Standard
Applying supervised learning methods to geophysical data from the Lower Cretaceous succession in the Danish North Sea : Uncovering the heterogeneous chalk reservoir. / Lorentzen, Mads Christian Lund.
Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen, 2022. 149 s.
Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling › Forskning
Harvard
Lorentzen, MCL 2022, Applying supervised learning methods to geophysical data from the Lower Cretaceous succession in the Danish North Sea: Uncovering the heterogeneous chalk reservoir. Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen.
APA
Lorentzen, M. C. L. (2022). Applying supervised learning methods to geophysical data from the Lower Cretaceous succession in the Danish North Sea: Uncovering the heterogeneous chalk reservoir. Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen.
Vancouver
Lorentzen MCL. Applying supervised learning methods to geophysical data from the Lower Cretaceous succession in the Danish North Sea: Uncovering the heterogeneous chalk reservoir. Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen, 2022. 149 s.
Author
Lorentzen, Mads Christian Lund. / Applying supervised learning methods to geophysical data from the Lower Cretaceous succession in the Danish North Sea : Uncovering the heterogeneous chalk reservoir. Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen, 2022. 149 s.
Bibtex
@phdthesis{c9e713d2af0743149aa782bfe83f4908,
title = "Applying supervised learning methods to geophysical data from the Lower Cretaceous succession in the Danish North Sea: Uncovering the heterogeneous chalk reservoir",
author = "Lorentzen, {Mads Christian Lund}",
year = "2022",
language = "English",
publisher = "Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen",
}
RIS
TY - BOOK
T1 - Applying supervised learning methods to geophysical data from the Lower Cretaceous succession in the Danish North Sea
T2 - Uncovering the heterogeneous chalk reservoir
AU - Lorentzen, Mads Christian Lund
PY - 2022
Y1 - 2022
M3 - Ph.D. thesis
BT - Applying supervised learning methods to geophysical data from the Lower Cretaceous succession in the Danish North Sea
PB - Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen
ER -
