A new experimental and modeling strategy to determine asphaltene precipitation in crude oil-Reference-Cited by-同舟云学术

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A new experimental and modeling strategy to determine asphaltene precipitation in crude oil

Published:2017-12 Issue: Volume:128 Page:162-173
ISSN:0263-8762
Container-title:Chemical Engineering Research and Design
language:en
Short-container-title:Chemical Engineering Research and Design

Author:

Sayyad Amin Javad,Nikkhah Somayye,Zendehboudi Sohrab

Funder

Natural Sciences and Engineering Research Council of Canada

Research and Development Corporation (RDC) of Newfoundland and Labrador

Statoil Canada

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry

Reference61 articles.

1. Prediction of asphaltene precipitation using artificial neural network optimized by imperialist competitive algorithm

2. New approach for prediction of asphaltene precipitation due to natural depletion by using evolutionary algorithm concept

3. Methodology for the Characterization and Modeling of Asphaltene Precipitation from Heavy Oils Diluted with n-Alkanes

4. Optimization of the Culture Medium Composition to Improve the Production of Hyoscyamine in Elicited Datura stramonium L. Hairy Roots Using the Response Surface Methodology (RSM)

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3. Comparative Static and Dynamic Analyses of Solvents for Removal of Asphaltene and Wax Deposits above- and below-Surface at an Iranian Carbonate Oil Field;ACS Omega;2023-07-06

4. Full-Scale Experimental Study on the Effect of CO₂ Flooding on Storage-Seepage Capacity of Tight Sandstone Reservoirs;ACS Omega;2023-03-22

5. Experimental Investigation of Asphaltene Deposition Remediation in Northern Iraqi Fields Using Green Metal Oxide Nanofluids/chemicals as Dispersants;Day 3 Wed, March 15, 2023;2023-03-13

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