Klaus Mosegaard

Klaus Mosegaard

Professor

Member of:

    ORCID: 0000-0001-5292-5249

    Publication year:
    All
    1 - 5 out of 5Page size: 10
    1. 2023
    2. Published

      Stochastic Facies Inversion with Prior Sampling by Conditional Generative Adversarial Networks Based on Training Image

      Feng, R., Mosegaard, Klaus, Grana, D., Mukerji, T. & Hansen, T. M., 23 Nov 2023, In: Mathematical Geosciences. 26 p.

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

    3. Published

      Markov chain Monte Carlo for seismic facies classification

      Grana, D., De Figueiredo, L. P. & Mosegaard, Klaus, 2023, In: Geophysics. 88, 3, p. M131-M143

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

    4. Published

      Joint inversion of receiver functions and apparent incidence angles to determine the crustal structure of Mars

      Joshi, R., Knapmeyer-endrun, B., Mosegaard, Klaus, Wieczorek, M. A., Igel, H., Christensen, U. R. & Lognonné, P., 2023, In: Geophysical Research Letters. 50, 3, 11 p., e2022GL.100469.

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

    5. Published

      Using Synthetic Data Trained Convolutional Neural Network for Predicting Sub-resolution Thin Layers from Seismic Data

      Qu, D., Mosegaard, Klaus, Feng, R. & Nielsen, L., 1 May 2023, In: Interpretation. 11, 2, 1M-T456.

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

    6. Published

      Using a synthetic data trained convolutional neural network for predicting subresolution thin layers from seismic data

      Qu, D., Mosegaard, Klaus, Feng, R. & Nielsen, Lars, 21 Apr 2023, In: Interpretation. 11, 2, p. T339-T347 9 p.

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

    ID: 105380906