A Data-Driven Oil Production Prediction Method Based on the Gradient Boosting Decision Tree Regression-Reference-Cited by-同舟云学术

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A Data-Driven Oil Production Prediction Method Based on the Gradient Boosting Decision Tree Regression

Published:2023 Issue:3 Volume:134 Page:1773-1790
ISSN:1526-1506
Container-title:Computer Modeling in Engineering & Sciences
language:en
Short-container-title:

Author:

Ma Hongfei,Zhao Wenqi,Zhao Yurong,He Yu

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Computer Science Applications,Modeling and Simulation,Software

Link

https://www.techscience.com/CMES/v134n3/49751/pdf

Reference34 articles.

1. Inflow performance relationships for solution-gas drive wells;Vogel;Journal of Petroleum Technology,1968

2. Two-rate IPR testing-a practical production tool;Richardson;Journal of Canadian Petroleum Technology,1982

3. Inflow performance relationship for damaged wells producing by solution, gas drive;Standing;Journal of Petroleum Technology,1970

4. Concerning the calculation of inflow performance of wells producing from solution gas drive reservoirs;Standing;Journal of Petroleum Technology,1971

5. Analysis of decline curves;Arps;Transactions of the AIME,1945

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1. Comparative analysis of supervised learning algorithms for prediction of cardiovascular diseases;Technology and Health Care;2024-05-31

2. A Powerful Prediction Framework of Fracture Parameters for Hydraulic Fracturing Incorporating eXtreme Gradient Boosting and Bayesian Optimization;Energies;2023-12-03

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