Machine learning-powered predictive analytics for reducing carbon emissions-Reference-Cited by-同舟云学术

Machine learning-powered predictive analytics for reducing carbon emissions

Published:2021-09-01 Issue: Volume: Page:
ISSN:
Container-title:First International Meeting for Applied Geoscience & Energy Expanded Abstracts
language:
Short-container-title:

Author:

Herve Philippe¹

Affiliation:

1. SparkCognition

Publisher

Society of Exploration Geophysicists

Link

https://library.seg.org/doi/pdf/10.1190/segam2021-3594976.1

Reference4 articles.

1. Beck, C., et al. The future is now: How oil and gas companies can decarbonizes: McKinsey & Company, Jan. 2020, www.mckinsey.com/~/media/McKinsey/Industries/Oil%20and%20Gas/Our%20Insights/The%20future%20is%20now% 20How%20oil%20and%20gas%20companies%20can%20decarbonize/The-future-is-now-How-oil-and-gas- companies-can-decarbonize.pdf.

2. Energy Outlook: 2020 Edition: bp Global: 14 Sept. 2020, www.bp.com/content/dam/bp/business- sites/en/global/corporate/pdfs/energy-economics/energy-outlook/bp-energy-outlook-2020.pdf.

3. Gargett, P., et al. Toward a net-zero future: decarbonizing upstream oil and gas operations: McKinsey & Company, 2019, https://www.mckinsey.com/~/media/McKinsey/Industries/Oil%20and%20Gas/Our%20Insights/Toward%20a%20net%2 0zero%20future%20Decarbonizing%20upstream%20oil%20and%20gas%20operations/Toward-a-net-zero-future- Decarbonizing-upstream-oil-and-gas-operations-vF.pdf.

4. The impact of intelligent cyber-physical systems on the decarbonization of energy

Cited by 1 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. The Role and Impact of Artificial Intelligence in Attaining Sustainability Goals;2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS);2023-03-17