Klaus Mosegaard

Klaus Mosegaard

Professor

Member of:

    ORCID: 0000-0001-5292-5249

    Publication year:
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    1 - 10 out of 106Page size: 10
    1. 2024
    2. Published

      Estimation of Reservoir Fracture Properties from Seismic Data Using Markov Chain Monte Carlo Methods

      Feng, R., Mosegaard, Klaus, Mukerji, T. & Grana, D., 14 Jan 2024, In: Mathematical Geosciences.

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

    3. 2023
    4. 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

    5. 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

    6. 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

    7. 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

    8. 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

    9. 2022
    10. Published

      Application of Bayesian Generative Adversarial Networks to Geological Facies Modeling

      Feng, R., Grana, D., Mukerji, T. & Mosegaard, Klaus, 2022, In: Mathematical Geosciences. 54, p. 831-855 25 p.

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

    11. Published

      Errors in positioning of borehole measurements and how they influence seismic inversion

      Fernandes, Iris & Mosegaard, Klaus, 12 Jul 2022, In: Geophysical Prospecting. 70, 8, p. 1338-1345 8 p.

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

    12. Published

      High-resolution topography from planetary images and laser altimetry

      Fernandes, Iris & Mosegaard, Klaus, 30 May 2022, In: Planetary and Space Science. 218, 12 p., 105514.

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

    13. Published

      Bayesian inversion in geoscience

      Grana, D., Mosegaard, Klaus & Omre, H., 28 Jan 2022, Encyclopedia of Mathematical Geosciences . Daya Sagar, B. S., Cheng, Q., Mckinley, J. & Agterberg, F. (eds.). Springer Verlag, p. 1-8 8 p. (Encyclopedia of Earth Sciences Series).

      Research output: Chapter in Book/Report/Conference proceeding › Encyclopedia chapter › Research › peer-review

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