In this YouTube episode, featuring Dr. Behnam Sadeghi, we explore Uncertainty Quantification and Modeling, a crucial topic in mineral exploration. Dr. Sadeghi discusses applying diverse methods, such as kriging, geostatistics, and machine learning, to interpret geological data for mineral concentration. He highlights the challenge of translating complex mathematical models into visual insights and the significance of embracing uncertainty. The goal is to create probabilistic maps using techniques like Gaussian Processes, considering sampling uncertainties and interpolation errors. This approach aids informed decision-making in exploration, accounting for various complexities and variables, leading to more comprehensive models for mineral potential assessment.
Behnam Sadeghi is a distinguished geoscientist with a PhD and extensive expertise. He holds esteemed titles including RPGeo, FAusIMM, FAIG, and FAAG. With over 15 years of experience, he has excelled in mineral exploration, geostatistics, and GIS analysis. Behnam's academic journey includes a PhD in Geosciences-Exploration Geochemistry from UNSW, where his research areas encompass mineral exploration, geothermal energy, and applied geochemistry. His accomplishments include being an IWY CERC Fellow at CSIRO ARRC, a Fulbright Scholar, and receiving notable awards like IAMG "Founders Scholarship" and "Andrei Borisovich Vistelius Research Award". He is an Associate Editor for esteemed journals like "Ore Geology Reviews", "Geochemistry", and "Ore and Energy Resource Geology". Behnam's diverse industry experience spans exploration geology, project management, and consulting. He has contributed to global projects involving diverse mineral deposits. His role as an instructor, mentor, and communicator underscores his dedication to the field. Currently affiliated with CSIRO and various academic institutions, Behnam is making significant contributions to the geoscience community and fostering innovative research.