Predicting the performance of constant volume depletion tests for gas condensate reservoirs using artificial intelligence techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07682-8.pdf
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1. Novel robust Elman neural network-based predictive models for bubble point oil formation volume factor and solution gas–oil ratio using experimental data;Neural Computing and Applications;2024-05-08
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