Find out how to use kriging results for rapid and robust classification of mineral resources to Australian JORC mining code standards.
Speaker: Pedram Masoudi, Senior Geostatistician @Geovariances France
Mineral resource classification is essential for effective mine planning and management. By categorizing blocks based on the level of uncertainty in the estimated grade, classification allows for managing associated operational risks and developing appropriate mitigation strategies. Additionally, it facilitates the communication of mineral resource information among various stakeholders, promoting transparency and informed decision-making.
Join our webinar on Thursday, February 27, at 11:00 AM to discover how geostatistics enables reliable and precise mineral resource classification.
What you’ll learn:
– Resource classification basics – Inferred, Indicated, and Measured categories – Competent/Qualified Persons.
– Traditional distance-based vs. kriging-based methods – Strengths and limitations.
– Key numerical criteria – How to use the results of kriging and conditional simulations to quantify geological risk as a function of distance between boreholes and grade variability.
– Original technique – Spatial Sampling Density Variance (SSDV) for classification based on sampling spacing and variogram models.
– Live demonstration – See Isatis.neo in action.
Unavailable to attend this webinar live? Register anyway to access the replay later.
