1. 2018
  2. Reservoir Lithology Determination by Hidden Markov Random Fields Based on a Gaussian Mixture Model

    Feng, R., Luthi, S. M., Gisolf, D. & Angerer, E., 6 Jul 2018, In : IEEE Transactions on Geoscience and Remote Sensing. 56, 11, 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Reservoir lithology classification based on seismic inversion results by Hidden Markov Models: Applying prior geological information

    Feng, R., Luthi, S. M., Gisolf, D. & Angerer, E., 1 May 2018, In : Marine and Petroleum Geology. 93, p. 218-229 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. Simulating reservoir lithologies by an actively conditioned Markov chain model

    Feng, R., Luthi, S. M. & Gisolf, D., 5 Mar 2018, In : Journal of Geophysics and Engineering. 15, 3, p. 800-815 16 p., 800.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Determination of Reservoir Lithology from Seismic Data by a 2D Hidden Markov Random Field Model

    Feng, R., Luthi, S., Gisolf, D. & Martinius, A., 2018, 80th EAGE Conference and Exhibition 2018, 11-14 June, Copenhagen, Denmark. 5 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  6. 2017
  7. Reservoir-oriented wave-equation-based seismic amplitude variation with offset inversion

    Gisolf, D., Haffinger, P. R. & Doulgeris, P., 31 Aug 2017, In : Interpretation. 5, 3, p. SL43-SL56

    Research output: Contribution to journalArticleScientificpeer-review

  8. An iterative method for 2D inverse scattering problems by alternating reconstruction of medium properties and wavefields: Theory and application to the inversion of elastic waveforms

    Rizzuti, G. & Gisolf, A., 1 Feb 2017, In : Inverse Problems: inverse problems, inverse methods and computerized inversion of data. 33, 3, 29 p., 035003.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Classifying Reservoir Lithology by Hidden Markov Models (1D)

    Feng, R., Luthi, S., Gisolf, D. & Sharma, S., Jan 2017, Delphi. The Reservoir Characterization and Monitoring Project (2016): From Seismic measurements to rock and pore parameters. Verschuur, D. J. (ed.). Delft: Delft University of Technology, Vol. XV. p. 12.1-12.16 16 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientific

  10. Geological Information in Reservoir-oriented Full Waveform Inversion

    Sharma, S., Gisolf, D., Luthi, S. & Feng, R., Jan 2017, Delphi. The Reservoir Characterization and Monitoring Project (2016): From Seismic measurements to rock and pore parameters. Verschuur, D. J. (ed.). Delft: Delft University of Technology, Vol. XV. p. 11.1-11.14 14 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientific

  11. Quantitative prediction of injected CO2 at Sleipner using wave-equation based AVO1

    Haffinger, P., Jedari Eyvazi, F., Doulgeris, P., Steeghs, P. & Gisolf, D., Jan 2017, Delphi. The Reservoir Characterization and Monitoring Project (2016): From Seismic measurements to rock and pore parameters. Verschuur, D. J. (ed.). Delft: Delft University of Technology, Vol. XV. p. 10.1-10.13 13 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientific

  12. Reservoir Lithology Determination by Hidden Markov Random Field based on Gaussian Mixture Model (2D)

    Feng, R., Luthi, S., Gisolf, D. & Sharma, S., Jan 2017, Delphi. The Reservoir Characterization and Monitoring Project (2016): From Seismic measurements to rock and pore parameters. Verschuur, D. J. (ed.). Delft: Delft University of Technology, Vol. XV. p. 13.1-13.16 16 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientific

Previous 1 2 3 4 5 6 7 8 ...19 Next

ID: 120213