Embed-to-Control-Based Deep-Learning Surrogate for Robust Nonlinearly Constrained Life-Cycle Production Optimization: A Realistic Deepwater Application
Year: 2024
Type: conference-paper
DOI: 10.2118/220783-ms
Institutions: University of Tulsa, Shell (United States)
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4402668375
