Cambridge IGCSE English as a Second Language Exam Preparation Guide: Reading and Writing
by Peter Lucantoni , With Brian DyerRent Book
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Summary
Table of Contents
| Preface | p. xi |
| Introduction to rock physics | p. 1 |
| Introduction | p. 1 |
| Velocity-porosity relations for mapping porosity and facies | p. 2 |
| Fluid substitution analysis | p. 15 |
| Pressure effects on velocity | p. 24 |
| The special role of share wave information | p. 30 |
| Rock physics ôWhat ifs?ö: fluid and lithology substitution | p. 42 |
| All models are wrong…some are useful | p. 43 |
| Rock physics interpretation of texture, llithology and compaction | p. 48 |
| Introduction | p. 48 |
| The link between rock physics properties and sedimentary microstructure: theory and models | p. 51 |
| Example: rock physics interpretation of microstructure in North Sea turbidite systems | p. 70 |
| Relating rock physics to lithofacies and depositional environments | p. 81 |
| Example: seismic lithofacies in a North Sea turbidite system | p. 83 |
| Rock physics depth trends | p. 90 |
| Example: rock physics depth trends and anomalies in a North Sea field | p. 96 |
| Rock physics templates: a tool for lilthology and fluid prediction | p. 101 |
| Discussion | p. 107 |
| Conclusions | p. 109 |
| Statistical rock physics: Combining rock physics, information theory, and statistics to reduce uncertainty | p. 111 |
| Introduction | p. 111 |
| Why quantify uncertainty? | p. 112 |
| Statistical rock physics workflow | p. 123 |
| Information entropy: some simple examples | p. 132 |
| More Carlo simulation | p. 136 |
| Statistical classification and pattern recongniition | p. 138 |
| Discussion and summary | p. 165 |
| Common techniques for Quantitative seismic interpretation | p. 168 |
| Introduction | p. 168 |
| Qualitative seismic amplitude interpretation | p. 168 |
| AVO analysis | p. 180 |
| Impedance inveersion | p. 230 |
| Forward seismic modeling | p. 252 |
| Future directions in quantitative seismic interpreetation | p. 256 |
| Case studies: Lithology and pore-fluid prediction from seismic data | p. 258 |
| Case 1: Seismic reservoir mapping from 3D AVO in a North Sea turbidite system | p. 258 |
| Case 2: Mapping lithofacies and pore-fluid probabilities in a North Sea reservoir using seismic impedance inversions and statistical rock physics | p. 278 |
| Case 3: Sesimic lithology prediction and reservoir delineation using statistical AVO in the Grane field, North Sea | p. 295 |
| Case 4: AVO depth trends for lithology and pore fluid classification in unconsolidated deep-water systems, offshore West Africa | p. 306 |
| Case 5: Sesimic reservoir mapping using rock physics templates. Example from a North Sea turbidite system | p. 312 |
| Workflows and Guidelines | p. 317 |
| AVO reconnaissance | p. 318 |
| Rock physics ôWhat ifsö and AVO feasibility studies | p. 320 |
| RPT analysis | p. 322 |
| AVO classification constrained by rock physics depth trends | p. 323 |
| Seismic reservoir characterization constrained by lithofacies analysis and statistical rock physics | p. 325 |
| Why and when should we do quantitative seismic interpretation? | p. 328 |
| Hands-on | p. 332 |
| Introduction | p. 332 |
| Problems | p. 332 |
| Project | p. 336 |
| References | p. 340 |
| Index | p. 356 |
| Table of Contents provided by Ingram. All Rights Reserved. |
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