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Geobodies definition to iterative history matching – Integrating static & dynamic data for fluvial reservoir characterization

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APG Distinguished Webinar :

From Geobodies Definition 2 Iterative History Matching: Integrating Static & Dynamic Data for Fluvial Reservoir Characterization

15TH MAY 2023, MONDAY AT 7:30 PM IST.


Arnaud Fournillon graduated in 2007 with a Master's degree in sedimentology and geomodeling from the University of Provence (France). He obtained a Ph.D. in 2012 on carbonate reservoir characterization from the Aix-Marseille University (France). He joined Beicip Franlab in 2013 as a geologist and has since worked on many different contexts and topics at exploration and reservoir scales. He focuses on the multiscale characterization of sedimentary bodies and integrating geological data into numerical models.

Fluvial depositional environments represent static and dynamic modeling challenges due to their high intrinsic heterogeneity. A dedicated workflow has been developed for their characterization and modeling to encompass the limitations of classical modeling approaches. This workflow is threefold: (1) characterization and mapping of flow units based on a close integration of static and dynamic data, (2) static modeling of the flow units with their relevant sand content, and (3) iterative history matching approach focusing on flow unit connectivity. This approach is applied to the uppermost part of the Fatehgarh formation in the Mangala field (Barmer Basin, India), consisting of a complex meandering channel system

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