Quantitative Seismic Interpretation: Applying Rock Physics Tools to Reduce Interpretation Risk

Quantitative Seismic Interpretation: Applying Rock Physics Tools to Reduce Interpretation Risk

ISBN-10:
052115135X
ISBN-13:
9780521151351
Pub. Date:
06/10/2010
Publisher:
Cambridge University Press
ISBN-10:
052115135X
ISBN-13:
9780521151351
Pub. Date:
06/10/2010
Publisher:
Cambridge University Press
Quantitative Seismic Interpretation: Applying Rock Physics Tools to Reduce Interpretation Risk

Quantitative Seismic Interpretation: Applying Rock Physics Tools to Reduce Interpretation Risk

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Overview

Demonstrating how rock physics can be applied to predict reservoir parameters, such as lithologies and pore fluids, from seismically derived attributes, this volume provides an integrated methodology and practical tools for quantitative interpretation, uncertainty assessment, and characterization of subsurface reservoirs. Including problem sets and a case-study for which seismic and well-log data and Matlab codes are provided on the Internet (http://publishing.cambridge.org/resources/0521816017), the book is intended for students of petroleum geoscience as well as professionals in the field.

Product Details

ISBN-13: 9780521151351
Publisher: Cambridge University Press
Publication date: 06/10/2010
Pages: 408
Product dimensions: 6.80(w) x 9.60(h) x 0.80(d)

About the Author

Per Avseth is a geophysical consultant at Odin Petroleum in Bergen, Norway, and Adjunct Professor in Reservoir Geophysics at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway. Per received his M.Sc. in Applied Petroleum Geosciences from NTNU, and his Ph.D. in Geophysics from Stanford University, California. Per worked at Norsk Hydro Research Center in Bergen from 2001–6, and at Rock Physics Technology from 2006–7. Per's research interests include applied rock physics, and AVO analysis, for quantitative seismic exploration and reservoir characterization. Per has taught applied rock physics courses for several oil companies and has served as course instructor at EAGE Educational Days in London and Moscow. Per was the SEG Honorary Lecturer in Europe in 2009.

Tapan Mukerji received his Ph.D. in Geophysics from Stanford University in 1995 and is now an Associate Professor (Research) in Energy Resources Engineering and a member of the Stanford Rock Physics Project at Stanford University. Professor Mukerji co-directs the Stanford Center for Reservoir Forecasting (SCRF) focussing on problems related to uncertainty and data integration for reservoir modeling. His research interests include wave propagation and statistical rock physics, and he specializes in applied rock physics and geostatistical methods for seismic reservoir characterization, fracture detection, 4-D monitoring, and shallow subsurface environmental applications. Professor Mukerji is also a co-author of The Rock Physics Handbook (Cambridge University Press, second edition 2009), and has taught numerous industry courses. He received the Karcher award from the Society of Exploration Geophysicists in 2000.

Gary Mavko received his Ph.D. in Geophysics from Stanford University in 1977 where he is now Professor (Research) of Geophysics. Professor Mavko co-directs the Stanford Rock Physics and Borehole Geophysics Project (SRB), a group of approximately 25 researchers working on problems related to wave propagation in earth materials. Professor Mavko is also a co-author of The Rock Physics Handbook, and has been an invited instructor for numerous industry courses on rock physics for seismic reservoir characterization. He received the Honorary Membership award from the Society of Exploration Geophysicists in 2001, and was the SEG Distinguished Lecturer in 2006.

Table of Contents

Preface xi

1 Introduction to rock physics 1

1.1 Introduction 1

1.2 Velocity-porosity relations for mapping porosity and facies 2

1.3 Fluid substitution analysis 15

1.4 Pressure effects on velocity 24

1.5 The special role of share wave information 30

1.6 Rock physics "What ifs?": fluid and lithology substitution 42

1.7 All models are wrong…some are useful 43

2 Rock physics interpretation of texture, llithology and compaction 48

2.1 Introduction 48

2.2 The link between rock physics properties and sedimentary microstructure: theory and models 51

2.3 Example: rock physics interpretation of microstructure in North Sea turbidite systems 70

2.4 Relating rock physics to lithofacies and depositional environments 81

2.5 Example: seismic lithofacies in a North Sea turbidite system 83

2.6 Rock physics depth trends 90

2.7 Example: rock physics depth trends and anomalies in a North Sea field 96

2.8 Rock physics templates: a tool for lilthology and fluid prediction 101

2.9 Discussion 107

2.10 Conclusions 109

3 Statistical rock physics: Combining rock physics, information theory, and statistics to reduce uncertainty 111

3.1 Introduction 111

3.2 Why quantify uncertainty? 112

3.3 Statistical rock physics workflow 123

3.4 Information entropy: some simple examples 132

3.5 More Carlo simulation 136

3.6 Statistical classification and pattern recongniition 138

3.7 Discussion and summary 165

4 Common techniques for Quantitative seismic interpretation 168

4.1 Introduction 168

4.2 Qualitative seismic amplitude interpretation 168

4.3 AVO analysis 180

4.4 Impedance inveersion 230

4.5 Forward seismic modeling 252

4.6 Future directions in quantitative seismic interpreetation 256

5 Case studies: Lithology and pore-fluid prediction from seismic data 258

5.1 Case 1: Seismic reservoir mapping from 3D AVO in a North Sea turbidite system 258

5.2 Case 2: Mapping lithofacies and pore-fluid probabilities in a North Sea reservoir using seismic impedance inversions and statistical rock physics 278

5.3 Case 3: Sesimic lithology prediction and reservoir delineation using statistical AVO in the Grane field, North Sea 295

5.4 Case 4: AVO depth trends for lithology and pore fluid classification in unconsolidated deep-water systems, offshore West Africa 306

5.5 Case 5: Sesimic reservoir mapping using rock physics templates. Example from a North Sea turbidite system 312

6 Workflows and Guidelines 317

6.1 AVO reconnaissance 318

6.2 Rock physics "What ifs" and AVO feasibility studies 320

6.3 RPT analysis 322

6.4 AVO classification constrained by rock physics depth trends 323

6.5 Seismic reservoir characterization constrained by lithofacies analysis and statistical rock physics 325

6.6 Why and when should we do quantitative seismic interpretation? 328

7 Hands-on 332

7.1 Introduction 332

7.2 Problems 332

7.3 Project 336

References 340

Index 356

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