Basic linear geostatistics:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | German |
| Veröffentlicht: |
Berlin [u.a.]
Springer
1998
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XI, 153 S. graph. Darst. |
| ISBN: | 3540618457 |
Internformat
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| 100 | 1 | |a Armstrong, Margaret |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Basic linear geostatistics |c Margaret Armstrong |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 1998 | |
| 300 | |a XI, 153 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
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| 650 | 7 | |a Estatistica aplicada as geociencias |2 larpcal | |
| 650 | 7 | |a Géologie - Statistiques |2 ram | |
| 650 | 4 | |a Mines - Évaluation - Méthodes statistiques | |
| 650 | 7 | |a Mines - Évaluation - Méthodes statistiques |2 ram | |
| 650 | 7 | |a géostatistique |2 inriac | |
| 650 | 7 | |a méthode statistique |2 inriac | |
| 650 | 4 | |a Mine valuation |x Statistical methods | |
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Datensatz im Suchindex
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| adam_text | MARGARET ARMSTRONG BASIC LINEAR GEOSTATISTICS WITH 59 FIGURES SPRINGER
TABLE OF CONTENTS 1 INTRODUCTION 1 1.1 SUMMARY 1 1.2 INTRODUCTION 1 1.3
APPLICATIONS OF GEOSTATISTICS IN MINING 2 1.3.1 ESTIMATING THE TOTAL
RESERVES 2 1.3.2 ERROR ESTIMATES 2 1.3.3 OPTIMAL SAMPLE (OR DRILLHOLE)
SPACING 2 1.3.4 ESTIMATING BLOCK RESERVES 2 1.3.5 GRIDDING AND CONTOUR
MAPPING 3 1.3.6 SIMULATING A DEPOSIT TO EVALUATE A PROPOSED MINE PLAN 3
1.3.7 ESTIMATING THE RECOVERY 3 1.4 THE $64 QUESTION: DOES GEOSTATISTICS
WORK? 3 1.5 INTRODUCTORY EXERCISE 4 1.5.1 SELECTIVE MINING 5 1.5.2
OPTIMAL RECOVERY 6 1.5.3 INFORMATION EFFECT 7 1.5.4 SUPPORT EFFECT 8 1.6
DOES GEOSTATISTICS WORK IN THE REAL WORLD? 10 1.6.1 EARLY COAL CASE
STUDIES 10 1.6.2 GOLD CASE STUDIES 11 1.6.3 MORE RECENT CASE STUDIES 12
1.7 EXERCISES 12 2 REGIONALIZED VARIABLES 15 2.1 SUMMARY I .-.-!. 15
2.2 MODELLING REGIONALIZED VARIABLES 15 2.3 RANDOM FUNCTIONS 16 2.4
STATIONARY AND INTRINSIC HYPOTHESES 18 2.5 HOW TO DECIDE WHETHER A
VARIABLE IS STATIONARY 20 2.6 SPATIAL COVARIANCE FUNCTION 21 2.7
EXERCISES 23 VIII TABLE OF CONTENTS 3 THE VARIOGRAM 25 3.1 SUMMARY 25
3.2 DEFINITION OF THE VARIOGRAM 25 3.3 RANGE AND ZONE OF INFLUENCE 26
3.4 BEHAVIOUR NEAR THE ORIGIN 27 3.5 ANISOTROPIES 28 3.5.1 GEOMETRIC
ANISOTROPY 28 3.5.2 ZONAL (OR STRATIFIED) ANISOTROPY 30 3.6 PRESENCE OF
A DRIFT 30 3.7 NESTED STRUCTURES 31 3.8 PROPORTIONAL EFFECT 31 3.9 HOLE
EFFECTS AND PERIODICITY 32 3.10 MODELS FOR VARIOGRAMS 32 3.10.1 VARIANCE
OF ADMISSIBLE LINEAR COMBINATIONS 32 3.11 ADMISSIBLE MODELS 35 3.12
COMMON VARIOGRAM MODELS 36 3.12.1 NUGGET EFFECT 36 3.12.2 SPHERICAL
MODEL 37 3.12.3 EXPONENTIAL MODEL 37 3.12.4 POWER FUNCTIONS 37 3.12.5
GAUSSIAN MODEL 38 3.12.6 CUBIC MODEL 38 3.12.7 2D HOLE EFFECT MODEL 38
3.12.8 CARDINAL SINE MODEL 39 3.12.9 PRISMATO-MAGNETIC MODEL 39 3.12.10
PRISMATO-GRAVIMETRIC MODEL 39 3.13 SIMULATED IMAGES OBTAINED USING
DIFFERENT VARIOGRAMS 39 3.14 EXERCISES 40 4 EXPERIMENTAL VARIOGRAMS 47
4.1 SUMMARY 47 4.2 HOW TO CALCULATE EXPERIMENTAL VARIOGRAMS 47 4.3 IN
THE PLANE 48 4.4 IN THREE DIMENSIONS 48 4.5 EXAMPLE 1: REGULAR ID DATA
48 4.6 EXAMPLE 2: CALCULATING EXPERIMENTAL VARIOGRAMS IN 2D 50 4.7 * ,
VARIOGRAM CLOUD 52 4.8 FITTING A VARIOGRAM MODEL 53 4.9 TROUBLESOME
VARIOGRAMS 54 4.9.1 OUTLIERS 54 4.9.2 PSEUDO-PERIODIC HICCUPS 55 4.9.3
ARTEFACTS 56 4.10 EXERCISES 57 TABLE OF CONTENTS IX 5 STRUCTURAL
ANALYSIS 59 5.1 SUMMARY 59 5.2 STEPS IN A CASE STUDY 59 5.2.1 STEP 1:
COLLECT AND CHECK DATA 60 5.2.2 THE DECISIONS TO BE MADE 60 5.2.3
STANDARD STATISTICS 62 5.3 CASE STUDIES 63 5.4 AN IRON ORE DEPOSIT 63
5.4.1 VERTICAL VARIOGRAM 64 5.4.2 VARIOGRAM CLOUD 65 5.4.3 FITTING A
MODEL TO THE VERTICAL VARIOGRAM 65 5.4.4 HORIZONTAL VARIOGRAMS 66 5.4.5
3D VARIOGRAM MODEL 66 5.5 SECOND CASE STUDY: AN ARCHAEAN GOLD DEPOSIT
(M. HARLEY) 68 5.6 THIRD CASE STUDY: A WITWATERSRAND GOLD DEPOSIT (M.
THURSTON) .. 70 6 DISPERSION AS A FUNCTION OF BLOCK SIZE 73 6.1 SUMMARY
73 6.2 THE SUPPORT OF A REGIONALIZED VARIABLE 73 6.2.1 DISPERSION VERSUS
BLOCK SIZE 74 6.3 VARIANCE OF A POINT WITHIN A VOLUME 76 6.4 VARIANCE OF
V WITHIN V 76 6.5 KRIGE S ADDITIVITY RELATION 77 6.6 EXERCISE:
STOCKPILES TO HOMOGENIZE COAL PRODUCTION 78 6.6.1 SOLUTION 78 6.7 CHANGE
OF SUPPORT: REGULARIZATION 79 6.8 EXERCISE: CALCULATING REGULARIZED
VARIOGRAMS 79 6.8.1 SOLUTION 80 6.9 EXERCISES 81 7 THE THEORY OF KRIGING
83 7.1 SUMMARY 83 7.2 THE PURPOSE OF KRIGING 83 7.3 DERIVING THE KRIGING
EQUATIONS 84 7.4 DIFFERENT KRIGING ESTIMATORS Y 85 7.5 ORDINARY KRIGING
86 7.6 THE OK EQUATIONS FOR INTRINSIC REGIONALIZED VARIABLES 89 7.7
EXERCISE: ORDINARY KRIGING OF A BLOCK 90 7.7.1 SOLUTION 90 7.8 KRIGING
THE VALUE OF THE MEAN 92 7.9 SIMPLE KRIGING 93 7.10 THE ADDITIVITY
THEOREM 94 7.11 SLOPE OF THE LINEAR REGRESSION 96 7.12 KRIGING IS AN
EXACT INTERPOLATOR 97 7.13 GEOMETRIC EXERCISE SHOWING THE MINIMIZATION
PROCEDURE 98 X TABLE OF CONTENTS 7.13.1 QUADRATIC FORM TO BE MINIMIZED
99 7.14 EXERCISES 101 8 PRACTICAL ASPECTS OF KRIGING 103 8.1 SUMMARY 103
8.2 INTRODUCTION 103 8.3 NEGATIVE WEIGHTS 104 8.4 HOW THE CHOICE OF THE
VARIOGRAM MODEL AFFECTS KRIGING 107 8.4.1 SIMILAR LOOKING VARIOGRAMS 107
8.^.2 THE EFFECT OF THE CHOICE OF THE NUGGET EFFECT 108 8.5 SCREEN
EFFECT 109 8.6 SYMMETRY IN THE EQUATIONS 112 8.7 TESTING THE QUALITY OF
A KRIGING CONFIGURATION 114 8.7.1 EXAMPLE: ADDING EXTRA SAMPLES IMPROVES
THE QUALITY OF THE ESTIMATE 115 8.8 CROSS-VALIDATION 115 9 CASE STUDY
USING KRIGING 117 9.1 SUMMARY 117 9.2 IRON ORE DEPOSIT 117 9.2.1 GRID
SIZE FOR KRIGING 118 9.3 POINT KRIGING USING A LARGE NEIGHBOURHOOD 118
9.4 BLOCK KRIGING USING A LARGE NEIGHBOURHOOD 118 9.5 POINT KRIGING
USING SMALLER NEIGHBOURHOODS 121 9.5.1 WHAT IS CAUSING THE UGLY
CONCENTRATION OF LINES? 121 9.5.2 HOW TO ELIMINATE THESE CONCENTRATIONS
OF CONTOUR LINES 123 9.6 KRIGING SMALL BLOCKS FROM A SPARSE GRID 124
9.6.1 WHAT SIZE BLOCKS CAN BE KRIGED? 126 10 ESTIMATING THE TOTAL
RESERVES 127 10.1 SUMMARY 127 10.2 CAN KRIGING BE USED TO ESTIMATE
GLOBAL RESERVES? 127 10.3 EXTENSION VARIANCE TF 128 10.4 RELATIONSHIP TO
THE DISPERSION VARIANCE 130 10.5 AREA KNOWN TO BE MINERALIZED 130 10.5.1
DIRECT COMPOSITION OF TERMS 130 10.5.2 COMPOSITION BY LINE AND SLICE
TERMS 132 10.6 WHEN THE LIMITS OF THE OREBODY ARE NOT KNOWN A PRIORI 134
10.7 OPTIMAL SAMPLING GRIDS 136 10.7.1 FOR THELKM GRID 137 10.7.2 FORTHE
500M GRID 137 10.8 EXERCISES 138 TABLE OF CONTENTS XI APPENDIX 1: REVIEW
OF BASIC MATHS CONCEPTS 141 AL WHAT MATHS SKILLS ARE REQUIRED IN LINEAR
GEOSTATISTICS 141 AL.L MEANS AND VARIANCES 141 A1.2 SINGLE AND DOUBLE
SUMMATIONS 142 A1.3 EXERCISES USING SUMMATIONS 143 APPENDIX 2: DUE
DILIGENCE AND ITS IMPLICATIONS 145 A2.1 STRICTER CONTROLS ON ORE
EVALUATION 145 A2.2 DUE DILIGENCE 145 A2.3 THE LOGBOOK 145 REFERENCES
147 INDEX 151 AUTHOR INDEX 154
|
| any_adam_object | 1 |
| author | Armstrong, Margaret |
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| author_sort | Armstrong, Margaret |
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| callnumber-first | T - Technology |
| callnumber-label | TN272 |
| callnumber-raw | TN272.7 |
| callnumber-search | TN272.7 |
| callnumber-sort | TN 3272.7 |
| callnumber-subject | TN - Mining Engineering and Metallurgy |
| classification_rvk | RB 10103 |
| ctrlnum | (OCoLC)845375552 (DE-599)BVBBV012102619 |
| dewey-full | 622 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 622 - Mining and related operations |
| dewey-raw | 622 |
| dewey-search | 622 |
| dewey-sort | 3622 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Bergbau / Hüttenwesen Geographie |
| format | Book |
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| illustrated | Illustrated |
| indexdate | 2024-07-09T18:21:43Z |
| institution | BVB |
| isbn | 3540618457 |
| language | German |
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| physical | XI, 153 S. graph. Darst. |
| publishDate | 1998 |
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| publishDateSort | 1998 |
| publisher | Springer |
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| spelling | Armstrong, Margaret Verfasser aut Basic linear geostatistics Margaret Armstrong Berlin [u.a.] Springer 1998 XI, 153 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Estatistica aplicada as geociencias larpcal Géologie - Statistiques ram Mines - Évaluation - Méthodes statistiques Mines - Évaluation - Méthodes statistiques ram géostatistique inriac méthode statistique inriac Mine valuation Statistical methods Geostatistik (DE-588)4020279-3 gnd rswk-swf Geostatistik (DE-588)4020279-3 s DE-604 HEBIS Datenaustausch Darmstadt application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008194883&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Armstrong, Margaret Basic linear geostatistics Estatistica aplicada as geociencias larpcal Géologie - Statistiques ram Mines - Évaluation - Méthodes statistiques Mines - Évaluation - Méthodes statistiques ram géostatistique inriac méthode statistique inriac Mine valuation Statistical methods Geostatistik (DE-588)4020279-3 gnd |
| subject_GND | (DE-588)4020279-3 |
| title | Basic linear geostatistics |
| title_auth | Basic linear geostatistics |
| title_exact_search | Basic linear geostatistics |
| title_full | Basic linear geostatistics Margaret Armstrong |
| title_fullStr | Basic linear geostatistics Margaret Armstrong |
| title_full_unstemmed | Basic linear geostatistics Margaret Armstrong |
| title_short | Basic linear geostatistics |
| title_sort | basic linear geostatistics |
| topic | Estatistica aplicada as geociencias larpcal Géologie - Statistiques ram Mines - Évaluation - Méthodes statistiques Mines - Évaluation - Méthodes statistiques ram géostatistique inriac méthode statistique inriac Mine valuation Statistical methods Geostatistik (DE-588)4020279-3 gnd |
| topic_facet | Estatistica aplicada as geociencias Géologie - Statistiques Mines - Évaluation - Méthodes statistiques géostatistique méthode statistique Mine valuation Statistical methods Geostatistik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008194883&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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