Geostatistics Petroleum Geology
The objective of petroleum geostatistics is to learn the basic geological and statistical concepts used to characterise hydrocarbon reservoirs. This course will teach you how to use geostatistical tools to create high quality petroleum reservoir models. Fundamental techniques such as kriging and sequential simulation will be covered along with more recent developments, for instance, Boolean methods and multipoint geostatistics.
This course covers some theory but is mainly focused on practical applied procedures that can be used to create models. Participants will employ an easy-to-use modeling software to put many of the techniques into practice by building basic models. The class culminates with a multipart project that incorporates much of what was learned during the week.
WHAT YOU WILL LEARN:
Upon completion of this course, you will
- be able to build a reservoir model from available geologic and engineering data
- understand when to use particular techniques for model building and
- know the general concepts and equations behind the techniques
- Introduction to petroleum geostatistics: Why? When? & How?
- Review statistics & linear algebra
- Data analysis
- Geological continuity
- Simple and ordinary kriging
- Advanced kriging techniques
- Sequential simulation I
- Sequential simulation II
- Boolean/object based techniques
- Flow based modeling techniques
- Multiple-point geostatistical models
- Incorporating secondary data-CoKriging
- Incorporating secondary data-CoSimulation
WHO SHOULD ATTEND:
This course is aimed at the point where geoscientists and engineers intersect. People from either discipline who want to use geostatistics to create better reservoir models will find this course beneficial.
You might also like
Brutal murder in South Africa
Lonmin workers on strike after shooting in South Africa
Pistorius trial underway in South Africa
Anything new about stirling engines in Cal?
Looking for an update. Everything I find from google news is almost a year old. This is from the stirling engine deal with Southern Edison to build a 500MW plant outside of LA.
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."
4,000 Year Old Greenlander
WASHINGTON (Reuters) â Scientists have sequenced the DNA from four frozen hairs of a Greenlander who died 4,000 years ago in a study they say takes genetic technology into several new realms.
Surprisingly, the long-dead man appears to have originated in Siberia and is unrelated to modern Greenlanders, Morten Rasmussen of the University of Copenhagen and colleagues found.
"This provides evidence for a migration from Siberia into the New World some 5,500 years ago, independent of that giving rise to the modern Native Americans and Inuit," the researchers wrote in Thursday's issue of the journal Nature
Solar study: U of M students seek state's sunniest places — Rick Kupchella's BringMeTheNews
The students are using geographic information systems technology and Lidar data, which is 3D aerial imaging of the Earth's surface, gathered by aircraft with laser-based technology, the students note in a 10-minute video that explains the project (below).
Geostatistics and Petroleum Geology
Book (Kluwer Academic Pub 01/1//1998)
Geostatistics and Petroleum Geology (Computer Methods in the Geosciences)