Contamination characterization with multivariate geostatistics and sampling optimization | Training course
Learn how to reduce map uncertainty by adding extra points or by using a multivariate geostatistical approach to integrating auxiliary data.
Objectives
- Understand and implement multivariate geostatistics to reduce estimation uncertainty by taking advantage of the correlation between in situ measurements (count or dose rate) and activity concentration or between easy-to-measure nuclides
and hard-to-detect nuclides. - Make the best use of all available data, quantitative and/or semi-quantitative.
- Perform coherent and simultaneous characterizations for multiple contaminations on the same site.
Outlines
- Half of the course is devoted to methodological presentations, the second half to practical exercises on real-life cases to deepen the understanding of concepts. Focus is on illustrations and practical contribution of the covered concepts.
- Computer exercises with Kartotrak.
- Course material provided.
Who should attend
Engineers, technicians, consultancies, project owners, prime contractors, public bodies, industrial operators who wish to go further with geostatistics.
Course content
Part 1: Map the contamination taking auxiliary data into account
- Analyze the correlations between the different types of available measurements, quantitative and semi-quantitative: count or dose rate, other nuclides, DEM, soil occupation, lithology, etc.
- Highlight the spatial relationships between variables: cross-variogram calculation and modeling.
- Integrate one or several secondary variables in the interpolation: find out more about the co-kriging and co-simulation principles and implement the methodologies.
- Compare the added value of the multivariate estimates to the univariate estimates.
Part 2: Optimize the density and location of sampling points
- Design the initial sampling plan: random, systematic, circular, judgmental.
- Compute the probability to reach a hot spot according to the sampling mesh and the expected contamination size.
- Optimize the number and location of additional data points to improve the initial characterization.
- Reduce false-negative risks for better waste classification.
Prerequisites
To have attended the course 2D mapping of radiological contaminations using geostatistics or have good basic knowledge in geostatistics (variography, kriging).
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.