Dr. Nicolas Hawie


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How can Innovative Forward Stratigraphic Modelling Approaches help in de-risking Petroleum Systems Elements in Complex Carbonate systems?,

Dr. Nicolas HAWIE holds high distinction degrees in Petroleum Geosciences from the Imperial College of London (Msc) with an ExxonMobil Scholarship and Doctoral Degree from the French Institute of Petroleum- IFP (PhD) with a National Council of Scientific Research funding. With more than 10 years in the IFP Group he held Senior Project Management and Team Leader position in Beicip-Franlab, the consulting subsidiary of IFP. He is currently acting as an Independent Consultant to major Oil and Gas and Services Companies.
 

Dr Hawie’s experience and internationally published works focus on the interpretation and integration of multi-scale and multi-disciplinary data in innovative Forward Stratigraphic and Basin models, answering questions related to tectono-stratigraphic evolution of sedimentary basins as well as the assessment of their petroleum systems
 

Dr Hawie acts as a Senior Petroleum Systems Analyst to prominent International and National Oil Companies (e.g., ExxonMobil, Shell, Total, Nexxen, Aramco, Kuwait Oil Company, ADNOC, Pertamina, Sonangol) as well as major Governmental Agencies, Energy Ministries and Academic Institutions (e.g. University of Texas Austin, the Imperial College London, Saint Mary’s University Canada , Sorbonne University Paris). He also acts as a scientific reviewer to major international Oil and Gas Journals as the AAPG Bulletin, Basin Research, Marine and Petroleum Geology.
 

Throughout this webinar, Dr Hawie will shed light on the various types of modelling techniques used by the Oil and Gas industry to integrate large amounts of multi-disciplinary and multiscale data, predict the impact of structural and climatic evolution on sedimentary depositional environments through process based forward stratigraphic modelling tools in mixed carbonate, siliciclastic and evaporitic systems. The latter results will help improve the prediction of Basin Models that mimic hydrocarbon generation migration and accumulation in diverse trapping mechanisms. The aim of this integrated G&G and Numerical Modeling approach is to provide a quantitative Risk Assessment of Petroleum Systems Elements leading to a more comprehensive Lead and Prospect Ranking

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