Methane Emission Prediction in the Petrochemical Industry: A Machine Learning Approach with Focus on Oilfield Methane Forecasting-Reference-Cited by-同舟云学术

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Methane Emission Prediction in the Petrochemical Industry: A Machine Learning Approach with Focus on Oilfield Methane Forecasting

Published:2024-04-26 Issue: Volume:42 Page:351-355
ISSN:
Container-title:Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence
language:
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Author:

Zhao Zihan¹^ORCID

Affiliation:

1. Sichuan University of Science & Engineering, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3669754.3669808

Reference14 articles.

1. Focusing on Oil and Gas Methane Emissions to Support China's Methane Reduction;Wang Jianliang;Coal Economic Research,2022

2. Wang Chen. "Methane Reduction: Breaking the Ice from the Energy Industry. 'Fourteenth Five-Year Plan' Propels the Introduction of China's Methane Emission Control Action Plan." 21st Century Business Herald, 2021-12-09(007).

3. Common Issues and Measures in the Operation Management of Oil Product Tank Farms;Wu Yan;Petrochemical Technology,2019

4. Calculation of Emission Strength of VOCs from Fixed Roof Tanks and Study on Influencing Factors;Wang Min;Environmental Science and Management,2022

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