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Avseth P., Mukerji T. — Quantitative seismic interpretation. Applying rock physics tools to reduce interpretation risk
Avseth P., Mukerji T. — Quantitative seismic interpretation. Applying rock physics tools to reduce interpretation risk



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Íàçâàíèå: Quantitative seismic interpretation. Applying rock physics tools to reduce interpretation risk

Àâòîðû: Avseth P., Mukerji T.

Àííîòàöèÿ:

Every year finding new oil is harder, riskier, and more expensive - a natural consequence of ils finiteness. As dictated by M. King Humbert's "peak," declines in discoveries and production are inevitable. Yet demand continues, forcing us to deeper water, more complex reservoirs, and smaller, more subtle oil fields.
A key to managing this complexity and risk has always been effective integration of the diverse petroleum technologies. Workstations, visualization software, and geo-statistics have contributed to integrating the vast amounts of data that we sometimes drown in. Perhaps more important are the asset teams that exploit diverse data by integrating expertise. Our goal, in preparing Quantitative Seismic Interpretation, is to help illustrate the powerful role that rock physics can play in integrating both the data and expertise of geophysics and geology for reservoir characterization.
Our objective for this book is to help make the links between seismic and reservoir properties more quantitative. Most of our examples use amplitude signatures and impedances, but we consider quantitative seismic interpretation to include the use of any seismic attributes for which there are specific models relating them to the rock properties. Our approach is to introduce fundamental rock physics relations, which help to quantify the geophysical signatures of rock and fluid properties. Since rock properties are a consequence of geologic processes, we begin to quantify the seismic signatures of various geologic trends. We also fully embrace probabilistic and geostatistical tools, as quantitative means for managing the inevitable uncertainty that accompanies all quantitative methods. Quantifying, managing, and understanding the uncertainties are critical for survival in a risky environment.


ßçûê: en

Ðóáðèêà: Ôèçèêà/

Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö

ed2k: ed2k stats

Ãîä èçäàíèÿ: 2005

Êîëè÷åñòâî ñòðàíèö: 359

Äîáàâëåíà â êàòàëîã: 27.03.2011

Îïåðàöèè: Ïîëîæèòü íà ïîëêó | Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
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Ïðåäìåòíûé óêàçàòåëü
$V_P-V_S$ relations      34—38 see
Acoustic impedance      104 236 278—295 see
Adiabatic modulus      see "Fluid properties"
American polarity standard      see "Polarity"
Anisotropy, AVAZ      248
Anisotropy, Brown and Korringa relations for fluid substitution      21
Anisotropy, elastic      62 183—185 222—223 248—251 275
Anisotropy, elastic impedance, anisotropic      248—251
Anisotropy, Thomsen's parameters      184 248
Aspect ratio      see "Inclusion models"
Attenuation, layered media      188—189
Attenuation, scattering      188—190
Attenuation, seismic      190—191 see "Bisq "Squirt
Autopicking      170
AVO      30 180—230 258—278 306—312 317—331 see value
AVO, Aki — Richards approximation      182 283
AVO, attributes      211—218 327
AVO, classes      202—204
AVO, depth trends      227—229
AVO, fluid factor      215—216
AVO, inversion      201—202
AVO, parameters      200—201
AVO, Poisson reflectivity      214
AVO, pre-processing      191—195 320
AVO, probabilistic      225—230
AVO, Shuey approximation      182 265 275 276 302 309
AVO, three-term AVO      221—223
AVO, trends      204—210
AVO, ultra-far AVO      223—225
Backus average      117 129—130 275
Batzle — Wang relations      19 29
Bayes classification      147—159 163 277 285 294 327
Bayes classification, Bayes decision rule      149
Bayes classification, confusion matrix      141
Bayes classification, minimum Bayes error      151—152 156
Biot model      19 43
Bisq model      44
Bootstrap      141
Bounds, elastic      3—8 21 45
Bounds, Hashin — Shtrikman      6—8 11 13 43 56 58 61 62
Bounds, modified lower bound      13 56 61 62 63 66 103
Bounds, modified upper bound      11 58 90
Bounds, Reuss bound      5—6 7 8 11 22 60 62 63 70
Bounds, Voigt bound      5—6 7 63 90
Brie equation      24
Bright spot      169 174—175
Brown and Korringa      21 22
Bubble point      26
case studies      70—81 83—90 96—101 106—107 258—316
Castagna      320 329 see
Cementation      11 84 92 324 see modified "Diagenesis" "Jizba's
Cementation, cementation trend      11—15 43
Cementation, constant-cement model      13 58—59 72 80
Cementation, contact-cement model      12 44 52 57—58 72 88 96 98 104
Chemical compaction      see "Diagenesis"
Classification      323—328 see "Facies "Statistical
Clay      17 30 60—62 see "Han's "Models rock
Clay minerals      60
Compaction      11 13 25 28 90—95 306
Confusion matrix      141 145
Constant-cement model      13 58—59 72 80
Constant-clay model      13 52 53 62 312
Contact models      44 55
Contact-cement model      12 44 52 57—58 72 88 96 98 104
Converted waves      245—248 317
Coordination number      55 57 92 98
Critical porosity      2 9 54 60 62 63 98 306
Cross-plot analysis      101—107 202—211 319 321 326
Cumulative distribution functions      113
Deposition      8 see
Deposition, depositional trends      11
Depth trends      50 90—95 227—229 306—312 319 323—325 330 see
Derived distributions      117 124
Diagenesis      1 11 28 51—70 90—95 see "Compaction"
Diagenesis, diagenetic trends      9 10 11—15
Diagenesis, pressure solution      11 13 92
Dim spot      169 174—175 318
Discriminant analysis      140—145 163
dispersion      20—21 see
Dispersion, Biot model      19 43
Dispersion, Bisq model      44
Dispersion, squirt model      20 44
Drainage      23
Drained condition      19
Dry rock      19
Dvorkin — Gutierrez models, shaly sand model      53 66
Dvorkin — Gutierrez models, silty shale model      53 61
Effective stress      see "Pressure effects"
Effective-medium models      see "Models rock
Empirical relations, Batzle — Wang relations      19 29
Empirical relations, Brie equation      23
Empirical relations, coordination number      55
Empirical relations, Gardner relations      215
Empirical relations, Greenberg — Castagna relations      38 321
Empirical relations, Han relations      2 9—10 11 13 30 63
Empirical relations, Raiga — Clemenceau relation      2 11
Empirical relations, Raymer — Hunt — Gardner relation      2 11
Empirical relations, Wyllie time average      2 11 see rock "
entropy      132—135
European polarity standard      see "Polarity"
Facies interpretation      50 81—90 125 177 258—316 317 323—328
Far-offset impedance      30 41 104 236—243 278—295 317
Field examples      see "Case studies"
Flat spot      175—176 220 324
Flaw of averages      117—119
Fluid factor      215—216
Fluid properties      19 28 311 see "Suspension"
Fluid properties, adiabatic modulus      19
Fluid properties, Batzle — Wang relations      19 29
Fluid properties, isothermal modulus      19
Fluid substitution      15—24 42—43 258—316 321
Fluid substitution, Brie equation      24
Fluid substitution, Brown and Korringa relations      21 22
Fluid substitution, Gassmann relations      3 15—24 34 43 64 324
Focusing      see "Overburden effects"
Frequentist      113
Friable-sand model      52 58 60 63 72 84 88 263 312
Gardner relations      215
Gassmann      3 15—24 34 43 64 324 see
Geostatistics      124 125 131—132 233 288—293 328
Granular-medium models      4 44 51—70 see rock
Greenberg — Castagna      38 321
Han      2 9—10 11 13 30 63
Hard event      169 171—172 318
Hashin — Shtrikman bounds      see "Bounds elastic"
Hertz — Mindlin theory      55 95 100 103 307 324 see
Heuristic models      46 see modified "Bounds modified
Imbibition      23
Impedance inversion      195 234—243 see
Inclusion models      2 4 15 20 44 54
Increasing-cement model      52
Information theory      41 132
Information theory, value of additional information      113 119—123
Interference      see "Tuning"
Intrinsic variability      126 153
inversion      230—252
Inversion, hybrid inversion      240
Inversion, impedance inversion      234—243 278—295
Isostrain      5
Isostress      5 22
Isothermal modulus      see "Fluid properties"
Jackknife      141
Jizba's cemented shaly sand model      53 58 67 81
Kernel density estimators      114 128
Kuster and Toksoez model      44
Lambda-mu analysis      30 41 104 243—245
Lame parameters      41 243—245 317
Laminated sand-shale model      53 69 84
Lithofacies      see "Facies interpretation"
Lithology substitution      42—43 321
Mahalanobis distance      140 264 272 285 297 311
Markov chains      129 130 136
Models, Biot model      19 43
Models, Bisq model      44
Models, Brown and Korringa relations      21 22
Models, computational models      45
Models, constant-cement model      13 58—59 72 80
Models, constant-clay model      13 52 53 62 312
Models, contact models      44 55
Models, contact-cement model      12 44 52 57—58 72 88 96 98 104
Models, critical porosity model      2 9
Models, Dvorkin — Gutierrez shaly sand model      53 66
Models, Dvorkin — Gutierrez silty shale model      53
Models, friable-sand model      52 58 60 63 72 84 263 312
Models, Gassmann relations      3 15—24 34 43 64 324
Models, granular-medium models      4 51—70
Models, Hertz — Mindlin model      55 95 100 103 307 324
Models, inclusion models      2 4 15 20 44 54
Models, increasing-cement model      52
Models, Jizba's cemented shaly sand model      53 58 67 81
Models, Kuster — Toksoez model      44
Models, laminated sandy shale model      69 84
Models, rock physics      43—45 51—70
Models, shales      60—62 78 79 see
Models, soft sediment model      52 58 60 63 72 84
Models, squirt model      20 44
Models, Yin — Marion shaly sand model      53 64 260
Models, Yin — Marion silty shale model      53 260 see
Modified lower bound      see "Heuristic models"
Modified upper bound      see "Heuristic models"
Monte Carlo simulation      119 124 127 136—138 283 309 324 see
Net-to-gross      179—180
Neural networks      159—162 163 165
Nonparametric density estimation      114 115
O'Doherty — Anstey formula      188—189
Overburden effects      187 268 275
Overpressure      90 221 see
P-to-S impedance      see "Converted waves"
Partial saturation      see "Saturation"
Patchy saturation      23
Penny-shaped cracks      see "Inclusion models"
Poisson reflectivity      214
Polarity      169
Polarity, American polarity standard      170
Polarity, European polarity standard      170
Polarization attributes      217—218
Pore stiffness      3 15
Pore-fluid properties      see "Fluid properties"
Pressure effects      24—29 34
Pressure solution      see "Diagenesis"
Principal component analysis      145—146
probability      113
Probability density functions      113—117 147
Probability mass function      113
Raiga — Clemenceau      2 11
Random variables      113
Raymer — Hunt — Gardner      2 11
Reflection coefficient      182 185 245 248
Residual gas      218—219 246
Resolution      172—173
Reuss      see "Bounds elastic"
Rock physics bottle-neck      39
Rock physics diagnostics      50 326
Rock physics templates      50 101—107 251 312—316 317 321 322—323 331
Rock physics What ifs      42—43 320—322 see "Lithology
RPT      see "Rock physics templates"
Saturation      34 321
Saturation, Brie equation      24
Saturation, partial saturation      22—24 246
Saturation, patchy saturation      23
Saturation, uniform saturation      22
Scattering      188—190
Scattering, O'Doherty — Anstey formula      188—189
Sedimentation      1 11 51—70 see
Seismic modeling      252—256
Shale-sand cross-over      91 100 170
Shales      60—62 78 91 see "Models rock
Shaly sands      62—70 78 see "Models rock
Shear attributes, value of      30—42 119—123 261
Shuey approximation      see "AVO Shuey
Simulation, stochastic      131 136—138
Soft event      169 171—172 318
Soft sediment model      52 58 60 63 72 84
Sorting, sorting trend      11—15 54—57 58 75 104
Squirt model      20 44
Statistical classification      124 130 138—165
Statistical classification, Bayesian classification      147—159
Statistical classification, discriminant analysis      140—145
Statistical classification, neural networks      159—162
Statistical rock physics      111—167 263—266 269—274 277—312 321 324 325—328 see "Statistical
Stratigraphic interpretation      177—179 see
Subjective      113 see
Suspension      5 8 13 60
Thomsen's parameters      184 248
Transmissivity      188
tuning      173—174 179 185—187 268 269 275 301 319
Turbidite systems      1 70—81 83—90 258—306 312—316
Uncertainty, uses of      112
Upscaling      129—130 147
Velocity-porosity      2—15 see "Models rock
Voigt      see "Bounds elastic"
Walther's law      82 127 276
Wavelet      169 192 234 see
What ifs      see "Rock physics What"
workflows      123—124 317—331
Wyllie time average      2 11
Yin — Marion models      260
Yin — Marion models, shaly sand model      53 64
Yin — Marion models, silty shale model      53
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