A novel formulation of RNN-based neural network with real-time updating – An application for dynamic hydraulic fractured shale gas production forecasting-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A novel formulation of RNN-based neural network with real-time updating – An application for dynamic hydraulic fractured shale gas production forecasting

Published:2024-02 Issue: Volume:233 Page:212491
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Xu Ziming^ORCID,Leung Juliana Y.^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

China Scholarship Council

Publisher

Elsevier BV

Reference53 articles.

1. Tensorflow: Large-Scale Machine Learning on Heterogeneous Distributed Systems;Abadi,2016

2. Strength, deformation and conductivity coupling of rock joints;Barton,1985

3. Canada energy regulator/Régie de l'énergie du Canada;CER,2022

4. Analysis of fracture interference – coupling of flow and geomechanical computations with discrete fracture modeling using MRST;Chen;J. Petrol. Sci. Eng.,2022

5. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling;Chung,2014

同舟云学术

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