Zaoyuan Li on Muck Rack

Zaoyuan Li

As seen in: MDPI
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Articles

Machine Learning-Based Model for Prediction of Elastic Modulus of Calcium Hydroxide in Oil Well Cement Under High-Temperature High-Pressure Conditions

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By Ziwei Zhang, Sheng Huang, Zaoyuan Li, Li Wang
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Research on the Relationship between Pore Structure and the Compressive Strength of Oil-Well Cement

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By Jinfei Sun, Xiaoyang Guo, Zaoyuan Li, Guanyi Zheng
| MDPI
Abstract : The integrity of wellbore cement is an important guarantee for the long-term safety and effectiveness of carbon dioxide geological storage. During the process of CO2 capture, utilization, and storage, construction factors will cause changes in temperature and pressure distribution, leading to changes in the pore structure of cement and a decline in compressive strength, which can easily cause the failure of cement ring integrity.
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Enhancing Environmental Protection in Oil and Gas Wells through Improved Prediction Method of Cement Slurry Temperature

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By Bo Feng, jin Li, Zaoyuan Li, Xuning Wu
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
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