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Simulating dynamics of pressure and fluid saturation at grid-scale by a deep learning-based surrogate reservoir modeling based on a fast-supply hybrid database and developing preliminary insights for future gas hydrate exploitations in China
Research article (Geoenergy Science and Engineering, 2023) · cited 11× · AI/ML
Simulating dynamics of pressure and fluid saturation at grid-scale by a deep learning-based surrogate reservoir modeling based on a fast-supply hybrid database and developing preliminary insights for future gas hydrate exploitations in China
Summary
Simulating dynamics of pressure and fluid saturation at grid-scale by a deep learning-based surrogate reservoir modeling based on a fast-supply hybrid database and developing preliminary insights for future gas hydrate exploitations in China is a scholarly article[1].
Key Facts
Simulating dynamics of pressure and fluid saturation at grid-scale by a deep learning-based surrogate reservoir modeling based on a fast-supply hybrid database and developing preliminary insights for future gas hydrate exploitations in China's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Simulating dynamics of pressure and fluid saturation at grid-scale by a deep learning-based surrogate reservoir modeling based on a fast-supply hybrid database and developing preliminary insights for future gas hydrate exploitations in China. Retrieved May 24, 2026, from https://4ort.xyz/entity/simulating-dynamics-of-pressure-and-fluid-saturation-at-grid-scale-by-a-deep-learning-based-surrogate-reservoir-modeling
MLA“Simulating dynamics of pressure and fluid saturation at grid-scale by a deep learning-based surrogate reservoir modeling based on a fast-supply hybrid database and developing preliminary insights for future gas hydrate exploitations in China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/simulating-dynamics-of-pressure-and-fluid-saturation-at-grid-scale-by-a-deep-learning-based-surrogate-reservoir-modeling.
BibTeX@misc{4ortxyz_simulating-dynamics-of-pressure-and-fluid-saturation-at-grid-scale-by-a-deep-learning-based-surrogate-reservoir-modeling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Simulating dynamics of pressure and fluid saturation at grid-scale by a deep learning-based surrogate reservoir modeling based on a fast-supply hybrid database and developing preliminary insights for future gas hydrate exploitations in China}}, year = {2026}, url = {https://4ort.xyz/entity/simulating-dynamics-of-pressure-and-fluid-saturation-at-grid-scale-by-a-deep-learning-based-surrogate-reservoir-modeling}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Simulating dynamics of pressure and fluid saturation at grid-scale by a deep learning-based surrogate reservoir modeling based on a fast-supply hybrid database and developing preliminary insights for future gas hydrate exploitations in China — https://4ort.xyz/entity/simulating-dynamics-of-pressure-and-fluid-saturation-at-grid-scale-by-a-deep-learning-based-surrogate-reservoir-modeling (retrieved 2026-05-24)