Home ›
Entities
› academia
› Machine Learning for Proxy Modeling of Dynamic Reservoir Systems: Deep Neural Network DNN and Recurrent Neural Network RNN Applications
Machine Learning for Proxy Modeling of Dynamic Reservoir Systems: Deep Neural Network DNN and Recurrent Neural Network RNN Applications
Research article (International Petroleum Technology Conference, 2020) · cited 21× · AI/ML
Machine Learning for Proxy Modeling of Dynamic Reservoir Systems: Deep Neural Network DNN and Recurrent Neural Network RNN Applications
Summary
Machine Learning for Proxy Modeling of Dynamic Reservoir Systems: Deep Neural Network DNN and Recurrent Neural Network RNN Applications is a scholarly article[1].
Key Facts
Machine Learning for Proxy Modeling of Dynamic Reservoir Systems: Deep Neural Network DNN and Recurrent Neural Network RNN Applications's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Machine Learning for Proxy Modeling of Dynamic Reservoir Systems: Deep Neural Network DNN and Recurrent Neural Network RNN Applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-for-proxy-modeling-of-dynamic-reservoir-systems-deep-neural-network-dnn-and-recurrent-neural-network-rn
MLA“Machine Learning for Proxy Modeling of Dynamic Reservoir Systems: Deep Neural Network DNN and Recurrent Neural Network RNN Applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-for-proxy-modeling-of-dynamic-reservoir-systems-deep-neural-network-dnn-and-recurrent-neural-network-rn.
BibTeX@misc{4ortxyz_machine-learning-for-proxy-modeling-of-dynamic-reservoir-systems-deep-neural-network-dnn-and-recurrent-neural-network-rn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning for Proxy Modeling of Dynamic Reservoir Systems: Deep Neural Network DNN and Recurrent Neural Network RNN Applications}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-for-proxy-modeling-of-dynamic-reservoir-systems-deep-neural-network-dnn-and-recurrent-neural-network-rn}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine Learning for Proxy Modeling of Dynamic Reservoir Systems: Deep Neural Network DNN and Recurrent Neural Network RNN Applications — https://4ort.xyz/entity/machine-learning-for-proxy-modeling-of-dynamic-reservoir-systems-deep-neural-network-dnn-and-recurrent-neural-network-rn (retrieved 2026-05-24)