RRE – Recoverable Resource Estimation by nonlinear geostatistics | Training course
Be at the forefront of mining geostatistics and learn how to estimate recoverable resources and assess the risks of your mining project using uniform conditioning, multiple indicator kriging, conditional expectation and geostatistical simulation.
Objectives
MODULE 1: UC/LUC – UNIFORM CONDITIONING AND LOCALIZATION
- Understand the limitation of kriging and smoothing effect in high drillholes spacing (during exploration), and the necessity of RRE methods to generate an unbiased grade-tonnage curve
- Understand the algorithm of UC, and apply support change and UC using Isatis.neo
- Generating grade, tonnage and metal quantities as a function of cut-off grades on the panels, to generate grade-tonnage curves and tables based on the UC output
- Learn the localization technique proposed for the blocks or Selective Mining Units (SMU) within a panel, as well as the challenges in a multivariate and/or multidomain dataset
MODULE 2: MIK – MULTIPLE INDICATOR KRIGING, CONDITIONAL EXPECTATION AND MULTI-GAUSSIAN KRIGING
- Understand the application domains of MIK and conditional expectation in the framework of the RRE, and learn the theories of MIK and conditional expectation
- How to apply MIK, conditional expectation and their variants, and updating grade-tonnage curves using Isatis.neo
MODULE 3: CONDITIONAL SIMULATIONS FOR CONTINUOUS VARIABLES
- Learn the theory of geostatistical simulations Turning Bands Simulation (TBS) and Sequential Gaussian Simulation (SGS), and understand their application limits
- How to perform block simulation, and direct block simulation, then postprocessing the results in the framework of the RRE to generate grade-tonnage curves using Isatis.neo
Application Domain
- Estimation of long-term resources by RRE methods
- Grade-tonnage curve estimation during exploration
Who should attend
Professionals involved in feasibility studies or medium to long-term planning who wish to deepen their theoretical and practical knowledge of mining geostatistics.
Course content
MODULE 1: UC/LUC – UNIFORM CONDITIONING AND LOCALIZATION
- Basic concepts of RRE
- Gaussian anamorphosis modelling
- Change of support: variance of core grade versus block grade
- Uniform conditioning
- Information effect
- Localized uniform conditioning
- Dealing with multi-domain and Multivariate deposits
- Grade-tonnage curves following UC/LUC
MODULE 2: MIK – MULTIPLE INDICATOR KRIGING, CONDITIONAL EXPECTATION AND MULTI-GAUSSIAN KRIGING
- Basic concepts of RRE
- Workflow of MIK and its variants
- MIK options and good practices in Isatis.neo
- Understanding advantages and disadvantages of MIK
- Grade-tonnage curves following MIK
- Basics of Conditional Expectation
- The theory of Conditional Expectation and its variants
- Ordinary multi-gaussian kriging
- Understanding the advantages and disadvantages of Conditional Expectation
- Available options in Isatis.neo geostatistical software: block and multivariate
- Grade-tonnage curves following Conditional Expectation
MODULE 3: CONDITIONAL SIMULATIONS FOR CONTINUOUS VARIABLES
- Basic concepts of RRE
- Introduction and general concepts of simulations
- Gaussian transformation modelling
- Conditional simulation methods in Isatis.neo software: TBS and SGS
- Direct block simulations
- Postprocessing results
- Grade-tonnage curves following simulations
TRAINING MATERIALS:
- Theory: Slides will be communicated
- Practice: Training licence of Isatis.neo geostatistical software will be attributed to the participants; as well as a typical mining dataset.
Prerequisites
- The course Mineral Resource Estimation covering the fundamental concepts of geostatistics for resource estimation offers an ideal basis for this advanced course.
- Basic knowledge of linear geostatistics is recommended.
- Basic knowledge of resource concepts would be appreciated: grade, tonnage, cut-off, etc.
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.