Reservoir Characterization. Группа авторов

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      1 Chapter 3Table 3.1 Mean values of false and true discovery rates for three classifers in ...Table 3.2 Mean and three quantiles of distribution of AUC values.Table 3.3 Percent of values of anomalyIndicator exceeding significance cutoff α ...

      2 Chapter 4Table 4.1 Results of TOC and Rock-Evaol Pyrolysis for the rock samples analyzed.Table 4.2 Typical biomarker characteristics of shale and carbonate-derived hydro...

      3 Chapter 6Table 6.1 Prior rates of false discovery of anomalous clusters, and cluster sets...Table 6.2 Parameters of clusters, labeled as anomalous with individual cluster a...Table 6.3 Thresholds, true, and false discovery rates of anomalous records using...

      4 Chapter 7Table 7.1 Dissimilarities among values of 14 parameters in 4 combinations of gas...Table 7.2 AUC values for four classification methods and 14 predictor parameters...

      5 Chapter 8Table 8.1 Input parameters for Example 1.Table 8.2 Comparison of analyses for Example 1.Table 8.3 Input parameters for Example 2.Table 8.4 Comparison of analyses for Example 2.Table 8.5 Input parameters for Example 3.Table 8.6 Simulation input vs. analysis results for Example 3.Table 8.7 Input parameters for Example 4.Table 8.8 Simulation input vs. analysis results for Example 4.

      6 Chapter 9Table 9.1 Percent of identified outliers among individual forecasts for five val...Table 9.2 Number of outliers at the output of the first level committee machine....Table 9.3 Bias of the forecast with four predictors for four permeability models...Table 9.4 Absolute bias of the output of first level committee machine produced ...Table 9.5 Root Mean Squared error (mD) for individual forecasts with hybrid mode...Table 9.6 Mean instability of individual forecasts with hybrid model for the rec...Table 9.7 Outliers of permeability forecasts with multiplicative model and their...

      7 Chapter 11Table 11.1 Parameters of distribution of a number of individual forecasts for in...Table 11.2 Percent of identified outliers among individual forecasts for five va...Table 11.3 Mean absolute bias of the forecasts by Monte Carlo committee machines...Table 11.4 Instability index of individual forecasts with six machine learning m...Table 11.5 Correlation coefficients between outputs of Monte Carlo committee mac...Table 11.6 Instability of individual forecasts for eight permeability records.

      8 Chapter 13Table 13.1 Example of the estimated parameters of the SEPD-type decline curve.Table 13.2 Example of estimated covariance matrix for parameters of SEPD decline...Table 13.3 Monte Carlo simulated coefficients of the SEPD model. Mean 10,000: me...Table 13.4 Forecasted mean and median production values derived from Monte Carlo...

      9 Chapter 14Table 14.1 Model variables and definitions.Table 14.2 Integrated oil company reserves and financial data (2010).Table 14.3 Statistical summary of the independent oil and gas companies sampled ...Table 14.4 Regression results of integrated oil companies (2010).Table 14.5 Regression results of independent oil companies (2010). CAP.Table 14.6 Regression results of independent oil companies – three independent v...Table 14.7 Regression results of independent oil companies – four independent va...Table 14.8 Estimated reserves and assets of private companies (2010).Table 14.9 Effective market capitalization of National Oil Companies in OPEC (20...Table 14.10 Actual and computed market capitalization of companies outside North...Table A.1 Sample of independent oil producers³ (2010).Table A.2 Sample of independent gas producers^a (2010).

      10 Chapter 15Table 15.1 Data used in comparison of analytical solutions.

      11 Chapter 16Table 16.1 Well and operation parameter values in drilling well NGHP-01-17A.Table 16.2 Estimated material properties in drilling well NGHP-01-17A.

      12 Chapter 18Table 18.1 Uniaxial compressive strength of typical shales [28] (Steiger and Leu...Table 18.2 Summary of difference in strength for the upper & middle woodford sha...Table 18.3 Different mineral constituents of three-layer formation [47] (Marouby...Table 18.4 Where φ is porosity; Sw is water saturation; E is Young’s modulus, ps...Table 18.5 The result of error analysis.

      13 Chapter 19Table 19.1 Parameters used in simulation.Table 19.2 Oil and water relative permeability data with water flooding.Table 19.3 Oil and water relative permeability data with nanofuids flooding.Table 19.4 Geometric parameters of the model.Table 19.5 Base data for model analysis.Table 19.6 Oil recovery and mass of trapped nanoparticle under different injecti...Table 19.7 Oil recovery and nanoparticles trapped under different slug size.Table 19.8 Oil recovery and nanoparticle recovery under different flow rate rati...Table 19.9 Input data for 3D simulation.

      14 Chapter 20Table 20.1 The mean and standard deviation of apertures observed in the CT of Co...Table 20.2 Matrix porosity (ft³/ft³), permeability (mD.), and average cell thick...Table 20.3 Oil properties of the Tensleep reservoir at Teapot Dome, Wyoming [41]...Table 20.4 The oil sample composition at the surface condition [41].Table 20.5 The 8-components Peng-Robinson EOS parameters.

      15 Chapter 21Table 21.1 Chemical EOR input and output data from [31].

      1  Cover

      2  Table of Contents

      3  Title page

      4  Copyright

      5  Foreword

      6  Preface

      7  Begin Reading

      8  Index

      9  Also of Interest

      10  End User License Agreement

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      5  xxiii СКАЧАТЬ