Evaluation of PC-SAFT model and Support Vector Regression (SVR) approach in prediction of asphaltene precipitation using the titration data
Author:
Publisher
Elsevier BV
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy,General Chemical Engineering
Reference41 articles.
1. Reservoir impairment by asphaltenes: a critical review;Eskin;Can. J. Chem. Eng.,2016
2. Experimental investigation and thermodynamic modeling of asphaltene precipitation;Jafari Behbahani;Sci. Iran.,2011
3. The concept of asphaltenes revisited;Speight;Fuel Sci. Technol. Int.,1996
4. Precipitation of asphaltenes from solvent-diluted heavy oil and thermodynamic properties of solvent-diluted heavy oil solutions;Anglea;Fuel,2006
5. Complex nature of separated solid phases from crude oils;Carbognani;Energy & Fuel,1999
Cited by 10 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. Hourly Rainfall Forecast Model Using Supervised Learning Algorithm;IEEE Transactions on Geoscience and Remote Sensing;2022
3. Synthesis of Fe3O4-Al2O3-ZnO/water ternary hybrid nanofluid: Investigating the effects of temperature, volume concentration and mixture ratio on Specific heat capacity, and development of Hybrid machine learning for prediction;Journal of Energy Storage;2021-09
4. A New Experimental and Modeling Investigation of Wax Precipitation in Pipelines Based on Asphaltene Content;Petroleum Chemistry;2020-12-15
5. A neural network-based predictive model for the thermal conductivity of hybrid nanofluids;International Communications in Heat and Mass Transfer;2020-12
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