Adaptive neuro fuzzy inference system to predict average asphaltene particle diameter case study: in thermal de-asphalting process-Reference-Cited by-同舟云学术

Adaptive neuro fuzzy inference system to predict average asphaltene particle diameter case study: in thermal de-asphalting process

Published:2020-03-18 Issue:6 Volume:38 Page:542-549
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Sadi Maryam¹,Kananpanah Somayeh¹,Bayat Mahmoud¹

Affiliation:

1. Faculty of Research and Development in Downstream Petroleum Industry, Research Institute of Petroleum Industry (RIPI), Tehran, Iran

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2020.1769653

Reference18 articles.

1. Investigation on Asphaltene and Heavy Metal Removal from Crude Oil Using a Thermal Effect

2. Asphaltene removal from crude oil by means of ceramic membranes

3. Prediction of Asphaltene Self-Precipitation in Dead Crude Oil

4. Guner, E. 2003. Adaptive neuro fuzzy inference system applications in chemical processes. MSc Thesis. Middle East Technical University, Turkey.

5. Jang, J. S. R. 1992. Neuro fuzzy modeling: Architectures, analyses, and applications. PhD Thesis. University of California, Berkeley.

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