Profil Ammar Ghanim

Schwerpunkte/Kompetenzen

• Seismische Migration und Datenbearbeitung
• Seismische Inversion
• PSDM-imaging Dienstleistungen 
• Deep Learning

Publikationen

Highlightpublikationen

• Durall, R., Ghanim, A., Fernandez, M., Ettrich, N., Keuper, J. (2022): Deep Diffusion Models for Seismic Processing (Version 1). arXiv. https://doi.org/10.48550/ARXIV.2207.10451
• Durall, R., Ghanim, A., Ettrich, N., Keuper, J. (2022): Dissecting U-net for Seismic Application: An In-Depth Study on Deep Learning Multiple Removal (Version 1). arXiv. https://doi.org/10.48550/ARXIV.2206.12112
• Tschannen, V., Ghanim, A., Ettrich, N. (2022): Partial automation of the seismic to well tie with deep learning and Bayesian optimization. In Computers & Geosciences (Vol. 164, p. 105120). Elsevier BV. https://doi.org/10.1016/j.cageo.2022.105120
• Ghanim, A., Ohlsen, F., Bücker, C., Buske, S. (2020): Single-Step Bayesian Seismic Inversion for Litho-Fluid Class Prediction – A Case Study from the Nile Delta. In First EAGE Conference on Seismic Inversion. First EAGE Conference on Seismic Inversion. European Association of Geoscientists & Engineers. https://doi.org/10.3997/2214-4609.202037028
• Jusri, T., Thomas, A., Ghanim, A., Reiche, S., & Buske, S. (2018): Delineating Porosity Distribution for an Offshore Groundwater Reservoir at the New Jersey Shelf by Seismic Inversion. In Proceedings. 80th EAGE Conference and Exhibition 2018. EAGE Publications BV. https://doi.org/10.3997/2214-4609.201800930