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Paper
Title

Developing a Fuzzy Logic Model to Predict Asphaltene Precipitation during Natural Depletion based on Experimental Data

فصلنامه علوم و فناوری نفت و گاز، دوره: 4، شماره: 2
Year: 1394
COI: JR_IJOGST-4-2_004
Language: EnglishView: 252
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Authors

Mobina Mohammadi - Department of Petroleum Engineering, Petroleum University of Technology, Ahwaz, Iran
Riyaz Kharrat - Department of Petroleum Engineering, Petroleum University of Technology, Ahwaz, Iran
Abdonabi Hashemi - Department of Petroleum Engineering, Petroleum University of Technology, Ahwaz, Iran

Abstract:

Although the asphaltene problems have been studied for many years, there are numerous controversialissues around the nature of asphaltene. Since asphaltene precipitation imposes significant costs on oilindustry, a comprehensive research must be done to address the issues about asphaltene structures. Itis extremely important to investigate the behavior of asphaltene precipitation and ways to minimize itunder changeable effective thermodynamic factors such as pressure, temperature, and composition.In this work, natural depletion tests were performed at three different temperatures of 200, 170, and135 °F on Iranian heavy oil samples. At each step of the experiments, IP 143 standard test was used tomeasure the precipitated asphaltene. Then, a fuzzy logic model capable of predicting asphalteneprecipitation in a range of temperatures was developed. The fuzzy logic model predicts experimentaldata accurately. The obtained results were finally compared with a solid model using the commercialsoftware implementing the mentioned model, and it was concluded that there was good agreementbetween the fuzzy logic model and the simulation results.

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Paper COI Code

This Paper COI Code is JR_IJOGST-4-2_004. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/835367/

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Mohammadi, Mobina and Kharrat, Riyaz and Hashemi, Abdonabi,1394,Developing a Fuzzy Logic Model to Predict Asphaltene Precipitation during Natural Depletion based on Experimental Data,https://civilica.com/doc/835367

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The specifications of the publisher center of this Paper are as follows:
Type of center: دانشگاه دولتی
Paper count: 2,107
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