Petroleum Production Forecasting Based on Machine Learning-Reference-Cited by-同舟云学术

Petroleum Production Forecasting Based on Machine Learning

Published:2019-11-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 3rd International Conference on Advances in Image Processing
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Author:

Liu Wei¹,Liu Wei David¹,Gu Jianwei¹

Affiliation:

1. School of Petroleum Engineering, China University of Petroleum (East China), Qingdao, China

Funder

National Major Science and Technology Projects of China

Publisher

ACM

Reference21 articles.

1. Application Research on Oil Production Forecasting Based on BP Neural Network [J];Zhou C.L;J Wuhan Univ Technol

2. Society of Petroleum Engineers Society of Petroleum Engineers H. Klie Physics-based and data-driven surrogates for production forecasting[C]//SPE Reservoir Simulation Symposium 2015

3. Analysis method of oilfield production performance based on BP neural network [J];Fan L.;Fault-Block Oil and Gas Field,2013

4. A new method to predict production of oilfields in ultrahigh water-cut stage [J];Zhong Y.H.;Fault-Block Oil and Gas Field,2011

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