About the course
The Citation in Applied Geostatistics fits an important niche between the conventional one-week short course and the 2‑year master’s degree program. It is ideally suited to those from industry who seek a more in depth understanding of modern geostatistical tools. Restricted to Applied Geostatistics program students.
Course at a glance
- This 168-hour course constitutes the entirety of the Citation Program in Applied Geostatistics (CPAG) and provides learners with knowledge and skills that will allow them to better quantify resources and reserves.
- Aimed at geoscientists, as well as mining and petroleum engineers.
- Participants are required to hold a minimum of an undergraduate degree (bachelor’s degree in engineering, geoscience, or related field). Official transcripts or approved alternative proof of admission requirements compliance must be received prior to course registration.
What you will learn
Building on your experience and prior education, this course will help you to:
- Understand the place of geostatistical models of heterogeneity and uncertainty in modern resource/reserve evaluation.
- Explore and apply simulation/uncertainty management concepts.
- Acquire knowledge in topics such as geologic rock types and stochastic modeling, trends and non-stationarity, variograms for spatial continuity modeling, kriging for optimal estimation of resources, and multivariate modeling.
- Learn about important geostatistical concepts and tools.
- Apply specialized knowledge and skills for enhanced job performance and career advancement.
My research develops best-practice for prediction of geospatial variables with uncertainty. Theoretical developments are aimed at discovering techniques for improved modelling of natural heterogeneity and uncertainty. Computational and tradecraft developments facilitate application of the theory ...
Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.