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4D Seismics for Fracture Characterization
Dramsch, Jesper Sören
(PhD Student)
Lüthje, Mikael
(Main Supervisor)
Christensen, Anders Nymark
(Supervisor)
Macbeth, Colin
(Supervisor)
Jørgensen, Thomas Martini
(Examiner)
Mosegaard, Klaus
(Examiner)
Naeini, Ehsan Zabihi
(Examiner)
Department of Applied Mathematics and Computer Science
Department of Physics
Danish Offshore Technology Centre
Visual Computing
Statistics and Data Analysis
Department of Space Research and Technology
Center for Energy Resources Engineering
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
15/10/2016
→
10/02/2021
Funding
Technical University of Denmark
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Machine Learning
Earth and Planetary Sciences
100%
Seismic Data
Earth and Planetary Sciences
100%
Data Transmission
Earth and Planetary Sciences
100%
Earth Science
Earth and Planetary Sciences
100%
Applications of Deep Neural Networks
Keyphrases
100%
Geoscience Applications
Keyphrases
100%
Seismic Data Analysis
Keyphrases
100%
Learning System
Chemical Engineering
100%
Research output
Publications per year
2020
2020
2020
1
Ph.D. thesis
Publications per year
Publications per year
Machine Learning in Geoscience Applications of Deep Neural Networks in 4D Seismic Data Analysis
Dramsch, J. S.,
2020
,
Department of Physics, Technical University of Denmark
.
324 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Data Transmission
100%
Machine Learning
100%
Seismic Data
100%
Earth Science
100%
Applications of Deep Neural Networks
100%
172
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