Books > Social sciences > Politics & government
|
Buy Now
A Practical Primer on Geostatistics - Open-File Report 2009-1103 (Paperback)
Loot Price: R883
Discovery Miles 8 830
|
|
A Practical Primer on Geostatistics - Open-File Report 2009-1103 (Paperback)
Expected to ship within 10 - 15 working days
|
THE CHALLENGE Most geological phenomena are extraordinarily complex
in their interrelationships and vast in their geographical
extension. Ordinarily, engineers and geoscientists are faced with
corporate or scientific requirements to properly prepare geological
models with measurements involving a small fraction of the entire
area or volume of interest. Exact description of a system such as
an oil reservoir is neither feasible nor economically possible. The
results are necessarily uncertain. Note that the uncertainty is not
an intrinsic property of the systems; it is the result of
incomplete knowledge by the observer. THE AIM OF GEOSTATISTICS The
main objective of geostatistics is the characterization of spatial
systems that are incompletely known, systems that are common in
geology. A key difference from classical statistics is that
geostatistics uses the sampling location of every measurement.
Unless the measurements show spatial correlation, the application
of geostatistics is pointless. Ordinarily the need for additional
knowledge goes beyond a few points, which explains the display of
results graphically as fishnet plots, block diagrams, and maps.
GEOSTATISTICAL METHODS Geostatistics is a collection of numerical
techniques for the characterization of spatial attributes using
primarily two tools: probabilistic models, which are used for
spatial data in a manner similar to the way in which time-series
analysis characterizes temporal data, or pattern recognition
techniques. The probabilistic models are used as a way to handle
uncertainty in results away from sampling locations, making a
radical departure from alternative approaches like inverse distance
estimation methods. DIFFERENCES WITH TIME SERIES On dealing with
time-series analysis, users frequently concentrate their attention
on extrapolations for making forecasts. Although users of
geostatistics may be interested in extrapolation, the methods work
at their best interpolating. This simple difference has sig
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.