Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWMFraunhofer-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 |
| 2025 | Residual moveout correction with deep learning models Fernández, Matías; Ettrich, Norman; Delescluse, Matthias; Keuper, Janis |
Konferenzbeitrag Conference Paper |
| 2024 | AVA attribute estimation from misaligned seismic gathers using U-Net Ghanim, Ammar; Durall Lopez, Ricard; Ettrich, Norman |
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 | Introducing User-Control in Deep Learning Seismic Gather Conditioning for Quantitative Interpretation Ghanim, Ammar; Durall Lopez, Ricard; Ettrich, Norman |
Konferenzbeitrag Conference Paper |
| 2023 | Deep Diffusion Models for Multiple Removal Durall Lopez, Ricard; Ghanim, Ammar; Fernandez, Mario Ruben; Ettrich, Norman; Keuper, Janis |
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 Learning Strategies for Seismic Demultiple Fernandez, Mario Ruben; Ettrich, Norman; Delescluse, Matthias; Rabaute, Alain; Keuper, Janis |
Konferenzbeitrag Conference Paper |
| 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 |
| 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 |
| 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 |
| 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 | Deep learning in seismic processing: Trim statics and demultiple Breuer, Alexander; Ettrich, Norman; Habelitz, Peter |
Konferenzbeitrag Conference Paper |
| 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 |
| 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