Post-Conference Workshop | WS08   View all workshops

Resource Estimation Masterclass

Date: August 30-31, 2023

Time: 9:00am - 5:00pm

Location: Hilton London Metropole | London, United Kingdom

Presenter: Tom Pratelli, Lais Hirata, and James Haythornthwaite

Attendee Maximum: 30

20% of spaces are reserved for students and offered at a discounted rate.

Fees and Registration


Tom, Lais, and James will provide a masterclass on the fundamentals of Mineral Resource Estimation. The course will combine theoretical presentations with practical exercises and demonstrations, utilizing Micromine as the primary teaching platform. This 2-day workshop will provide a high-level introduction to a typical Mineral Resource Estimation workflow, covering aspects including estimation domain design and modelling techniques, exploratory data analysis, data conditioning, geostatistical analysis, estimation approaches, block model validation techniques, Mineral Resource classification, and the importance of geology to all aspects of Mineral Resource Estimation.

Attendees will leave with a broad understanding of the fundamental processes and considerations involved in estimating Mineral Resources. All attendees will be provided with a full Micromine training license for the duration of the workshop.

Attendees will receive certificates of participation. View all workshops.

About the Presenters


Tom Pratelli


Tom is an experienced consultant and uses technology to solve challenges faced by the mining industry. Tom has worked for many different geological modelling and mine design software companies both as support and as a practicing geological consultant. He has a double master's (M.Sc.) in Geoscience and Mining Geology.


Lais Hirata


Lais is a mining engineer with experience in Open Pit design and Mine Planning. She is a Product Specialist at Micromine and she had also worked at Datamine as a consultant. Lais has worked in the mining industry since 2015 and has also worked at many different quarrying sites internationally.


James Haythornthwaite


James is a Principal Consultant at SRK (UK), who specializes in 3D geological modelling, resource estimation and the interpretation of structurally complex mineral deposits. James is an experienced geological modeler and resource practitioner, an expert user of implicit modelling software, and has developed and delivered geological modelling and resource estimation courses to clients globally. James has acted as technical lead for numerous resource mandates, ranging from exploration properties to established operating mines and has experience across a range of commodities, including precious metals, base metals, iron ore and colored gemstones, across Africa, Europe, Asia, and South America.


Day 1 - Wednesday, August 30

  • 9:00am - 10:30am: Introduction to Mineral Resource Estimation and Domaining presentation
  • 10:30am - 1:00pm: Domaining practical case study
  • 1:00pm - 2:00pm: Lunch
  • 2:00pm - 3:00pm: Domaining practical case study (continued)
  • 3:00pm - 3:30pm: Exploratory data analysis and data conditioning presentation
  • 3:30pm - 5:00pm: Data conditioning practical case study

Day 2 - Thursday, August 31

  • 9:00am - 10:00am: Geostatistical analysis and grade estimation presentation
  • 10:00am - 10:30am: Break
  • 10:30am - 1:00pm: Grade estimation practical case study
  • 1:00pm - 2:00pm: Lunch
  • 2:00pm - 3:00pm: grade estimation and validation practical case study (continued)
  • 3:00pm - 3:30pm: Break
  • 3:30pm - 5:00pm: Classification and reporting presentation and demonstration


Early Deadline: June 30, 2023
Regular Deadline: August 11, 2023

  Early Regular
SEG Professional Member US$895 US$895
Non-member US$995 US$995
All prices are in United States dollars (USD). SEG reserves the right to cancel this event should minimum attendance numbers not be met by June 30, 2023. All registrants will be given a full refund should SEG cancel the course. Cancellation policy, event photography, dietary restrictions, and more are detailed in the SEG Conference terms and conditions.