Foreword |
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xiii | |
Part 1: Introduction |
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1 | (34) |
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1 Hydraulic Fracturing, An Overview |
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3 | (32) |
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1.1 What is Hydraulic Fracturing? |
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4 | (1) |
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1.2 Why Hydraulic Fracturing is Important |
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5 | (3) |
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1.3 Fracture Characterization |
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8 | (3) |
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1.4 Geomechanics of Hydraulic Fracturing |
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11 | (3) |
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1.5 Environmental Aspects of Hydraulic Fracturing |
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14 | (4) |
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18 | (5) |
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1.7 Case Study: Fracturing Induced Seismicity in California |
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23 | (4) |
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1.8 Assessment of Global Oil and Gas Resources Amenable for Extraction via Hydraulic Fracturing |
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27 | (1) |
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27 | (1) |
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28 | (2) |
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30 | (1) |
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30 | (5) |
Part 2: General Concepts |
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35 | (64) |
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2 Evolution of Stress Transfer Mechanisms During Mechanical Interaction Between Hydraulic Fractures and Natural Fractures |
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37 | (16) |
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37 | (2) |
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39 | (1) |
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2.3 Mathematical Formulation |
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40 | (3) |
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43 | (1) |
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44 | (2) |
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2.6 Effect of Hydraulic Fracturing on Natural Fractures |
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46 | (3) |
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49 | (1) |
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50 | (3) |
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3 Primer on Hydraulic Fracturing Concerning Initiatives on Energy Sustainability |
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53 | (26) |
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54 | (12) |
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3.1.1 Environmental Impact - Reality vs. Myth |
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54 | (1) |
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3.1.2 The Tower of Babel and How it Could be the Cause of Much of the Fracking Debate |
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55 | (2) |
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3.1.3 Frac Fluids and Composition |
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57 | (1) |
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3.1.4 Uses and Needs for Frac Fluids |
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57 | (1) |
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3.1.5 Common Fracturing Additives |
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58 | (2) |
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3.1.6 Typical Percentages of Commonly Used Additives |
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60 | (1) |
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61 | (1) |
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63 | (1) |
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3.1.6.3 Resin Coated Proppant |
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65 | (1) |
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3.1.6.4 Manufactured Ceramics Proppants |
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65 | (1) |
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66 | (1) |
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3.3 Other Most Common Objections to Drilling Operations |
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66 | (2) |
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67 | (1) |
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3.4 Changes in Landscape and Beauty of Surroundings |
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68 | (1) |
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69 | (1) |
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3.6 Chemicals and Products on Locations |
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70 | (7) |
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3.6.1 Material Safety Data Sheets (MSDS) |
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72 | (1) |
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3.6.1.1 Contents of an MSDS |
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73 | (1) |
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3.6.1.2 Product Identification |
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73 | (1) |
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3.6.1.3 Hazardous Ingredients of Mixtures |
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74 | (1) |
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74 | (1) |
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3.6.1.5 Fire & Explosion Hazard Data |
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75 | (1) |
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3.6.1.6 Health Hazard Data |
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76 | (1) |
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76 | (1) |
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3.6.1.8 Personal Protection Information |
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77 | (1) |
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77 | (1) |
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78 | (1) |
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4 A Graph Theoretic Approach for Spatial Analysis of Induced Fracture Networks |
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79 | (20) |
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4.1 Background and Rationale |
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80 | (3) |
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4.2 Graph-Based Spatial Analysis |
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83 | (4) |
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4.2.1 Acquire Geologic Data and Define Regional Bounding Lithology |
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84 | (1) |
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4.2.2 Details of the Topological Algorithm |
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85 | (1) |
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4.2.2.1 Data Acquisition, Conditioning and Quanta |
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85 | (1) |
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4.2.2.2 Details of the k-Nearest Neighbor Algorithm |
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86 | (1) |
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4.2.3 The Value of the Topological Approach Algorithm |
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86 | (1) |
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4.3 Real World Applications of the Algorithm |
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87 | (4) |
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4.3.1 Bradford Field: Contrasting the Graph-Based Approaches; k Sensitivity |
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87 | (1) |
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88 | (1) |
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88 | (1) |
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4.3.2 Armstrong PA: Testing the Algorithms Against a Known Leakage Scenario |
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88 | (1) |
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90 | (1) |
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90 | (1) |
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91 | (2) |
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4.4.1 Uses for Industry and Regulators |
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93 | (1) |
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93 | (1) |
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94 | (1) |
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94 | (5) |
Part 3: Optimum Design Parameters |
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99 | (60) |
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5 Fracture Spacing Design for Multistage Hydraulic Fracturing Completions for Improved Productivity |
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101 | (24) |
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101 | (2) |
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103 | (7) |
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5.2.1 Impact of Natural Fractures |
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104 | (3) |
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107 | (1) |
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108 | (1) |
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5.2.4 Need for Artificial Intelligence |
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109 | (1) |
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110 | (4) |
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114 | (7) |
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5.4.1 Applicability Considerations |
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120 | (1) |
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121 | (1) |
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122 | (1) |
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122 | (3) |
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6 Clustering-Based Optimal Perforation Design Using Well Logs |
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125 | (16) |
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126 | (1) |
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6.2 Objective and Motivation |
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127 | (1) |
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128 | (1) |
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129 | (2) |
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6.4.1 C-Means (FCM) Algorithm |
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130 | (1) |
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6.5 Methodology and Analysis |
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131 | (3) |
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131 | (3) |
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6.6 Applying the FCM Algorithm |
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134 | (2) |
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6.7 Results and Discussion |
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136 | (3) |
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139 | (1) |
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139 | (1) |
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139 | (2) |
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7 Horizontal Well Spacing and Hydraulic Fracturing Design Optimization: A Case Study on Utica-Point Pleasant Shale Play |
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141 | (18) |
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142 | (1) |
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143 | (4) |
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7.2.1 The Base Reservoir Simulation Model |
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143 | (4) |
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7.3 Optimization Scenarios |
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147 | (1) |
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7.4 Results and Discussion |
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148 | (6) |
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7.4.1 Base Reservoir Model - A Single Well Case |
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148 | (1) |
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7.4.2 Multi-Lateral Depletion - Finding the Optimum Number of Wells |
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148 | (3) |
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7.4.3 Completion Parameters |
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151 | (2) |
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7.4.4 Second Economic Scenario, Reducing the Cost of Completion |
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153 | (1) |
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154 | (2) |
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156 | (3) |
Part 4: Fracture Reservoir Characterization |
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159 | (84) |
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159 | (2) |
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161 | (2) |
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8 Geomechanical Modeling of Fault Systems Using the Material Point Method - Application to the Estimation of Induced Seismicity Potential to Bolster Hydraulic Fracturing Social License |
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163 | (18) |
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164 | (1) |
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8.2 The Social License to Operate (SLO) |
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165 | (1) |
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8.3 Regional Faults in Oklahoma, USA and Alberta, Canada used as Input in Geomechanical Modeling |
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166 | (2) |
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8.4 Modeling Earthquake Potential using Numerical Material Models |
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168 | (5) |
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8.5 A New Workflow for Estimating Induced Seismicity Potential and its Application to Oklahoma and Alberta |
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173 | (5) |
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8.6 The Benefits of a Large Scale Predictive Model and Future Research |
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178 | (1) |
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179 | (1) |
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179 | (1) |
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179 | (2) |
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9 Correlating Pressure with Microseismic to Understand Fluid-Reservoir Interactions During Hydraulic Fracturing |
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181 | (18) |
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181 | (1) |
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182 | (5) |
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9.2.1 Pressure Data Analysis |
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182 | (4) |
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9.2.2 Microseismic Data Analysis |
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186 | (1) |
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187 | (1) |
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188 | (8) |
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9.4.1 Pitfalls in Analysis |
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196 | (1) |
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196 | (1) |
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197 | (1) |
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197 | (2) |
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10 Multigrid Fracture Stimulated Reservoir Volume Mapping Coupled with a Novel Mathematical Optimization Approach to Shale Reservoir Well and Fracture Design |
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199 | (28) |
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200 | (3) |
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10.2 Problem Definition and Modeling |
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203 | (1) |
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10.2.1 Geometric Interpretation |
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203 | (1) |
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10.2.1.1 Fracture Geometry |
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203 | (1) |
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10.2.2 The Developed Model Flow Chart |
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204 | (1) |
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10.2.3 Well and Fracture Design Vector Components |
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204 | (1) |
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10.3 Development of a New Mathematical Model |
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204 | (8) |
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207 | (1) |
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10.3.2 Objective Function |
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207 | (1) |
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10.3.3 Assumptions and Constraints Considered in the Mathematical Model |
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207 | (1) |
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208 | (1) |
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208 | (1) |
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10.3.3.3 Decision Variables |
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208 | (1) |
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208 | (1) |
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10.3.3.5 Constant Parameters |
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209 | (1) |
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209 | (1) |
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10.3.4 Stimulated Reservoir Volume Representation |
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210 | (1) |
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10.3.5 Optimization Procedure |
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211 | (1) |
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212 | (4) |
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10.4.1 Simulation Model of Well Pad and SRV's Evaluation |
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214 | (2) |
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10.5 Results and Discussions |
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216 | (1) |
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10.6 Conclusions and Recommendations |
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216 | (2) |
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218 | (2) |
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Appendix A: Abbreviations |
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220 | (1) |
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Appendix B: Definition of the Fracturability Index Used in the Well Placement Process |
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220 | (1) |
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Appendix C: Geometric Interpretation of Parameters Used in Building the Model |
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221 | (6) |
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11 A Semi-Analytical Model for Predicting Productivity of Refractured Oil Wells with Uniformly Distributed Radial Fractures |
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227 | (16) |
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228 | (1) |
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229 | (2) |
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231 | (1) |
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11.4 Sensitivity Analysis |
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231 | (2) |
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233 | (1) |
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234 | (1) |
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234 | (1) |
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Appendix A: Derivation of Inflow Equation for Wells with Radial Fractures under Pseudo-Steady State Flow Conditions |
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235 | (8) |
Part 5: Environmental Issues of Hydraulic Fracturing |
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243 | (60) |
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243 | (2) |
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245 | (2) |
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12 The Role of Human Factors Considerations and Safety Culture in the Safety of Hydraulic Fracturing (Fracking) |
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247 | (24) |
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248 | (2) |
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12.2 Benefits of Hydraulic Fracturing |
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250 | (1) |
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250 | (2) |
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12.4 Different Steps of Hydraulic Fracturing and Proposed Human Factors Considerations |
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252 | (2) |
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12.5 Hydraulic Fracturing Process: Drilling |
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254 | (3) |
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12.6 Hydraulic Fracturing Process: Fluid Injection |
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257 | (1) |
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258 | (1) |
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258 | (1) |
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12.9 Human Factors and Safety Culture Considerations |
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259 | (4) |
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259 | (1) |
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260 | (1) |
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260 | (1) |
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261 | (2) |
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12.10 Examples of Recent Incidents |
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263 | (2) |
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12.11 Conclusion and Recommendations |
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265 | (1) |
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266 | (1) |
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266 | (5) |
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13 Flowback of Fracturing Fluids with Upgraded Visualization of Hydraulic Fractures and Its Implications on Overall Well Performance |
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271 | (14) |
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272 | (1) |
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272 | (1) |
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13.3 Upgraded Visualization of Hydraulic Fracturing |
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273 | (2) |
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273 | (1) |
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274 | (1) |
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13.4 Reasons for Partial Flowback |
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275 | (3) |
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13.4.1 Fracture Modelling |
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275 | (1) |
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13.4.2 Depth of Penetration |
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276 | (1) |
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13.4.3 Closing of Fractures |
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277 | (1) |
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13.4.4 Chemical Interaction of Fracturing Fluids |
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277 | (1) |
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13.5 Impact of Parameters under Control |
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278 | (1) |
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13.6 Loss in Incremental Oil Production |
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279 | (1) |
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280 | (1) |
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281 | (1) |
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281 | (1) |
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282 | (3) |
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14 Assessing the Groundwater Contamination Potential from a Well in a Hydraulic Fracturing Operation |
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285 | (18) |
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286 | (2) |
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14.2 Risk Pathways to the Shallow Groundwater |
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288 | (1) |
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289 | (1) |
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14.4 Mathematical Formulation |
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290 | (1) |
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14.5 Hypothetical Case Description and the Numerical Method |
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291 | (3) |
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14.6 Results and Discussion |
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294 | (3) |
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297 | (1) |
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298 | (5) |
Index |
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