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xix | |
| About the Editors |
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xxv | |
| Preface |
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xxvii | |
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1 Introduction to Natural Gas Monetization |
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1 | (14) |
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1 | (1) |
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2 | (2) |
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1.3 Monetization Routes for Natural Gas |
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4 | (5) |
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1.3.1 Large Industries and Power Plants |
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4 | (2) |
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1.3.2 Small/Medium Industries and Commercial Users |
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6 | (1) |
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7 | (1) |
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7 | (1) |
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7 | (1) |
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1.3.4.2 Liquefied Natural Gas (LNG) |
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8 | (1) |
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1.4 Natural Gas Conversion to Chemicals and Fuels |
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9 | (4) |
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13 | (1) |
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13 | (1) |
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13 | (2) |
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2 Techno-Economic Analyses and Policy Implications of Environmental Remediation of Shale Gas Wells in the Barnett Shales |
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15 | (42) |
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15 | (1) |
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2.1.1 Framing the Issues: The Energy and Environmental Equation |
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15 | (2) |
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2.1.2 Well Lifecycle Analysis and Environmental Impacts |
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17 | (1) |
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18 | (4) |
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2.2.1 Summary of Shale Gas Operations |
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18 | (1) |
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2.2.2 Hydraulic Fracturing and Water Impacts |
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19 | (1) |
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2.2.2.1 Fresh Water Consumption |
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20 | (1) |
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2.2.2.2 Transportation and Disposal of Produced Water |
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20 | (1) |
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21 | (1) |
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2.2.4 Seismicity and Seismic Implications |
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21 | (1) |
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22 | (1) |
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2.4 Environmental Remediation of Greenhouse Gas Emissions Using Natural Gas as a Fuel |
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22 | (2) |
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2.4.1 Single Fuel, Bi-Fuel, or Dual Fuel |
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23 | (1) |
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2.4.2 Forms of Natural Gas |
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23 | (1) |
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2.4.3 Environmental Impact |
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24 | (1) |
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2.5 Environmental Remediation of Water and Seismic Impacts |
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24 | (4) |
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2.5.1 Waterless Fracturing |
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24 | (1) |
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2.5.1.1 Liquefied Petroleum Gas Fracturing |
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25 | (1) |
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2.5.1.2 Carbon Dioxide Fracturing |
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25 | (1) |
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2.5.2 Recycling Produced Water |
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26 | (1) |
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2.5.2.1 Fracturing with Produced Water |
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26 | (1) |
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2.5.2.2 Treating Wastewater |
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27 | (1) |
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2.6 Theoretical Calculations |
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28 | (7) |
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28 | (1) |
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28 | (1) |
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2.6.1.2 Fuel Usage by Well |
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28 | (2) |
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2.6.1.3 Annual Fuel Usage and Costs |
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30 | (1) |
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2.6.1.4 Greenhouse Gas Emissions from Fuel Burn |
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30 | (1) |
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2.6.1.5 Hydraulic Fracturing Impacts |
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31 | (1) |
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2.6.2 Operations after Environmental Remediation of Greenhouse Gases |
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31 | (1) |
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2.6.2.1 Conversion to Dual Fuel Systems |
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31 | (1) |
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2.6.2.2 Environmental Improvements |
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32 | (1) |
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2.6.3 Operations after Environmental Remediation of Hydraulic Fracturing |
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32 | (1) |
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2.6.3.1 Waterless Fracturing |
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32 | (2) |
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2.6.3.2 Environmental Improvements |
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34 | (1) |
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2.6.4 Net Present Value and Expected Capital Outlay |
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34 | (1) |
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2.7 Results and Discussion |
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35 | (14) |
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2.7.1 Improved Operations with Environmental Remediation of Greenhouse Gas Emissions |
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35 | (2) |
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2.7.1.1 Capital Investment Analysis |
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37 | (1) |
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2.7.1.2 Broader Economic and Environmental Benefits |
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38 | (1) |
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2.7.2 Improved Operations with Alternative Fracturing Fluids |
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39 | (2) |
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2.7.2.1 Cost of Alternative Fracturing Fluids |
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41 | (1) |
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2.7.2.2 Availability of Salt Water Disposal Sites |
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42 | (1) |
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2.7.2.3 Fracturing with C02 vs. LPG |
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43 | (2) |
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2.7.2.4 Flowback and Recycling of Fracturing Fluid |
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45 | (1) |
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2.7.2.5 Seismic Implications |
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46 | (1) |
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2.7.2.6 Unlocking Arid and Water Sensitive Shales |
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46 | (1) |
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2.7.2.7 Broader Economic and Environmental Benefits |
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47 | (1) |
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2.7.3 Environmental and Microeconomic Impacts of Combined Technology Alternatives |
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47 | (2) |
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2.8 Opportunities for Future Research |
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49 | (1) |
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50 | (7) |
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3 Thermodynamic Modeling of Natural Gas and Gas Condensate Mixtures |
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57 | (32) |
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57 | (4) |
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61 | (3) |
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61 | (1) |
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61 | (2) |
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63 | (1) |
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3.3 Prediction of Natural Gas Dew Points |
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64 | (6) |
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3.3.1 Synthetic Natural Gases |
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65 | (2) |
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67 | (3) |
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3.4 Prediction of Dew Points and Liquid Dropout in Gas Condensates |
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70 | (5) |
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3.4.1 Synthetic Gas Condensates |
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71 | (1) |
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3.4.2 Real Gas Condensates |
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72 | (1) |
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3.4.2.1 Characterization of the Plus Fraction |
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73 | (2) |
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3.4.2.2 Dew Point Predictions |
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75 | (1) |
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3.5 Case Study: Simulation of a Topside Offshore Process |
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75 | (6) |
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81 | (1) |
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82 | (7) |
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4 C02 Injection in Coal Formations for Enhanced Coalbed Methane and CO2 Sequestration |
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89 | (24) |
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4.1 Coalbed Characteristics |
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89 | (2) |
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4.2 Adsorption Isotherm Behavior |
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91 | (4) |
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95 | (6) |
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101 | (5) |
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106 | (2) |
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108 | (1) |
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108 | (5) |
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113 | (30) |
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113 | (3) |
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5.2 Thermodynamics of Fluids |
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116 | (3) |
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5.2.1 First Law of Thermodynamics |
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117 | (1) |
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5.2.2 Second Law of Thermodynamics |
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118 | (1) |
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118 | (1) |
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5.2 A Properties of a Perfect Gas |
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119 | (2) |
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120 | (1) |
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5.3 Fundamental Equations of Fluid Mechanics |
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121 | (5) |
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5.3.1 Continuity Equation |
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121 | (1) |
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122 | (1) |
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5.3.3 Bernoulli's Equation |
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123 | (1) |
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5.3.4 Mechanical Energy Balance |
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124 | (1) |
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5.3.5 Total Energy Balance |
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125 | (1) |
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125 | (1) |
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5.4 Incompressible Pipeline Flow |
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126 | (604) |
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126 | (1) |
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127 | (1) |
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5.4.3 K-Factors for Fittings |
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127 | (1) |
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128 | (1) |
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5.4.5 Other Head Loss and Gain Terms |
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128 | (1) |
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5.4.6 Example Application |
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129 | (1) |
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130 | (2) |
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5.6 Compressible Pipeline Flow |
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132 | (1) |
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5.6.1 Introductory Remarks |
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132 | (1) |
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132 | (1) |
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5.6.3 Bernoulli Approximation |
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133 | (1) |
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133 | (1) |
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134 | (1) |
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134 | (3) |
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137 | (1) |
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5.6.8 Rationalization with Bernoulli's Equation |
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138 | (1) |
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5.6.9 Example Application |
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139 | (1) |
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5.7 Comparison with Crane Handbook |
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139 | (3) |
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142 | (1) |
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6 Fluid Flow: Advanced Topics |
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143 | (30) |
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143 | (1) |
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143 | (2) |
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145 | (7) |
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145 | (1) |
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6.3.2 Stagnation Pressure and Temperature |
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146 | (1) |
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146 | (1) |
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147 | (1) |
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148 | (1) |
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149 | (1) |
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6.3.3 Flow Between Vessels |
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150 | (1) |
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150 | (1) |
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150 | (1) |
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6.3.4 The System of Equations |
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151 | (1) |
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6.3.5 Example Application |
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151 | (1) |
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152 | (7) |
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6.4.1 Incompressible Flow Through a Meter |
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152 | (1) |
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6.4.2 Compressible Flow Through a Meter |
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153 | (2) |
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6.4.3 Individual Meter Types |
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155 | (1) |
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155 | (1) |
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155 | (1) |
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156 | (1) |
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6.4.4 Choked Flow Through a Meter |
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156 | (1) |
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6.4.4.1 Critical Pressure Ratio |
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157 | (1) |
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6.4.4.2 Maximum Flow Rate |
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157 | (1) |
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158 | (1) |
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159 | (2) |
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6.5.1 Incompressible Flow Through a Control Valve |
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159 | (1) |
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6.5.2 Compressible Flow Through a Control Valve |
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159 | (2) |
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161 | (1) |
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6.6 Two-Phase Gas-Liquid Flow |
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161 | (10) |
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6.6.1 Introductory Remarks |
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161 | (1) |
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6.6.2 The Method of Dukler and Taitel |
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162 | (2) |
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6.6.3 Pressure Drop in Two-Phase Flow |
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164 | (1) |
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6.6.4 The Homogeneous Flow Model |
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165 | (1) |
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6.6.5 Temperature Effects |
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166 | (1) |
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6.6.6 Comment on the Effect of Change in Elevation |
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167 | (1) |
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167 | (1) |
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168 | (2) |
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170 | (1) |
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171 | (2) |
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7 Use of Process Simulators Upstream Through Midstream |
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173 | (24) |
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173 | (1) |
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7.1.1 The Origin of Hydrocarbon Process Simulation |
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173 | (1) |
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7.1.2 What Is a Process Simulator? |
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174 | (1) |
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174 | (9) |
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175 | (1) |
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176 | (2) |
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178 | (2) |
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7.2.4 Compressor/Pump Stations |
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180 | (1) |
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7.2.5 Methanol/Ethylene Glycol Injection |
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180 | (2) |
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182 | (1) |
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183 | (9) |
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184 | (1) |
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184 | (2) |
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186 | (1) |
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7.3.4 Sour Water Stripper |
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187 | (2) |
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189 | (1) |
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189 | (1) |
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190 | (2) |
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192 | (1) |
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192 | (4) |
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196 | (1) |
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196 | (1) |
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8 Optimization of Natural Gas Network Operation under Uncertainty |
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197 | (22) |
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198 | (1) |
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199 | (1) |
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8.3 Natural Gas Supply Chains |
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200 | (2) |
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202 | (6) |
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8.4.1 Mathematical Notation |
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202 | (1) |
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8.4.2 Considering Gas Quality in Natural Gas Production Operation |
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202 | (2) |
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8.4.3 Model for the Natural Gas Network System |
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204 | (1) |
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8.4.3.1 Model for the Sources |
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204 | (1) |
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8.4.3.2 Model for Mixing Stations |
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205 | (1) |
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8.4.3.3 Model for End Users |
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206 | (1) |
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206 | (1) |
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8.4.3.5 Pipeline Performance Model |
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207 | (1) |
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8.4.3.6 Compression Performance model |
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207 | (1) |
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208 | (1) |
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208 | (1) |
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8.5.2 Case Study and Description |
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208 | (1) |
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8.6 Results and Discussion |
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209 | (3) |
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8.7 Conclusions and Recommendations |
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212 | (1) |
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213 | (2) |
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215 | (4) |
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8.A.1 Stochastic Model for the Sources |
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216 | (1) |
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8.A.2 Stochastic Model for Mixing Stations |
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216 | (1) |
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8.A.3 Stochastic Model for End Users |
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217 | (1) |
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8.A.4 Stochastic Pipeline Performance Model |
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217 | (1) |
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8.A.5 Stochastic Compression Performance Model |
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217 | (2) |
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9 A Multicriteria Optimization Approach to the Synthesis of Shale Gas Monetization Supply Chains |
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219 | (16) |
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219 | (1) |
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220 | (1) |
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221 | (3) |
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221 | (1) |
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9.3.2 Environmental and Safety Metrics |
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222 | (2) |
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9.3.3 Objectives of the Case Study |
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224 | (1) |
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224 | (8) |
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224 | (1) |
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9.4.2 Conversion Technologies |
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224 | (1) |
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9.4.3 Base Case Product Prices |
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225 | (1) |
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9.4.4 Plant Costs and Capacity Limits |
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225 | (1) |
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226 | (1) |
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9.4.6 Reduced Methanol Price Case Results |
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227 | (2) |
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9.4.7 Reduced Urea Price Case Results |
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229 | (1) |
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9.4.8 Base Case Environmental Considerations |
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230 | (1) |
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9.4.9 Base Case Safety Considerations |
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231 | (1) |
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232 | (1) |
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232 | (3) |
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10 Study for the Optimal Operation of Natural Gas Liquid Recovery and Natural Gas Production |
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235 | (24) |
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235 | (2) |
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10.2 Methodology Framework |
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237 | (1) |
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10.3 New Process Design for NGL Recovery |
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238 | (6) |
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241 | (1) |
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241 | (1) |
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242 | (1) |
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242 | (2) |
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244 | (1) |
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10.4 Thermodynamic Analysis for Propane Refrigeration System |
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244 | (1) |
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10.4.1 Liquefaction Process Analysis |
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244 | (1) |
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10.4.2 Simulation Results and Thermodynamic Analysis |
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244 | (1) |
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10.5 Optimization for Natural Gas Liquefaction |
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245 | (9) |
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10.5.1 Optimization Model Development |
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245 | (1) |
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10.5.1.1 Objective Function |
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246 | (1) |
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10.5.1.2 Pressure Ratio Constraints |
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247 | (1) |
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10.5.1.3 Heat Transfer Constraints |
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247 | (1) |
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10.5.1.4 Energy Balance Constraints |
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247 | (2) |
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10.5.1.5 Other Constraints |
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249 | (1) |
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10.5.2 Optimization Results |
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249 | (1) |
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10.5.2.1 Optimization Results of Propane Cycle |
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249 | (1) |
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10.5.2.2 Optimization Results of Compressor and Condenser |
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249 | (2) |
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10.5.2.3 Demethanizer Pressure and Ethane Recovery |
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251 | (3) |
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254 | (1) |
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254 | (1) |
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254 | (1) |
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255 | (1) |
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256 | (3) |
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11 Modeling and Optimization of Natural Gas Processing and Production Networks |
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259 | (46) |
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259 | (1) |
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11.2 Background and Process Description |
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260 | (5) |
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11.2.1 Natural Gas Supply Chain |
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260 | (1) |
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11.2.2 Natural Gas: Proven Reserves |
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261 | (1) |
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11.2.3 Natural Gas: Utilization |
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261 | (2) |
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263 | (1) |
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263 | (1) |
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11.2.3.3 Methanol Process |
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264 | (1) |
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11.3 Simulation of Natural Gas Processing and Production Network |
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265 | (9) |
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266 | (1) |
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11.3.2 Steady State Process Simulation of Natural Gas Processing and Production Network |
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266 | (1) |
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11.3.2.1 LNG Process Simulation |
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266 | (5) |
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11.3.2.2 GTL Process Simulation |
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271 | (1) |
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11.3.2.3 Methanol Process Simulation |
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272 | (2) |
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11.4 LP Model for Natural Gas Processing and Production Network |
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274 | (6) |
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11.4.1 LP Model Formulation |
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278 | (1) |
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11.4.2 Illustrative Case Study for LP Model |
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279 | (1) |
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11.4.2.1 Scenario 1: Network Optimization (Base Case) |
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279 | (1) |
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11.4.2.2 Scenario 2: Natural Gas Feedstock Flowrate Increment |
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279 | (1) |
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11.4.2.3 Scenario 3: Natural Gas Feedstock and Product Price Increments |
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279 | (1) |
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11.5 MILP Model for Design and Synthesis of Natural Gas Upstream Processing Network |
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280 | (8) |
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11.5.1 Process Descriptions of Major Processing Units |
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282 | (1) |
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11.5.1.1 Stabilization Unit (A) |
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282 | (1) |
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11.5.1.2 Acid Gas Removal Unit (B) |
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282 | (1) |
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11.5.1.3 Sulfur Recovery Unit (C) |
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283 | (1) |
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11.5.1.4 Dehydration Unit (D) |
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283 | (1) |
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11.5.1.5 NGL Separation Unit (E) |
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283 | (1) |
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11.5.1.6 Fractionation Unit (F) |
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284 | (1) |
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11.5.2 Problem Statement and Solution Strategy |
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284 | (1) |
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11.5.3 MILP Model Formulation |
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285 | (1) |
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11.5.4 Illustrative Case Study |
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286 | (2) |
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11.6 MILP Model for Design and Synthesis of Natural Gas Production Network |
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288 | (8) |
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11.6.1 MILP Model Formulation |
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290 | (3) |
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293 | (2) |
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11.6.2.1 Economic Planning Using Formulated MILP Model |
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295 | (1) |
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11.6.2.2 Sustainable Planning Using Formulated Model |
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295 | (1) |
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11.7 Sustainability Assessment of Natural Gas Network |
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296 | (4) |
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297 | (1) |
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298 | (1) |
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298 | (2) |
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300 | (1) |
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300 | (5) |
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12 Process Safety in Natural Gas Industries |
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305 | (36) |
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305 | (1) |
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306 | (3) |
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12.2.1 Cleveland, Ohio, 1944 |
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306 | (2) |
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12.2.2 Skikda, Algeria, 2004 |
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308 | (1) |
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12.2.3 San Bruno, California, 2010 |
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308 | (1) |
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12.2.4 Kaohsiung, Taiwan, 2014 |
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309 | (1) |
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12.3 Process Safety Methods |
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309 | (3) |
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12.4 Equipment and Plant Reliability |
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312 | (3) |
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12.5 Facility Siting and Layout Optimization |
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315 | (8) |
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12.5.1 Separation Distances |
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318 | (1) |
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12.5.2 Advances in Facility Siting and Layout Optimizations |
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318 | (4) |
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12.5.3 Lessons Learned from Past Incidents |
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322 | (1) |
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12.6 Relief System Design |
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323 | (1) |
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12.7 Toxic and Heavy Gas Dispersion |
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324 | (2) |
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326 | (3) |
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12.9 Effective Mitigation System |
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329 | (3) |
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12.10 Regulatory Program and Management Systems for Process Safety and Risks |
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332 | (3) |
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335 | (1) |
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336 | (2) |
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338 | (3) |
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13 Thermodynamic Modeling of Relevance to Natural Gas Processing |
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341 | (38) |
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13.1 Introduction to the Problem |
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341 | (2) |
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343 | (5) |
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343 | (1) |
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344 | (2) |
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13.2.3 Van der Waals-Platteeuw Hydrate Model |
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346 | (1) |
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13.2.4 Model's Pure Component Parameters and Comments on Database |
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347 | (1) |
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13.3 Systems Studied and Selected Results: Part 1. No Chemicals |
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348 | (12) |
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13.3.1 Binary Systems of NG Components with Water |
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348 | (3) |
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13.3.2 Ternary Systems of NG Components with Water |
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351 | (4) |
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13.3.3 Systems with ≤ 4 NG Components and Water |
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355 | (5) |
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13.4 Systems Studied and Selected Results: Part 2. With Chemicals |
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360 | (12) |
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13.4.1 Systems of NG Components with Water and Alcohols |
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360 | (7) |
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13.4.2 Systems of NG Components with Water and Glycols |
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367 | (5) |
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13.5 Conclusions and Future Perspectives |
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372 | (2) |
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374 | (2) |
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376 | (1) |
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376 | (3) |
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14 Light Alkane Aromatization: Efficient use of Natural Gas |
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379 | (24) |
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379 | (2) |
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14.1.1 Shale Gas Revolution |
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379 | (1) |
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14.1.2 Composition of Natural Gas |
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380 | (1) |
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14.2 Aromatization of Light Alkanes |
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381 | (13) |
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14.2.1 Thermodynamics and Short History |
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381 | (2) |
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14.2.2 Existing Technologies |
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383 | (2) |
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14.2.3 Role of Metals (Ga, Pt, Mo, Zn, Re) |
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385 | (1) |
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386 | (1) |
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387 | (1) |
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387 | (1) |
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388 | (1) |
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389 | (2) |
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391 | (1) |
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14.2.4 Effect of Pore Structure (ZSM-5, ZSM-8, ZSM-11, ZSM-12) |
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392 | (1) |
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14.2.5 Effect of Acidity (Si/Al Ratio etc.) |
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393 | (1) |
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394 | (3) |
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397 | (6) |
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15 Techno-Economic Analysis of Monetizing Shale Gas to Butadiene |
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403 | (10) |
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403 | (1) |
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404 | (2) |
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15.3 Techno-Economic Analysis |
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406 | (1) |
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406 | (5) |
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411 | (2) |
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16 Fractionation of the Gas-to Liquid Diesel Fuels for Production of On-Specifkation Diesel and Value-Added Chemicals |
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413 | (26) |
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413 | (3) |
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16.2 Experimental Study to Measure Properties of GTL Diesel for Different Specifications |
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416 | (2) |
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418 | (1) |
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16.2.2 Atmospheric Distillation Analysis |
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419 | (1) |
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16.2.3 Carbon Distribution |
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419 | (1) |
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419 | (1) |
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16.2.5 Viscosity Analysis |
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419 | (1) |
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16.2.6 Flash Point Analysis |
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420 | (1) |
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16.2.7 Cloud and Pour Points Analysis |
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420 | (1) |
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16.3 Experimental Study Results and Discussion |
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420 | (1) |
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16.3.1 GTL Diesel Fractionation |
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420 | (1) |
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16.3.2 Atmospheric Distillation |
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420 | (2) |
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16.3.3 Carbon Distribution for GTL Diesel Heavy Cuts |
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422 | (1) |
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16.3.4 Carbon Distribution for GTL Diesel Light Cuts |
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422 | (1) |
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422 | (1) |
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16.3.6 Viscosity Analysis |
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423 | (2) |
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16.3.7 Flash Point Analysis |
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425 | (1) |
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16.3.8 Cloud and Pour Point Analysis |
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425 | (1) |
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16.3.9 Cetane Index Calculation |
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426 | (1) |
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16.4 Mathematical Models for Properties-Composition Relationship |
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427 | (7) |
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16.5 Summary and Conclusion |
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434 | (3) |
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437 | (2) |
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17 An Energy Integrated Approach to Design a Supercritical Fischer-Tropsch Synthesis Products Separation and Solvent Recovery System |
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439 | (24) |
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439 | (5) |
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17.1.1 Block 1: Syngas Generation (Natural Gas Reformer) |
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439 | (1) |
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17.1.2 Block 2: Fischer-Tropsch Synthesis |
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440 | (1) |
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17.1.2.1 Conventional FT Reactors |
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441 | (1) |
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17.1.3 Introduction on the Utilization of Supercritical Fluids in the FT Synthesis |
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442 | (1) |
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17.1.3.1 Block 3: Products Upgrading |
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442 | (2) |
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17.2 Approach and Methodology |
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444 | (3) |
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17.2.1 The FT Reactor Conditions |
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445 | (1) |
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17.2.2 The Process Design Approach |
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445 | (2) |
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17.3 Results and Discussion |
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447 | (13) |
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17.3.1 Scenario 1: Separation of the Heavy Components First |
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447 | (3) |
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17.3.2 Alternate Separation Design for Scenario 1 |
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450 | (2) |
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17.3.3 Scenario 2: Separation of the Water First |
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452 | (3) |
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17.3.4 Scenario 3: Separation of the Vapor and Liquid Components and Use of 3-phase Separator to Recover Water, Solvent, and Syngas |
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455 | (5) |
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460 | (1) |
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461 | (1) |
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461 | (2) |
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18 Multi-Scale Models for the Prediction of Microscopic Structure and Physical Properties of Chemical Systems Related to Natural Gas Technology |
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463 | (36) |
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Konstantinos D. Papavasileiou |
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463 | (4) |
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18.2 Natural Gas Pipeline Transportation: Modeling Gas Hydrates |
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467 | (3) |
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18.3 Modeling Porous Media in Separation and Storage Procedures |
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470 | (6) |
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18.3.1 Modeling Kerogens Porosity: A Case Study |
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472 | (4) |
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18.4 Molecular Simulation of Downstream Natural Gas Processing: The GTL Technology |
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476 | (9) |
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18.4.1 Investigations at the Quantum Level |
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476 | (1) |
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18.4.1.1 Methods and Models |
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476 | (1) |
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18.4.1.2 Methane Conversion to Syngas |
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477 | (1) |
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18.4.1.3 Syngas Conversion to Hydrocarbons |
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478 | (1) |
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18.4.1.4 Solvation Effects |
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479 | (1) |
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18.4.2 Moving Upscale: Modeling FTS Kinetics, Kinetic Monte Carlo |
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480 | (1) |
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18.4.3 Classical Approaches: Molecular Simulation at Larger Size and Time Scales of the FTS Process |
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481 | (4) |
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485 | (2) |
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487 | (1) |
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488 | (1) |
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488 | (11) |
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19 Natural Gas to Acetylene (GTA)/Ethylene (GTE)/Liquid Fuels (GTL) The Synfuels International, Inc. Process |
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499 | (10) |
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499 | (1) |
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19.2 Additive and Subtractive Processes |
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500 | (1) |
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19.3 The Synfuels Process |
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501 | (2) |
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503 | (2) |
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19.5 Location, Location, Location |
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505 | (1) |
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505 | (2) |
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507 | (2) |
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20 Natural-Gas-Based SOFC in Distributed Electricity Generation: Modeling and Control |
|
|
509 | (10) |
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|
Efstratios N. Pistikopoulos |
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509 | (4) |
|
20.1.1 Distributed Energy Production |
|
|
510 | (1) |
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20.1.2 Solid Oxide Fuel Cell (SOFC) Overview |
|
|
511 | (1) |
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20.1.3 Natural Gas Reforming |
|
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512 | (1) |
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20.1.4 Direct Internal Reforming (DIR) SOFC |
|
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512 | (1) |
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513 | (4) |
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514 | (1) |
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20.2.2 Energy Balance 5i4 |
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515 | (1) |
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516 | (1) |
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517 | (2) |
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20 A Multiparametric Model Predictive Control (mpMPC) |
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519 | (8) |
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519 | (1) |
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20.4.1.1 Linear Model Approximation |
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519 | (1) |
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20.4.1.2 mpMPC Controller Design |
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520 | (3) |
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20.5 Closed-Loop Validation and Results |
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523 | (1) |
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523 | (1) |
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524 | (3) |
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21 Design of Synthetic Jet Fuel Using Multivariate Statistical Methods |
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|
527 | (18) |
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527 | (2) |
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529 | (5) |
|
21.2.1 Characterization with Principal Component Analysis |
|
|
529 | (2) |
|
21.2.2 Multivariate Regression Model for Blend Property Correlation |
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531 | (1) |
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21.2.2.1 PLS for Linear Regression |
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|
531 | (2) |
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21.2.2.2 Support Vector Machine (SVM) for Nonlinear Regression |
|
|
533 | (1) |
|
21.3 Results and Discussions |
|
|
534 | (9) |
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21.3.1 Optimal Blend Selection Using Ternary Diagram |
|
|
534 | (1) |
|
21.3.2 Optimal Blend Selection Using Multivariate Statistics |
|
|
535 | (1) |
|
21.3.2.1 Contribution of Different Hydrocarbon Components |
|
|
535 | (2) |
|
21.3.2.2 Composition Property Correlation |
|
|
537 | (1) |
|
21.3.2.3 Reliability Prediction Using Score Plot |
|
|
538 | (2) |
|
21.3.3 Experimental Verification of Model Predicted Data |
|
|
540 | (3) |
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|
|
543 | (1) |
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543 | (1) |
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543 | (2) |
| Index |
|
545 | |