All Stories

  1. The use of machine learning toward an accurate initial model for seismic inversion

    Article • The Leading Edge, October 2023, Society of Exploration Geophysicists

    Islam Mohamed

  2. The use of machine learning toward an accurate initial model for seismic inversion

    Article • The Leading Edge, October 2023, Society of Exploration Geophysicists

    Mohammed Ibrahim, Islam Mohamed

  3. A new approach to improve reservoir modeling via machine learning

    Article • The Leading Edge, March 2020, Society of Exploration Geophysicists

    Islam Mohamed

  4. High-resolution water-saturation prediction using geostatistical inversion and neural network methods

    Article • Interpretation, March 2019, Society of Exploration Geophysicists

    Islam Mohamed

  5. Understanding reservoir heterogeneity through water-saturation prediction via neural network — A case study from offshore Nile Delta

    Article • The Leading Edge, April 2017, Society of Exploration Geophysicists

    Islam Mohamed

  6. Prediction of elastic properties using seismic prestack inversion and neural network analysis

    Article • Interpretation, May 2015, Society of Exploration Geophysicists

    Hamed Elmowafy, Islam Mohamed

  7. Prestack seismic inversion versus neural-network analysis: A case study in the Scarab field offshore Nile Delta, Egypt

    Article • The Leading Edge, May 2014, Society of Exploration Geophysicists

    Islam Mohamed