Kriging and Kriging Neighborhood Analysis | Training course
Learn how to use KNA to optimize the quality of your mineral resource estimates
Objective
This 1-day course is a sound and complete presentation to the notion of quantitative optimisation of estimation search neighbourhoods.
Key Features
Defining a neighborhood for estimation involves specifying the orientation and dimensions of the three dimensional volume used to select the samples used in estimation as well as specifying the actual number of samples to be used in the estimation process.
Correctly defined search neighborhoods are essential to the estimation process as they help reduce the risk of conditional bias (overestimation of high grades and underestimation of low grades). The course looks at how the quantitative measures provided by the geostatistical framework to quantify the quality of estimation may be used to help optimise the definition of the search neighborhoods.
Who should attend
This course is aimed at resource geologists wanting to develop their understanding of the concepts, applications and benefits of quantitative kriging neighbourhood analysis.
Course content
An ultra rapid referesher on linear geostatistics
- Exploratory Data Analysis
- Experimental Variography
- Variogram Modeling
Using the variogram model to optimise:
- The block size,
- The orientation and dimensions of search volumes,
- The number of samples.
Automation of testing and reporting in Isatis
- Journal Files
- Summary Graphs
Prerequisites
Notion of Linear Geostatistics (domaining, variography).
Upon request
Training – Registration policy
Qualiopi label, a guarantee of the quality of our training
Our training courses are Qualiopi certified. That means that they comply with a unique French national quality reference system. This recognition guarantees the quality of the training courses we deliver and allows our trainees to be eligible for various French funding.
Registration Fee
Class fees include one set of course materials and one full Isatis license valid for one month.
Attendees are invited to use their own laptop for computer exercises. A temporary demo version of the software package(s) used for this purpose (i.e. Isatis, Isatis.neo or Kartotrak) will be freely supplied by Geovariances.
For courses to be held in Geovariances only, if you are unable to bring your own laptop during the training session, be sure to inform your sales contact and Geovariances will endeavour to provide you with a computer for the session duration.
Please note that admission will be only confirmed on receipt of your formal purchase order and after full payment.
Payment
Geovariances will invoice your company for the approved course cost amount in full unless cancellation notice has been given 10 working days before the course date.
Payment is required prior to the course to confirm the registration.
Payment options: credit card (American Express is not accepted – please provide with your card details) or wire transfer to BRED Fontainebleau HDV – IBAN number: FR76 1010 7003 2700 0302 7055 623.
Venue
Courses can be organized in or outside Geovariances premises (hotel, client premises). Please refer to the course description for more details.
Training hours are from 9:00 am to 5:00 p.m. unless otherwise specified.
Accomodation
Fee does not cover hotel accommodation. Attendees should make their own reservations directly.
Cancellation
No refund will be made for cancellation notified by a registered participant to Geovariances within 2 weeks (10 working days) prior to the course or for ’no shows’.
Attendee can be substituted.
Geovariances reserves the right to cancel a session if the minimum number of registrations is not reached and to schedule an additional session if the number of registrations is in excess of the maximum number of attendees.
Queries
Should you have any question or need further information, do not hesitate to contact us.