Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids
Author:
Funder
Tomsk Polytechnic University
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference94 articles.
1. Real-time determination of rheological properties of spud drilling fluids using a hybrid artificial intelligence technique;Abdelgawad;J. Energy Resour. Technol. Trans. ASME.,2019
2. Statistical process control using optimized neural networks: A case study;Addeh,2014
3. Emulsified acid systems for oil well stimulation: A review;Adewunmi;J. Pet. Sci. Eng.,2022
4. High molecular weight copolymers as rheology modifier and fluid loss additive for water-based drilling fluids;Ahmad;J. Mol. Liq.,2018
5. Evolving smart approach for determination dew point pressure through condensate gas reservoirs;Ahmadi;Fuel,2014
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. Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern – a theoretical study;Expert Systems with Applications;2024-09
2. Combined deep-learning optimization predictive models for determining carbon dioxide solubility in ionic liquids;Journal of Industrial Information Integration;2024-09
3. A Statistics-Based Correlation for the Assessment of Water-Based Mud Performance: Yield Point Prediction;Arabian Journal for Science and Engineering;2024-08-19
4. Explainable machine-learning-based prediction of equivalent circulating density using surface-based drilling data;Scientific Reports;2024-08-01
5. The Application Potential of Artificial Intelligence and Numerical Simulation in the Research and Formulation Design of Drilling Fluid Gel Performance;Gels;2024-06-17
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