Applications of Advanced Polynomial Neural Networks for Prediction of Multi-well Reservoir Performance-Reference-Cited by-同舟云学术

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Applications of Advanced Polynomial Neural Networks for Prediction of Multi-well Reservoir Performance

Published:2008-01-24 Issue:5 Volume:30 Page:452-463
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Park H.-J.¹,Lim J.-S.²,Kang J. M.³

Affiliation:

1. a Research Institute of Energy & Resources , Seoul National University , Seoul , Korea

2. b Division of Ocean Development Engineering , Korea Maritime University , Busan , Korea

3. c School of Civil, Urban, and Geosystem Engineering , Seoul National University , Seoul , Korea

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567030600828867

Reference9 articles.

1. Multivariate Optimization of Networked Production Systems

Cited by 2 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. Quantitative Evaluation of Tight Sandstone Reservoirs Based on Data Mining Using MICP Data;Springer Series in Geomechanics and Geoengineering;2021

2. Multi-criterion Pareto based particle swarm optimized polynomial neural network for classification: A review and state-of-the-art;Computer Science Review;2009-02

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