A physics-guided eXtreme gradient boosting model for predicting the initial productivity of oil wells

Author:

Dong Yintao,Song Laiming,Zhao Qianhui,Ding Zupeng,Qiu Ling,Lu Chuan,Chen Guanzhong

Funder

China National Offshore Oil Corporation

Publisher

Elsevier BV

Reference50 articles.

1. Fishbone type horizontal wellbore completion: a study for pressure behavior, flow regimes, and productivity index;Al-Rbeawi;J. Petrol. Sci. Eng.,2019

2. Ensemble machine learning for data-driven predictive analytics of drilling rate of penetration (ROP) modeling: a case study in a southern Iraqi oil field;Al-Sahlanee;SPE Western Regional Meeting,2023

3. Integrating core porosity and well logging interpretations for multivariate permeability modeling through ordinary Kriging and Co-Kriging algorithms;Al-Mudhafar,2018

4. Advanced supervised machine learning algorithms for efficient Electrofacies classification of a carbonate reservoir in a giant southern Iraqi oil field;Al-Mudhafar;Offshore Technology Conference,2020

5. Tree-based ensemble algorithms for lithofacies classification and permeability prediction in heterogeneous carbonate reservoirs;Al-Mudhafar;Offshore Technology Conference,2022

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