A novel approach to sand production prediction using artificial intelligence
Author:
Publisher
Elsevier BV
Subject
Geotechnical Engineering and Engineering Geology,Fuel Technology
Reference28 articles.
1. Neural network based unified particle swarm optimization for prediction of asphaltene precipitation;Ahmadi;Int. J. Fluid Phase Equilib.,2012
2. Influence of sand production on pressure drawdown in horizontal wells: theoretical evidences;Almedeij;J. Pet. Sci. Eng.,2005
3. Application of a PSO-based neural network in analysis of outcomes of construction claims;Chau;J. Autom. Constr.,2007
4. Nonstationary hydrological time series forecasting using nonlinear dynamic methods;Coulibaly,2005
5. An improved PSO-based ANN with simulated annealing technique;Da;J. Neurocomput.,2005
Cited by 50 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. Assessing the viability of different bio-polymers and synthetic-copolymers with modified enzyme-induced carbonate precipitation solutions for sand consolidation applications;Journal of Petroleum Exploration and Production Technology;2024-08-20
2. Sand Production Prediction with Machine Learning using Input Variables from Geological and Operational Conditions in the Karazhanbas Oilfield, Kazakhstan;Natural Resources Research;2024-08-09
3. Prediction of wellbore sand production potential from analysis of petrophysical data coupled with field stress: a case study from the Shah-Deniz gas field (Caspian Sea Basin);Journal of Petroleum Exploration and Production Technology;2024-01-06
4. Sand particle characterization and identification in annular multiphase flow using an intelligent method;Physics of Fluids;2024-01-01
5. A bibliometric analysis on the relevancies of artificial neural networks (ANN) techniques in offshore engineering;Cogent Engineering;2023-08-07
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