Drilling Problems Forecast System Based on Neural Network (Russian)-Reference-Cited by-同舟云学术

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Drilling Problems Forecast System Based on Neural Network (Russian)

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:SPE Annual Caspian Technical Conference
language:
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Author:

Borozdin Sergey,Dmitrievsky Anatoly,Eremin Nikolai,Arkhipov Alexey,Sboev Alexander,Chashchina-Semenova Olga,Fitzner Leonid,Safarova Elisaveta

Publisher

Society of Petroleum Engineers

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Field Monitoring and Identification Method for Overflow of Fractured-Vuggy Carbonate Reservoir;Energies;2023-03-02

2. Transfer Forest: A Deep Forest Model Based on Transfer Learning for Early Drilling Kick Detection;Energies;2023-02-21

3. A Well-Overflow Prediction Algorithm Based on Semi-Supervised Learning;Energies;2022-06-13

4. Application of Bag-of-Features Approach to Drilling Accidents Forecasting;Day 4 Thu, June 09, 2022;2022-06-06

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