Bottom hole pressure prediction based on hybrid neural networks and Bayesian optimization

Author:

Zhang Cheng-Kai,Zhang Rui,Zhu Zhao-Peng,Song Xian-Zhi,Su Yin-Ao,Li Gen-Sheng,Han Liang

Publisher

Elsevier BV

Subject

Economic Geology,Geochemistry and Petrology,Geology,Geophysics,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference45 articles.

1. Utilizing machine learning methods to estimate flowing bottom-hole pressure in unconventional gas condensate tight sand fractured wells in Saudi Arabia;Al Shehri,2020

2. A comprehensive mechanistic model for upward two-phase flow in wellbores;Ansari;SPE Prod. Facil.,1994

3. An integrated machine-learning approach to shale-gas supply-chain optimization and refrac candidate identification;Asala;SPE Reservoir Eval. Eng.,2019

4. Enhanced machine learning tree classifiers for lithology identification using Bayesian optimization;Asante-Okyere;Applied Computing and Geosciences,2022

5. Pressure drop in wells producing oil and gas;Aziz;J. Can. Petrol. Technol.,1972

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