Mikael Lüthje

  • Elektrovej, 375, 012

    2800 Kgs. Lyngby


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Research Output 2005 2019

Deep Learning Application for 4D Pressure Saturation Inversion Compared to Bayesian Inversion on North Sea Data

Sören Dramsch, J., Corte, G., Amini, H., Lüthje, M. & Macbeth, C., 2019, Proceedings of the Second EAGE Workshop Practical Reservoir Monitoring. 4 p.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Including Physics in Deep Learning – An Example from 4D Seismic Pressure Saturation Inversion

Dramsch, J. S., Corte, G., Amini, H., Macbeth, C. & Lüthje, M., 2019.

Research output: Contribution to conferencePaperResearchpeer-review

Influence of fracture nucleation and propagation rates on fracture geometry: insights from geomechanical modelling

Welch, M. J., Lüthje, M. & Glad, A. C., 2019, In : Petroleum Geoscience. 25, 4, p. 470-489

Research output: Contribution to journalJournal articleResearchpeer-review

Controls on fracture density and size: Insights from dynamic modelling

Welch, M. & Lüthje, M., 2018.

Research output: Contribution to conferencePaperResearchpeer-review

Deep-learning seismic facies on state-of-the-art CNN architectures

Sören Dramsch, J. & Lüthje, M., 2018, p. 2036-2040.

Research output: Contribution to conferencePaperResearchpeer-review

Projects 2002 2019

Seismic geomorphology and reservoir characteristics of the Danish Chalk fields

Smit, F. W. H., van Buchem, F., Frykman, P., Posamentier, H. W., Lüthje, M., Stemmerik, L. & Nielsen, L.

Eksternt finansieret virksomhed


Project: PhD