Application of deep learning methods to estimate multiphase flow rate in producing wells using surface measurements-Reference-Cited by-同舟云学术

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Application of deep learning methods to estimate multiphase flow rate in producing wells using surface measurements

Published:2021-10 Issue: Volume:205 Page:108936
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Alakeely A.A.,Horne R.N.

Funder

Saudi Aramco

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference22 articles.

1. Correlations Developed to Predict Two Phase Flow through Wellhead Chokes;Abdul-Majeed,1988

2. What regularized auto-encoders learn from the data-generating distribution;Alain;J Machine Lerarning Research,2014

3. Improving Multiphase Choke Performance Prediction and Well Production Test Validation Using Artificial Intelligence: A New Milestone;AlAjmi,2015

4. Simulating the Behavior of Reservoirs with Convolutional and Recurrent Neural Networks;Alakeely,2020

5. New Multiphase Choke Correlations for Kuwait Fields;Alrumah,2007

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