Distribution of Kriging error and stationarity of the variogram in a coal property
Journal Article
·
· Math. Geol.; (United States)
OSTI ID:6933915
If a particular distribution for kriging error may be assumed, confidence intervals can be estimated and contract risk can be assessed. Contract risk is defined as the probability that a block grade will exceed some specified limit. In coal mining, this specified limit will be set in a coal sales agreement. A key assumption necessary to implement the geostatistical model is that of local stationarity in the variogram. In a typical project, data limitations prevent a detailed examination of the stationarity assumption. In this paper, the distribution of kriging error and scale of variogram stationarity are examined for a coal property in northern West Virginia.
- Research Organization:
- Consolidation Coal Co., Pittsburgh, PA
- OSTI ID:
- 6933915
- Journal Information:
- Math. Geol.; (United States), Journal Name: Math. Geol.; (United States) Vol. 18:7; ISSN MATGE
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
01 COAL, LIGNITE, AND PEAT
011000 -- Coal
Lignite
& Peat-- Reserves
Geology
& Exploration
012000* -- Coal
Lignite
& Peat-- Mining
015000 -- Coal
Lignite
& Peat-- Economic
Industrial
& Business Aspects
COAL DEPOSITS
COAL MINES
COAL MINING
COAL RANK
COAL SEAMS
DATA COVARIANCES
DISTRIBUTION
ECONOMICS
ERRORS
FEDERAL REGION III
GEOLOGIC DEPOSITS
KRIGING
MATHEMATICAL MODELS
MATHEMATICS
MINERAL RESOURCES
MINES
MINING
NORTH AMERICA
RESOURCE ASSESSMENT
RESOURCES
RISK ASSESSMENT
STATISTICAL MODELS
STATISTICS
SULFUR CONTENT
UNDERGROUND FACILITIES
USA
WEST VIRGINIA
011000 -- Coal
Lignite
& Peat-- Reserves
Geology
& Exploration
012000* -- Coal
Lignite
& Peat-- Mining
015000 -- Coal
Lignite
& Peat-- Economic
Industrial
& Business Aspects
COAL DEPOSITS
COAL MINES
COAL MINING
COAL RANK
COAL SEAMS
DATA COVARIANCES
DISTRIBUTION
ECONOMICS
ERRORS
FEDERAL REGION III
GEOLOGIC DEPOSITS
KRIGING
MATHEMATICAL MODELS
MATHEMATICS
MINERAL RESOURCES
MINES
MINING
NORTH AMERICA
RESOURCE ASSESSMENT
RESOURCES
RISK ASSESSMENT
STATISTICAL MODELS
STATISTICS
SULFUR CONTENT
UNDERGROUND FACILITIES
USA
WEST VIRGINIA