;模糊模型;不饱和原油DOI: http://dx.doi.org/10.3329/cerb.v15i1.7334化学工程研究通报15 (2011)30-33

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Chemical Engineering Research Bulletin

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