Expertise-informed Bayesian convolutional neural network for oil production forecasting-Reference-Cited by-同舟云学术

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Expertise-informed Bayesian convolutional neural network for oil production forecasting

Published:2024-09 Issue: Volume:240 Page:213061
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Zang Jianpeng,Wang Jian^ORCID,Zhang Kai^ORCID,El-Alfy El-Sayed M.,Mańdziuk Jacek^ORCID

Publisher

Elsevier BV

Reference40 articles.

1. A data-driven deep sequence-to-sequence long-short memory method along with a gated recurrent neural network for wind power forecasting;Ahmad;Energy,2022

2. Simulating the behavior of reservoirs with convolutional and recurrent neural networks;Alakeely;SPE Reserv. Eval. Eng.,2020

3. Well predictive performance of play-wide and Subarea Random Forest models for Bakken productivity;Attanasi;J. Pet. Sci. Eng.,2020

4. Introduction to Time Series and Forecasting;Brockwell,2016

5. Data Driven Production Forecasting Using Machine Learning;Cao,2016

Cited by 1 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. A novel hybrid ANN-GB-LR model for predicting oil and gas production rate;Flow Measurement and Instrumentation;2024-12

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