The Citation Program in Applied Geostatistics program (CPAG) is designed to assist mining and petroleum engineers and geoscientists better pinpoint the resource bodies for which they search. This program fills an important niche between the conventional one-week short course and the two-year Masters degree program in the Faculty of Engineering. It is ideally suited to those from industry who seek a more in depth understanding of modern geostatistical tools.
- communicate the place of geostatistical models of heterogeneity and uncertainty in modern resource/reserve evaluation,
- explain geostatistical concepts and tools
- apply simulation / uncertainty management concepts
These objectives are met through classroom instruction, tutoring, and self-study. In addition to prepared assignments, each participant will undertake a realistic mini-project using their own data (if available) or provided data.
The main topics include:
- geologic rock types and stochastic modeling
- trends and non-stationarity
- variograms for spatial continuity modeling
- kriging for optimal estimation of resources
- simulation for uncertainty quantification
- multivariate modeling
- decision making in presence of uncertainty
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What geographical areas are best suited for a solar dish farm?
The southwest region of the United States is ideally suited for this. In fact, a solar farm 100 miles by 100 miles could satisfy 100% of the Americaâs annual electrical needs. Solar technology primarily addresses the peak power demands facing utility companies in the Southwest U.S. and other solar-rich areas.
The cost of living and job markets are better than the national average, but the best job strategy is not to go for averages, but look at your specific skills and experiences, figure out which careers that relates to, and then go to that geographical area:
technology - Silicon Valley
finance - New York
There are other factors to consider. How important are mountains? the ocean? good weather? I have met many midwesterners in Acapulco during the winter, and none ever told me
"I got to get back to Omaha. I just miss those snow covered plains."
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What is uncertainity in geostatistics and how to to assess the degree of uncertainity in field experiment?
This will depend on how your experiment is set up - the question you are asking with your experimental design - and how data is collected. In general, the best measure of uncertainty involves repetition, more data points - the more, the better. Lots of reps gives you a more accurate measure of standard deviation. But there are many designs. Before you set up an experiment, talk to a statistician to make sure the data you are collecting satisfies the assumptions of your statistical technique and actually answers the question you are asking.