Contributors |
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ix | |
Preface |
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xi | |
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1 Pore-scale characterization and fractal analysis for gas migration mechanisms in shale gas reservoirs |
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1 | (28) |
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1 | (1) |
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2 Pore-scale characterization from nitrogen adsorption-desorption data |
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2 | (4) |
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3 Pore-scale characterization from SEM data |
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6 | (1) |
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4 Definitions of fractal parameters |
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6 | (6) |
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5 Fractal analysis of nitrogen adsorption isotherms |
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12 | (3) |
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6 Fractal analysis of SEM images |
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15 | (4) |
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7 Pore-scale and core-scale gas transport mechanisms |
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19 | (5) |
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24 | (5) |
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25 | (1) |
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26 | (3) |
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2 Three-dimensional gas property geological modeling and simulation |
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29 | (22) |
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29 | (1) |
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30 | (1) |
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3 Geological conditions of gas reservoirs |
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30 | (1) |
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4 Typical earth data used in modeling |
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31 | (1) |
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31 | (3) |
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34 | (1) |
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35 | (1) |
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35 | (1) |
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36 | (1) |
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37 | (1) |
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37 | (1) |
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12 3D structural modeling |
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38 | (1) |
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38 | (2) |
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14 3D petrophysical modeling m |
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40 | (1) |
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15 3D geomechanical modeling |
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41 | (3) |
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44 | (7) |
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45 | (6) |
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3 Acoustic, density, and seismic attribute analysis to aid gas detection and delineation of reservoir properties |
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51 | (42) |
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53 | (1) |
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2 Natural gas reservoirs detection |
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53 | (13) |
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3 Delineation and characterization of natural gas reservoirs |
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66 | (21) |
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87 | (6) |
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89 | (4) |
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4 Integrated microfacies interpretations of large natural gas reservoirs combining qualitative and quantitative image analysis |
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93 | (36) |
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93 | (2) |
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2 Fundamental concepts and key principles |
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95 | (6) |
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3 Advanced research and detailed techniques |
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101 | (7) |
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108 | (15) |
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123 | (6) |
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124 | (5) |
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5 Assessing the brittleness and total organic carbon of shale formations and their role in identifying optimum zones to fracture stimulate |
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129 | (30) |
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129 | (1) |
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130 | (7) |
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137 | (5) |
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4 Case study: TOB machine learning to predict shale brittleness and TOC |
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142 | (10) |
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152 | (7) |
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153 | (6) |
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6 Shale kerogen kinetics from multiheating rate pyrolysis modeling with geological time-scale perspectives for petroleum generation |
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159 | (38) |
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159 | (9) |
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2 Advanced techniques and applications |
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168 | (12) |
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3 Case study kinetic models for immature Duvernay shale Western Canada |
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180 | (12) |
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192 | (5) |
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193 | (4) |
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7 Application of few-shot semisupervised deep learning in organic matter content logging evaluation |
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197 | (22) |
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197 | (3) |
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200 | (7) |
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3 Samples and experiments |
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207 | (7) |
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4 Results: TOC Prediction comparisons for IDLM and other models |
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214 | (2) |
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216 | (3) |
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216 | (1) |
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216 | (3) |
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8 Microseismic analysis to aid gas reservoir characterization |
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219 | (24) |
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219 | (3) |
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2 Principle and workflow of microseismic monitoring |
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222 | (4) |
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3 Advanced processing and interpretation techniques |
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226 | (6) |
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232 | (6) |
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238 | (5) |
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239 | (1) |
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239 | (4) |
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9 Coal-bed methane reservoir characterization using well-log data |
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243 | (32) |
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245 | (5) |
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2 Fundamental concepts pertaining to CBM |
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250 | (7) |
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3 Advanced assessment of coal bed methane properties |
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257 | (7) |
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4 Case study: Assessing coal fracability based on well-log information |
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264 | (4) |
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268 | (7) |
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269 | (6) |
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10 Characterization of gas hydrate reservoirs using well logs and X-ray CT scanning as resources and environmental hazards |
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275 | (26) |
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275 | (2) |
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2 Fundamental concepts and key principles |
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277 | (6) |
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3 Advanced research/field applications |
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283 | (7) |
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290 | (3) |
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5 Summary and conclusions |
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293 | (8) |
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294 | (1) |
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294 | (7) |
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11 Assessing the sustainability of potential gas hydrate exploitation projects by integrating commercial, environmental, social and technical considerations |
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301 | (44) |
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302 | (12) |
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2 Advanced TOPSIS techniques that incorporate uncertainty |
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314 | (7) |
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321 | (15) |
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4 Suggested protocol and MCDA analysis for large resource development projects |
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336 | (1) |
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337 | (8) |
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338 | (1) |
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338 | (7) |
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12 Gas adsorption and reserve estimation for conventional and unconventional gas resources |
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345 | (38) |
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345 | (1) |
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2 Reserves estimations for gas-bearing reservoirs |
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346 | (3) |
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3 Material balance equation and gas adsorption in conventional and unconventional reservoirs |
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349 | (4) |
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4 Gas adsorption/desorption isotherms |
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353 | (2) |
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5 Estimating gas reserves for coal bed methane resources |
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355 | (7) |
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6 Gas adsorption considerations relevant to unconventional gas resources and reserves estimation |
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362 | (4) |
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7 Case study examples for estimating gas resources (G//P) and reserves |
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366 | (11) |
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377 | (6) |
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378 | (5) |
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13 Dataset insight and variable influences established using correlations, regressions, and transparent customized formula optimization |
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383 | (26) |
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383 | (1) |
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384 | (7) |
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3 Advanced considerations |
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391 | (4) |
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395 | (11) |
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406 | (3) |
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407 | (2) |
Index |
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409 | |