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Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storage
Research article (The Science of The Total Environment, 2023) · cited 78× · AI/ML
Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storage
Summary
Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storage is a scholarly article[1].
Key Facts
Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storage's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storage. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-predictions-of-shale-wettability-using-advanced-machine-learning-techniques-and-nature-inspired-methods-implic
MLA“Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storage.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-predictions-of-shale-wettability-using-advanced-machine-learning-techniques-and-nature-inspired-methods-implic.
BibTeX@misc{4ortxyz_improving-predictions-of-shale-wettability-using-advanced-machine-learning-techniques-and-nature-inspired-methods-implic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storage}}, year = {2026}, url = {https://4ort.xyz/entity/improving-predictions-of-shale-wettability-using-advanced-machine-learning-techniques-and-nature-inspired-methods-implic}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storage — https://4ort.xyz/entity/improving-predictions-of-shale-wettability-using-advanced-machine-learning-techniques-and-nature-inspired-methods-implic (retrieved 2026-05-24)
