Mads Christian Lund Lorentzen

• Presentation
• CV
• Research outputs
• Keywords

Geophysicist with solid qualifications in Python. Sharp analysis and interpretation skills in geophysical data processing, rock physics, and seismic inversion. Passionate about open source software development with a focus on artificial intelligence and machine learning implementation in geoscience. Enthusiastic communicator of complex physical processes - particularly within the field of earth sciences.

Selected publications

1. Published

   Applying supervised learning methods to geophysical data from the Lower Cretaceous succession in the Danish North Sea: Uncovering the heterogeneous chalk reservoir

   Lorentzen, Mads Christian Lund, 2022, Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen. 149 p.

   Research output: Book/Report › Ph.D. thesis

2. Published

   Estimation of shear sonic logs in the heterogeneous and fractured Lower Cretaceous of the Danish North Sea using supervised learning

   Lorentzen, Mads Christian Lund, Bredesen, K., Mosegaard, Klaus & Nielsen, Lars, 2022, In: Geophysical Prospecting. 70, 8, p. 1410-1431 22 p.

   Research output: Contribution to journal › Journal article › peer-review

3. Published

   Mapping Cretaceous faults using a convolutional neural network - A field example from the Danish North Sea

   Lorentzen, Mads Christian Lund, Bredesen, K., Smit, F. W. H., Hansen, T. H., Nielsen, Lars & Mosegaard, Klaus, 2022, In: Bulletin of the Geological Society of Denmark. 71, p. 31-50 20 p.

   Research output: Contribution to journal › Journal article › peer-review

4. Published

   Quantitative seismic interpretation of the Lower Cretaceous reservoirs in the Valdemar Field, Danish North Sea

   Bredesen, K., Lorentzen, Mads Christian Lund, Nielsen, Lars & Mosegaard, Klaus, 1 Nov 2021, In: Petroleum Geoscience. 27, 4, 17 p., petgeo2021-016.

   Research output: Contribution to journal › Journal article › peer-review