An artificial neural network approach to predict asphaltene deposition test result
Author:
Publisher
Elsevier BV
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy,General Chemical Engineering
Reference15 articles.
1. Asphaltene: A General Introduction;Wang,2000
2. Integration of Chromatographic and Spectroscopic Techniques for the Characterization of Residual Oils
3. Asphaltene Deposition Report to IOOC;Naseri,2011
4. A simple model for asphaltene deposition in petroleum mixtures
5. An analysis of methods for determination of onsets of asphaltene phase separations
Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Comparative study of machine learning algorithms in predicting asphaltene precipitation with a novel validation technique;Earth Science Informatics;2023-08-19
2. Integrated Machine Learning Model for Predicting Asphaltene Damage Risk and the Asphaltene Onset Pressure;Energy & Fuels;2022-11-10
3. The study of asphaltene desorption from the iron surface with molecular dynamics method;Journal of Molecular Liquids;2020-11
4. Application of intelligent models in reservoir and production engineering;Applications of Artificial Intelligence Techniques in the Petroleum Industry;2020
5. Combining of intelligent models through committee machine for estimation of wax deposition;Journal of the Chinese Chemical Society;2018-03-13
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3