Geostatistical reservoir modeling / Michael J.Pyrcz; Clayton V. Deutsch

By:

Pyrcz, Michael J [aut]

Contributor(s):

Deutsch, Clayton V [aut]

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Oxford : Oxford University Press, [2014]Edition: 2nd edition (Online-Ausg.)Description: Online-Ressource (1 online resource (1 online resource.))ISBN:

9780199358830
9781306372831
1306372836

Subject(s): Additional physical formats: 9780199731442 | 1306372267 | Druckausg.: Geostatistical reservoir modeling. 2. ed. New York, NY [u.a.] : Oxford Univ. Press, 2014. VII, 433 S.RVK: RVK: RB 10103 | TG 1100LOC classification:

TN870.53

Online resources:

Zugang im Netz des KIT

Summary: A revised edition that provides a full update on the most current methods, tools, and research in petroleum geostatistics.Summary: Cover -- CONTENTS -- PREFACE -- ACKNOWLEDGMENTS -- 1 Introduction -- 1.1 COMMENTS ON SECOND EDITION -- 1.2 PLAN FOR THE BOOK -- 1.3 KEY CONCEPTS -- 1.4 MOTIVATION FOR RESERVOIR MODELS -- 1.5 DATA FOR RESERVOIR MODELING -- 1.6 THE COMMON WORK FLOW -- 1.7 AN INTRODUCTORY EXAMPLE -- 1.8 WORK FLOW DIAGRAMS -- 2 Modeling Principles -- 2.1 PRELIMINARY GEOLOGICAL MODELING CONCEPTS -- 2.1.1 The Story -- 2.1.2 Geological Models -- 2.1.3 Geological Model Overview -- 2.1.4 Basin Formation and Filling -- 2.1.5 Reservoir Architecture -- 2.1.6 Example Stories and Reservoir Modeling Significance -- 2.1.7 Section Summary -- 2.2 PRELIMINARY STATISTICAL CONCEPTS -- 2.2.1 Geological Populations and Stationarity -- 2.2.2 Notation and Definitions -- 2.2.3 Bivariate Distributions -- 2.2.4 Q-Q Plots and Data Transformation -- 2.2.5 Data Transformation -- 2.2.6 Declustering and Debiasing -- 2.2.7 Histogram and Cross-Plot Smoothing -- 2.2.8 Monte Carlo Simulation -- 2.2.9 Parameter Uncertainty -- 2.2.10 Bayesian Statistics -- 2.2.11 Work Flow -- 2.2.12 Section Summary -- 2.3 QUANTIFYING SPATIAL CORRELATION -- 2.3.1 The Random Function Concept -- 2.3.2 Calculating Experimental Variograms -- 2.3.3 Interpreting Experimental Variograms -- 2.3.4 Horizontal Variograms -- 2.3.5 Variogram Modeling -- 2.3.6 Cross Variograms -- 2.3.7 Multiple-Point Statistics -- 2.3.8 Volume Variance Relations -- 2.3.9 Work Flow -- 2.3.10 Section Summary -- 2.4 PRELIMINARY MAPPING CONCEPTS -- 2.4.1 Kriging and Cokriging -- 2.4.2 Sequential Gaussian Simulation -- 2.4.3 Indicator Formalism -- 2.4.4 P-Field Methods -- 2.4.5 Multiple-Point Simulation -- 2.4.6 Object-Based Simulation -- 2.4.7 Optimization Algorithms for Modeling -- 2.4.8 Accounting for Trends -- 2.4.9 Alternatives for Secondary Data Integration -- 2.4.10 Work Flow -- 2.4.11 Section Summary -- 3 Modeling Prerequisites.PPN: PPN: 807405841Package identifier: Produktsigel: ZDB-26-MYL | ZDB-30-PAD | ZDB-30-PQE | BSZ-30-PQE-K1DLR

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