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

  • Durall Lopez, R.; Ghanim, A.; Fernandez, M. R.; Ettrich, N.; Keuper, J.
    Deep diffusion models for seismic processing
    In: Computers & Geosciences, Volume 177, August 2023, 105377
  • Durall Lopez, R.; Ghanim, A.; Ettrich, N.
    U-net based primary alignment
    International Meeting for Applied Geoscience & Energy 2023, Houston TX, SEG Technical Program Expanded Abstracts: 1500-1504.             
  • Durall Lopez, R.; Ghanim, A.; Fernandez, M. R.; Ettrich, N.; Keuper, J.
    Deep Diffusion Models for Multiple Removal
    Third EAGE Digitalization Conference and Exhibition, Mar 2023, Volume 2023, p.1 - 5     
  • Durall Lopez, R.; Ghanim, A.; Ettrich, N.; Keuper, J.
    An in-depth study of U-net for seismic data conditioning: Multiple removal by moveout discrimination
    In: GEOPHYSICS, January 1, 2024, DOI 10.1190/geo2023-0146.1

Fraunhofer-Publica

Sammlung der Publikationen von Norman Ettrich in der Fraunhofer-Publica

Jahr
Year		Titel/Autor:in
Title/Author		Publikationstyp
Publication Type
2025 Towards deep learning for seismic demultiple
Fernandez, Mario Ruben; Ettrich, Norman; Delescluse, Matthias; Rabaute, Alain; Keuper, Janis		 Zeitschriftenaufsatz
Journal Article
2024 Towards flexible demultiple with deep learning
Fernandez, Mario Ruben; Ettrich, Norman; Delescluse, Matthias; Rabaute, Alain; Keuper, Janis		 Zeitschriftenaufsatz
Journal Article
2024 AVA attribute estimation from misaligned seismic gathers using U-Net
Ghanim, Ammar; Durall Lopez, Ricard; Ettrich, Norman		 Zeitschriftenaufsatz
Journal Article
2024 Introducing User-Control in Deep Learning Seismic Gather Conditioning for Quantitative Interpretation
Ghanim, Ammar; Durall Lopez, Ricard; Ettrich, Norman		 Konferenzbeitrag
Conference Paper
2023 An in-depth study of U-net for seismic data conditioning: Multiple removal by moveout discrimination
Durall Lopez, Ricard; Ghanim, Ammar; Ettrich, Norman; Keuper, Janis		 Zeitschriftenaufsatz
Journal Article
2023 Deep diffusion models for seismic processing
Durall Lopez, Ricard; Ghanim, Ammar; Fernandez, Mario Ruben; Ettrich, Norman; Keuper, Janis		 Zeitschriftenaufsatz
Journal Article
2023 U-net based primary alignment
Durall Lopez, Ricard; Ghanim, Ammar; Ettrich, Norman		 Zeitschriftenaufsatz
Journal Article
2023 Seismic demultiple with deep learning
Fernandez, Mario Ruben; Ettrich, Norman; Delescluse, Matthias; Rabaute, Alain; Keuper, Janis		 Konferenzbeitrag
Conference Paper
2023 Bayesian variational auto-encoder for seismic wavelet extraction
Ghanim, Ammar; Durall Lopez, Ricard; Ettrich, Norman		 Zeitschriftenaufsatz
Journal Article
2023 Deep Diffusion Models for Multiple Removal
Durall Lopez, Ricard; Ghanim, Ammar; Fernandez, Mario Ruben; Ettrich, Norman; Keuper, Janis		 Konferenzbeitrag
Conference Paper
2023 Deep Learning Strategies for Seismic Demultiple
Fernandez, Mario Ruben; Ettrich, Norman; Delescluse, Matthias; Rabaute, Alain; Keuper, Janis		 Konferenzbeitrag
Conference Paper
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 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
2022 A comparison of deep learning paradigms for seismic data interpolation
Fernandez, Mario Ruben; Durall Lopez, Ricard; Ettrich, Norman; Delescluse, M.; Rabaute, A.; Keuper, J.		 Konferenzbeitrag
Conference Paper
2022 Image-to-image 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 Detection of point scatterers using diffraction imaging and deep learning
Tschannen, Valentin; Ettrich, Norman; Delescluse, Matthias; Keuper, Janis		 Zeitschriftenaufsatz
Journal Article
2020 Extracting horizon surfaces from 3D seismic data using deep learning
Tschannen, Valentin; Delescluse, Matthias; 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
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
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

This list has been generated from the publication platform Fraunhofer-Publica