Exploring the potential of ChatGPT for keywords analysis
Author:
Affiliation:
1. SK Earthon Co., Ltd.
Publisher
Society of Exploration Geophysicists and American Association of Petroleum Geologists
Link
https://library.seg.org/doi/pdf/10.1190/image2023-3905013.1
Reference11 articles.
1. Alkinani, H. H., A. T. T. Al-Hameedi, S. Dunn-Norman, R. E. Flori, M. T. Alsaba, and A. S. Amer, 2019, Applications of artificial neural networks in the petroleum industry: A review: SPE Middle East Oil and Gas Show and Conference, doi: 10.2118/195072-MS.
2. Fast unfolding of communities in large networks
3. Liu, C., and S. Prajapati, 2022, Insight from keywords co-occurrence in SEG annual meetings: A bibliometric study: Second International Meeting for Applied Geoscience & Energy, SEG/AAPG, Expanded Abstracts, 1810–1814, doi: 10.1190/image2022-3726975.1.
4. Interpreting bibliometric signals
5. Pillai, P., S. Ryali, H. Maniar, P. Mangsuli, and A. Abubakar, 2022, NLP applications in the oil and natural gas industry: Second International Meeting for Applied Geoscience & Energy, SEG/AAPG, Expanded Abstracts, 1956–1960, doi: 10.1190/image2022-3739659.1.
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