Determination of drilling mud weight using deep learning techniques-Reference-Cited by-同舟云学术

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Determination of drilling mud weight using deep learning techniques

Published:2022-12-05 Issue: Volume: Page:1-21
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Khazaei Aref¹^ORCID,Radfar Reza¹^ORCID,Toloie Eshlaghy Abbas¹

Affiliation:

1. Department of Industrial Management, Science and Research branch, Islamic Azad University, Tehran, Iran

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2022.2092637

Reference42 articles.

1. Stability of Highly Inclined Boreholes (includes associated papers 18596 and 18736 )

2. Effective Geomechanic Approach for Wellbore Stability Analysis

3. Machine learning methods applied to drilling rate of penetration prediction and optimization - A review

4. In-situ stress orientation and magnitude at the Fenton Geothermal Site, New Mexico, determined from wellbore breakouts

5. Estimation of lost circulation amount occurs during under balanced drilling using drilling data and neural network

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