We are pleased to announce our first seminar that will be held both in presence and via visio conference for this semester.

The seminar will be held on Tuesday 11th of May from 16:15 to 17:15 in room F200 Unimail (Auditoire Louis Guillaume). For those willing to participate remotely, they can access it via this link.

Please register on this link if you plan to attend the seminar in presence. The maximum number of person in the room is limited to 38.

Title: Pit dewatering optimisation of a 3D FEFLOW unstructured groundwater model at geologically complex Antamina mine site in Peru


Robin Dufour is Managing Director at DHI Peru and Global Mining Leader for DHI-WASY, leading mine dewatering and pit pore pressures, design and seepage group of international experts in numerical modeling. His work is focused on the mining sector which involves simulating mine waste facilities, and groundwater resource evaluations for feasibility and environmental impacts studies. Before his position at DHI, Mr. Dufour managed the groundwater modeling department of MWH Peru for 5 years where he supported mining and geotechnical engineering projects.

Abstract : Discover how DHI deals with geological complexity supporting Mining hydrogeological investigations, optimize dewatering program and explore model uncertainty using data fusion. Robin Dufour will present his work focused on Pit dewatering optimization of a 3D FEFLOW unstructured groundwater model at geologically complex Antamina mine site in Peru. 3D unstructured meshing in FEFLOW allows for an increased level of detail in the open pit and a better representation of the geological complexity and structures, at the same time allowing conservation of the 3D flow process at a regional scale, with fewer mesh nodes in the regional flow model and therefore shorter simulation time. In addition, find out about innovative optimization processes to minimize OPEX and CAPEX of the dewatering operation, and data fusion solution to significantly increase the accuracy of pore pressure simulation outputs for pit slope analysis a better understanding of the numerical uncertainty.