Jahr
Year | Titel/Autor:in
Title/Author | Publikationstyp
Publication Type |
|---|
| 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 Multiple Removal
Durall Lopez, Ricard; Ghanim, Ammar; Fernandez, Mario Ruben; Ettrich, Norman; 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 |
Deep Learning Strategies for Seismic Demultiple
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 |
Seismic demultiple with deep learning
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 |
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 |
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
|
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM