Residual-Enhanced Physics-Guided Machine Learning With Hard Constraints for Subsurface Flow in Reservoir Engineering
2024 (English)In: IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, E-ISSN 1558-0644, Vol. 62, article id 4502209Article in journal (Refereed) Published
Place, publisher, year, edition, pages
IEEE, 2024. Vol. 62, article id 4502209
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-104302DOI: 10.1109/TGRS.2024.3357797ISI: 001173250800028Scopus ID: 2-s2.0-85183949404OAI: oai:DiVA.org:ltu-104302DiVA, id: diva2:1838708
Note
Validerad;2024;Nivå 2;2024-03-22 (joosat);
Funder: National Natural Science Foundation of China (62203234); State Key Laboratory of Robotics of China (2023-Z03); Natural Science Foundation of Liaoning Province (2023-BS-025); Research Program of Liaoning Liaohe Laboratory (LLL23ZZ-02-02);
2024-02-192024-02-192024-11-20Bibliographically approved