Brine–Oil Interfacial Tension Modeling: Assessment of Machine Learning Techniques Combined with Molecular Dynamics
Author:
Affiliation:
1. Instituto de Fı́sica, DFMT, Universidade de São Paulo, CP 66318, 05315-970 São Paulo, SP, Brazil
2. Centro de Ciências Naturais e Humanas, Universidade Federal do ABC, 09210-580 Santo André, SP, Brazil
Funder
Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico
Funda??o de Amparo ? Pesquisa do Estado de S?o Paulo
Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior
Petrobras
Publisher
American Chemical Society (ACS)
Subject
General Materials Science
Link
https://pubs.acs.org/doi/pdf/10.1021/acsami.9b22189
Reference63 articles.
1. An Overview of Oil Production Stages: Enhanced Oil Recovery Techniques and Nitrogen Injection
2. Recovery rates, enhanced oil recovery and technological limits
3. Polymeric surfactants for enhanced oil recovery: A review
4. From Atoms to Pre-salt Reservoirs: Multiscale Simulations of the Low-Salinity Enhanced Oil Recovery Mechanisms
5. Low Salinity as New Technique of Enhanced Oil Recovery
Cited by 17 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. Machine learning approaches for estimating interfacial tension between oil/gas and oil/water systems: a performance analysis;Scientific Reports;2024-01-09
2. Machine-Learning-Assisted Investigation of the Diffusion of Hydrogen in Brine by Performing Molecular Dynamics Simulation;Industrial & Engineering Chemistry Research;2023-12-04
3. Synergistic Interaction of Hyperbranched Polyglycerols and Cetyltrimethylammonium Bromide for Oil/Water Interfacial Tension Reduction: A Molecular Dynamics Study;The Journal of Physical Chemistry B;2023-10-23
4. Interfacial Tension–Temperature–Pressure–Salinity Relationship for the Hydrogen–Brine System under Reservoir Conditions: Integration of Molecular Dynamics and Machine Learning;Langmuir;2023-08-31
5. Surface Elemental Analysis of a Crude Oil-Modified Seawater–Carbonate Rock System;Energy & Fuels;2023-06-26
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