Semiautomated Well Interpretation in Digital Augmented Learning Environment
Year: 2022
Type: conference-paper
Institutions: Aker BP (Norway), Schlumberger (United States)
Language: English
Subfield: Geology
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4285197855
