SRK at Mining Geology 2019

25-26 November | Perth, Australia
Technical presentation 
 
Destroying the distinction between explicit and implicit geological modelling
 
Monday 25 November, Session 3b
 
Mathematically and topologically there is a clear distinction between the terms explicit and implicit surface modelling. In the mining and financial industries, however, these terms have come to represent something else. To some people, they represent a divide, a division, a hard boundary (to use a geostatistical term) that is considered the border between good and evil. The misconception that a geological model made with the assistance of a so called implicit modelling tool is either better or worse that a model made with a so called traditional or explicit tool or methodology needs to be destroyed.
 
The same divide existed during the change over from sectional pencil and paper modelling to sectional computer based modelling and that was overcome (eventually). The same divide also existed (and still exists in some places) around the use of ordinary kriging instead of inverse distance for block estimation.
 
Implicit models still require significant amounts of “manual” input before they are fit for use. They still require the same levels of geological, volumetric and statistical validation. They still require peer review. The primary advantage of implicit modelling methods is speed, not accuracy, not unbiasedness, not detail, but speed. Speed leads to the ability to test multiple scenarios and models and allows for modelling by trial and error. Think – model – examine – accept / reject – modify – repeat until happy.
 
This presentation examines some history of methods of geological modelling, the origin of the term “implicit” in this context and proposes that there is not much that is implicit about “implicit” modelling.

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Presenter

Danny Kentwell
Principal Consultant (Resource Evaluation)
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Danny Kentwell is a geostatistician with a background in geological modelling, mine planning and surveying. He has 30 years’ international experience with varied commodities including gold, copper, mineral sands, iron ore, nickel laterites, nickel sulphides and phosphate. Danny’s skills cover 3D geological modelling, resource estimation and technical reviews as well as open pit optimisation scheduling and design. His software skills include Isatis, Leapfrog, EDGE, Supervisor, Surpac, Vulcan, Datamine, GEMS, Whittle and MineMax Scheduler. Danny is a Competent Person for JORC Code and a Qualified Person for NI 43-101 reporting of resources for numerous commodities and deposit types. Danny has experience with many change of support and selective mining unit scale estimation and simulation methods.

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