Mentoring and instruction can be stand-alone in nature or can form part of broader consulting assignments. In addition to frequent presentations to clients, Bill Sheppard has presented to the SEG and IAEG, to university audiences including CODES and also to international conferences.
Workshop and presentation topics are tailor-made to meet client needs. A typically workshop presents an initial overview of the principal styles of deposits hosted by volcanic and sedimentary rocks. Then, based on consultation with the client, selected detailed case histories are selected and presented. A given workshop can incorporate sections on:
- Deposits hosted by volcanic and sedimentary rocks
- Volcanic Hosted Massive Sulphide (VHMS) deposits
- Sediment hosted Zn-Pb deposits (SEDEX and Irish Type)
- Core logging templates and strategies
- The approach and application of Mineral Deposit Anatomy (MDA)
An objective, empirical and quantitative approach to data collection is promoted at all times. Attendees are alerted to the dangers of pre-existing model-driven compilation.
Each Workshop Includes Presentation of:
- Selected deposit geology chosen from more than 20 study case histories
- Extensive photographic presentation of ores and host rocks
- Examples of drill core logging strategies and templates
- Impact assessment of studies on project priorities
- Discussion on geological risk and value adding geology
Most 3-D geological models are created from a combination of surface plans, underground mine plans and drillhole sections. It is urged that these 2-D datasets are rigorously created and verified for consistency before 3-D compilation begins. Each workshop emphasises:
- The importance of good geological observation and the efficient collection of prioritized Quantitative drill core data
- The need for Objectivity in drill core logging strategies and templates - ’Let the Rocks Speak’
- The positive impact of empirical geology on Project Efficiencies and Project Value
- The value of Mineralization Style Classification as a key to i) ore zone correlation, ii) grade distribution, iii) structural understanding, and iv) increased Resource model confidence.