Geological Sciences Seminar: Francky Fouedjio, Stanford University
- Tuesday, Jan 14, 2020 12:00 PM
- GeoCorner 220 - 450 Serra Mall, Building 320
- More Info:
- Faculty/Staff, Students, Alumni/Friends
- Department of Geological Science
** Please join us for coffee and cookies in the GeoCorner Undergraduate lounge (bldg. 320, rm 114) before the talk, at 11:30am! - Seminar will be in room 220~
Stochastic Implicit Geological Boundary Modeling for Mineral Resource Estimation
Mineral resource estimation aims to accurately predict the grades and tonnages of a mineral deposit that will be exploited during a specified time frame. Such a goal requires the definition of geological domains and their associated boundaries. The definition of geological domains and their associated boundaries is the first-order decision that will influence all subsequent steps in the mineral resource estimation process. Moreover, the geological boundary locations are uncertain and can be one of the primary sources of risk in a mining project, and because of that, they must be assessed. This work presents a stochastic implicit modeling approach to assess the uncertainty of 3D geological boundaries. The proposed method is fully automated, data-driven, and geological driven. It combines aspects of level sets, probability perturbation optimization, quadratic programming, Monte Carlo simulations, and parallel computing. It is illustrated to a porphyry copper deposit.
Dr. Francky Fouedjio is a Post-Doctoral Research Fellow in Geological Sciences at Stanford University. Dr. Fouedjio’ research interest focuses on developing and implementing advanced geostatistical, statistical, machine learning, and uncertainty quantification methods for solving real-world complex problems in geosciences. Dr. Fouedjio earned a Ph.D. in geostatistics from MINES ParisTech (France). He received a Master of Science by Research in statistical information processing - applied mathematics from Paris Dauphine University (France) and a Master of Science in statistics and econometrics from Toulouse 1 University Capitole (France). He held a Bachelor of Engineering in applied statistics from Institute of Statistics and Applied Economics (Cameroon). Prior to joining Stanford University, he was Post-Doctoral Research Fellow in Geostatistics & Data Science at CSIRO Mineral Resources (Australia).