Mads Christian Lund Lorentzen

Mads Christian Lund Lorentzen

Postdoc

ORCID: 0000-0002-5674-8267

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 › Research

  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 › Research › 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 › Research › 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 › Research › peer-review

ID: 199284493