Better use of experience from other reservoirs for accurate production forecasting by learn-to-learn method
Authors:
- Hao-Chen WangHWHao-Chen Wang
- Kai ZhangKZKai Zhang
- Nancy ChenNCNancy Chen
- Wen-Sheng ZhouWZWen-Sheng Zhou
- Chen LiuCLChen Liu
- Ji-Fu WangJWJi-Fu Wang
- Li-Ming ZhangLZLi-Ming Zhang
- Zhi-Gang YuZYZhi-Gang Yu
- Shi-Ti CuiSCShi-Ti Cui
- Mei-Chun YangMYMei-Chun Yang
Open Access
- 1 February 2024
- journal article
- research article
- Published by KEAI Publishing in Petroleum Science
- Vol. 21 (1) , 716-728
Abstract
No abstract availableKeywords
Funding Information
- Higher Education Discipline Innovation Project (B08028)
- Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China (2019KJH002)
- National Natural Science Foundation of China (51874335, 52074340, 52274057)
This publication has 9 references indexed in Scilit:
- Few-Sample Traffic Prediction With Graph Networks Using Locale as Relational Inductive BiasesIEEE Transactions on Intelligent Transportation Systems, 2022
- Multimodality in meta-learning: A comprehensive surveyKnowledge-Based Systems, 2022
- Production Forecasting with the Interwell Interference by Integrating Graph Convolutional and Long Short-Term Memory Neural NetworkSPE Reservoir Evaluation & Engineering, 2021
- Reservoir Production Prediction Model Based on a Stacked LSTM Network and Transfer LearningACS Omega, 2021
- Specific Emitter Identification With Limited Samples: A Model-Agnostic Meta-Learning ApproachIEEE Communications Letters, 2021
- Towards a new conceptualization of Learning to LearnAula Abierta, 2020
- Learning Deep Conditional Neural Network for Image SegmentationIEEE Transactions on Multimedia, 2019
- Meta-learning for time series forecasting and forecast combinationNeurocomputing, 2010
- On the numerical simulation of waterflooding of heterogeneous petroleum reservoirsComputational Geosciences, 1997