000 06305nam a22004335i 4500
001 978-94-007-4153-9
003 DE-He213
005 20140220083345.0
007 cr nn 008mamaa
008 120507s2012 ne | s |||| 0|eng d
020 _a9789400741539
_9978-94-007-4153-9
024 7 _a10.1007/978-94-007-4153-9
_2doi
100 1 _aAbrahamsen, Petter.
_eeditor.
245 1 0 _aGeostatistics Oslo 2012
_h[electronic resource] /
_cedited by Petter Abrahamsen, Ragnar Hauge, Odd Kolbjørnsen.
264 1 _aDordrecht :
_bSpringer Netherlands,
_c2012.
300 _aXIV, 559p. 289 illus., 151 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aQuantitative Geology and Geostatistics,
_x0924-1973 ;
_v17
505 0 _aForeword -- Preface -- Acknowledgements -- Part I Theory -- Sequential simulation with iterative methods -- Applications of randomized methods for decomposing and simulating from large covariance matrices -- Event-based geostatistical modeling: description and applications -- A plurigaussian model for simulating regionalized compositions -- New flexible non-parametric data transformation for trans-Gaussian kriging -- Revisiting the linear model of coregionalisation -- Modeling nonlinear beta probability fields -- Approximations of high-order spatial statistics through decomposition -- Multiple-point geostatistical simulation based on genetic algorithms implemented in a shared-memory supercomputer -- The edge effect in geostatistical simulations -- Extensions of the parametric inference of spatial covariances by maximum likelihood -- Part II Petroleum -- Constraining a heavy oil reservoir to temperature and time lapse seismic data using the EnKF -- Micro-modeling for enhanced small scale porosity-permeability relationships -- Applications of data coherency for data analysis and geological zonation -- Multiscale modeling of fracture network in a carbonate reservoir -- Uncertainty quantification and feedback control using a model selection approach applied to a polymer flooding process -- Efficient conditional simulation of spatial patterns using a pattern-growth algorithm -- Multiple-point statistics in a non-gridded domain: application to karst/fracture network modeling -- Sequential simulations of mixed discrete-continuous properties: sequential Gaussian mixture simulation -- Accounting for seismic trends in stochastic well correlation -- Some newer algorithms in joint categorical and continuous inversion problems around seismic data -- Non-random discrete fracture network modelling -- Part III Mining -- Kriging and simulation in presence of stationary domains: -- Developments in boundary modeling -- Assessing uncertainty in recovery functions: a practical approach -- Comparative study of localized block simulations and localized uniform conditioning in the multivariate case -- Application of stochastic simulations and quantifying uncertainties in the drilling of roll front uranium deposits -- Multivariate estimation using log ratios: a worked alternative -- Measuring the impact of the change of support and information effect at olympic dam -- Comparative study of two gaussian simulation algorithms, Boddington gold deposit -- Non-multi-gaussian multivariate simulations with guaranteed reproduction of inter-variable correlations -- Field parametric geostatistics—a rigorous theory to solve problems of highly skewed distributions -- Multiple-point geostatistics for modeling lithological domains at a Brazilian iron ore deposit using the single normal equations simulation algorithm -- Practical implementation of non-linear transforms for modeling geometallurgical variables -- Combined use of lithological and grade simulations for risk analysis in iron ore, Brazil -- The use of geostatistical simulation to optimize the homogenization and blending strategies -- Plurigaussian simulations used to analyze the uncertainty in resources estimation from a lateritic nickel deposit -- Domaining by clustering multivariate geostatistical data -- The influence of geostatistical techniques on geological uncertainty -- Part IV Environmental, climate and hydrology -- A study on how top-surface morphology influences the storage capacity of CO2 in saline aquifers -- Modeling and analysis of daily rainfall data -- A stochastic model in space and time for monthly maximum significant wave height -- Interpolation of concentration measurements by kriging using flow coordinates -- A comparison of methods for solving the sensor location problem -- Comparing geostatistical models for river networks -- Author index -- Subject index.
520 _aThis book consists of 44 technical papers presented at the Ninth International Geostatistics Congress held in Oslo, Norway in June 2012. The papers have been reviewed by a panel of specialists in Geostatistics. The book is divided into four main sections: Theory; Petroleum; Mining; and Environment, Climate and Hydrology. The first section focuses on new ideas of general interest to many fields of applications. The next sections are more focused on the particular needs of the particular industry or activity.   Geostatistics is vital to any industry dependent on natural resources. Methods from geostatistics are used for estimating reserves, quantifying economical risk and planning of future industrial operations. Geostatistics is also an important tool for mapping environmental hazard and integrating climate data.
650 0 _aGeography.
650 0 _aMineralogy.
650 1 4 _aEarth Sciences.
650 2 4 _aGeotechnical Engineering & Applied Earth Sciences.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650 2 4 _aMineralogy.
700 1 _aHauge, Ragnar.
_eeditor.
700 1 _aKolbjørnsen, Odd.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789400741522
830 0 _aQuantitative Geology and Geostatistics,
_x0924-1973 ;
_v17
856 4 0 _uhttp://dx.doi.org/10.1007/978-94-007-4153-9
912 _aZDB-2-SMA
999 _c104722
_d104722