Research Interests
Enhanced Subsurface characterization for Carbon storage and induced Seismicity in Illinois Basin – Decatur Project, USA.Machine learning algorithms for Seismic Facies Interpretation and Hydrocarbon Exploration on West Delta Deep Marine concession, Offshore Nile Delta, Egypt.
Advanced seismic interpretation using Unsupervised ML and automated fault detection for Carbon storage in Sleipner field
- Seismic Data Interpretation.
- Rock Physics and Reservoir evaluation
- Induced Seismicity And Risk Assessment.
- Carbon Capture And Storage (CCS)
- Machine Learning For Subsurface Characterization.
Educational Background
- Master's degree in Geophysics-: Texas A&M University Aug 2024- Present
- Pre-master (Geophysics) Diploma: Helwan University in Egypt. Sep. 2021 - May 2022
- Bachelor of Science (Geophysics): Sep. 2016 - May 2020
Awards & Honors
- Fulbright Scholarship Fulbright Egyptian Student Program - Master's Degree Grant. June 2024
- SEG Carbon Reduction Evolve Progr Subsurface coordinator and member of the represented team of Helwan University in SEG Carbon EVOLVE 2023-2024.IIMAGE 2024 Mar 2023 - Sep 2024
- EAGE-Laurie Dake Challenge. Member of the team represented of Helwan University in the EAGE-Laurie Dake Challenge 2023 for Energy resources exploration. The team project was selected among the top six projects globally. May 2023
- Excellence Award for Best Investor Presentation and Poster at SEG Evolve Program. Member of the team represented Helwan University in SEG EVOLVE 2022 and which got the award of best Investor Presentation and Poster during the International Meeting for Applied Geoscience & Energy. IMAGE 2022 August 2022
- Team leader of the Helwan University team in the IBA Competition. Ranked 4th over the African region in Imperial Barrel Award (IBA 2021) Competition for Petroleum Exploration held by AAPG March 2021
Additional Information
- International Meeting for Applied Geoscience & Energy (IMAGE 24): Presented a Presentation and Poster (New Reservoir Identification for Carbon Storage Using Advanced Machine learning Self Organized Maps (SOM)Techniques; A Case Study from Sleipner Field Aug 2024
- Texas A&M Conference on Energy: Presented a Poster (Machine Learning and Multi-Attribute Analysis for Optimal CO2 Storage Site Selection in the Skade Formation, Sleipner Field Sep 2024
- 84th EAGE Annual Conference: Research Proposal and Presentation Geothermal energy exploration of Vienna basin. Aug 2024
- International Meeting for Applied Geoscience & Energy (IMAGE 22): Presented a Presentation and Poster (Evaluation of Hydrocarbon Prospectivity and the best investment opportunity of South Marsh Island, Gulf of Mexico.) Aug 2022