Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM

Profil Norman Ettrich

Schwerpunkte/Kompetenzen

  • Seismische High Performance Computing Anwendungen
  • Seimische Migration und Datenbearbeitung
  • PSDM-imaging Dienstleistungen 
  • Machine Learning für seismische Datenbearbeitung und -interpretation

 

Publikationen

Highlightpublikationen

  • Foss, S.-K.; Matias, J.L.L; Sollid, A.; Loures, L.; Pinotti, T.; Brenne, E.O.; Wergeland, Ø.; Broch, T.M.O.; Merten, D.; Ettrich, N.:
    Examples of geology from seismic diffractions.
    SEG Technical Program Expanded Abstracts 2018 : Anaheim, California, 14-19 October 2018, International Exposition 88th Annual Meeting, pp.4141-4145
  • Merten, D.; Ettrich, N.:
    GRT angle migration: A 5D data mapping problem.
    International Conference on High Performance Computing & Simulation, HPCS 2015 Amsterdam, Netherlands, 20 - 24 July 2015.
  • Tschannen, V.; Ettrich, N.; Delescluse, M.; Keuper, J.:
    Detection of point scatterers using diffraction imaging and deep learning.
    In: Geophysical Prospecting 2, S. 830–844. DOI: 10.1111/1365-2478.12889.

Fraunhofer-Publica

Sammlung der Publikationen von Norman Ettrich in der Fraunhofer-Publica

Jahr
Year		Titel/Autor:in
Title/Author		Publikationstyp
Publication Type
2022 Deep Diffusion Models for Seismic Processing
Durall Lopez, Ricard; Ghanim, Ammar; Fernandez, Mario Ruben; Ettrich, Norman; Keuper, Janis		 Paper
2022 Dissecting U-net for Seismic Application: An In-Depth Study on Deep Learning Multiple Removal
Durall Lopez, Ricard; Ghanim, Ammar; Ettrich, Norman; Keuper, Janis		 Paper
2022 Partial automation of the seismic to well tie with deep learning and Bayesian optimization
Tschannen, Valentin; Ghanim, Ammar; Ettrich, Norman		 Zeitschriftenaufsatz
Journal Article
2022 Image-to-image Seismic Interpolation
Fernandez, Mario Ruben; Durall Lopez, Ricard; Ettrich, Norman; Delescluse, M.; Rabaute, A.; Keuper, Janis		 Konferenzbeitrag
Conference Paper
2022 A Benchmark Study of Deep Learning Methods for Seismic Interpolation
Fernandez, Mario Ruben; Durall Lopez, Ricard; Ettrich, Norman; Delescluse, M.; Rabaute, A.; Keuper, Janis		 Konferenzbeitrag
Conference Paper
2021 Generative models for the transfer of knowledge in seismic interpretation with deep learning
Durall, Ricard; Tschannen, Valentin; Ettrich, Norman; Keuper, Janis		 Zeitschriftenaufsatz
Journal Article
2020 Using Migrated Dip-Angle Gathers for Boulder Detection in UHR Seismic Reflection Data
Ettrich, Norman; Tschannen, Valentin; Wenau, Stefan		 Konferenzbeitrag
Conference Paper
2020 Extracting horizon surfaces from 3D seismic data using deep learning
Tschannen, Valentin; Delescluse, Matthias; Ettrich, Norman; Keuper, Janis		 Zeitschriftenaufsatz
Journal Article
2020 Detection of point scatterers using diffraction imaging and deep learning
Tschannen, Valentin; Ettrich, Norman; Delescluse, Matthias; Keuper, Janis		 Zeitschriftenaufsatz
Journal Article
2018 Examples of geology from seismic diffractions
Foss, S.-K.; Matias, J.L.L; Sollid, A.; Loures, L.; Pinotti, T.; Brenne, E.O.; Wergeland, Ø.; Broch, T.M.O.; Merten, Dirk; Ettrich, Norman		 Konferenzbeitrag
Conference Paper
2017 From seismic reflections to diffractions - case study of interpretation for development of a complex gas reservoir
Foss, S.-K.; Karlsen, E.S.; Mispel, J.; Straith, K.R.; Merten, Dirk; Ettrich, Norman		 Konferenzbeitrag
Conference Paper
2015 GRT angle migration: A 5D data mapping problem
Merten, Dirk; Ettrich, Norman		 Konferenzbeitrag
Conference Paper
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