Summary
Sami Elkurdy is a seasoned geophysicist with over four decades of international experience in exploration and development across diverse sedimentary basins, now focused on consulting and independent work from Victoria, BC. He has a strong track record turning exploration plays into drillable prospects and extensive hands-on expertise with industry platforms (Landmark, Petrel, RMS, Hampson-Russell) for seismic interpretation, depth conversion, and reservoir characterization. Sami has led advanced VSP and anisotropy analyses on giant fields, built pragmatic 3D velocity models from multi-well time-depth fitting, and applied geostatistics and SGS upscaling for reservoir modeling. More recently he has integrated seismic attributes with petrophysical data using Python and Scikit-Learn, bringing modern machine learning into practical subsurface workflows. An acknowledged mentor and communicator, he combines deep technical breadth with a practical, results-driven approach to solving complex geophysical challenges.
8 years of coding experience
Faulty of Science Ein Shams University, Cairo, Egypt