Deep learning-based sensitivity analysis of the effect of completion parameters on oil production-Reference-Cited by-同舟云学术

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Deep learning-based sensitivity analysis of the effect of completion parameters on oil production

Published:2022-02 Issue: Volume:209 Page:109906
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Tatsipie Nelson R.K.,Sheng James J.^ORCID

Funder

North Dakota Industrial Commission

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference36 articles.

1. Real-time Malaysian sign language translation using color segmentation and neural network;Akmeliawati,2007

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3. Neural Networks with R;Ciaburro,2017

4. Estimating porosity of sedimentary rocks from bulk density;Davis;J. Geol.,1954

5. A Special focus on formation damage in unconventional reservoirs: dynamic production;Davudov,2018

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1. Sensitivity analysis of similarity learning models for well-intervals based on logging data;Geoenergy Science and Engineering;2024-07

2. Research on Productivity Prediction Model of Three-Dimensional Directional Wells in Different Reservoirs;Journal of Energy Engineering;2023-08

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