Fred Aminzadeh

Reservoir Characterization (eBook, PDF)

Fundamentals and Applications, Volume 2

• Format: PDF

Produktbeschreibung

RESERVOIR CHARACTERIZATION The second volume in the series, "Sustainable Energy Engineering," written by some of the foremost authorities in the world on reservoir engineering, this groundbreaking new volume presents the most comprehensive and updated new processes, equipment, and practical applications in the field. Long thought of as not being "sustainable," newly discovered sources of petroleum and newly developed methods for petroleum extraction have made it clear that not only can the petroleum industry march toward sustainability, but it can be made "greener" and more environmentally friendly. Sustainable energy engineering is where the technical, economic, and environmental aspects of energy production intersect and affect each other. This collection of papers covers the strategic and economic implications of methods used to characterize petroleum reservoirs. Born out of the journal by the same name, formerly published by Scrivener Publishing, most of the articles in this volume have been updated, and there are some new additions, as well, to keep the engineer abreast of any updates and new methods in the industry. Truly a snapshot of the state of the art, this groundbreaking volume is a must-have for any petroleum engineer working in the field, environmental engineers, petroleum engineering students, and any other engineer or scientist working with reservoirs. This outstanding new volume: * Is a collection of papers on reservoir characterization written by world-renowned engineers and scientists and presents them here, in one volume * Contains in-depth coverage of not just the fundamentals of reservoir characterization, but the anomalies and challenges, set in application-based, real-world situations * Covers reservoir characterization for the engineer to be able to solve daily problems on the job, whether in the field or in the office * Deconstructs myths that are prevalent and deeply rooted in the industry and reconstructs logical solutions * Is a valuable resource for the veteran engineer, new hire, or petroleum engineering student

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 576
• Erscheinungstermin: 8. Dezember 2021
• Englisch
• ISBN-13: 9781119556251
• Artikelnr.: 63119316

Autorenporträt

Fred Aminzadeh, PhD, is a world-renowned academic and scientist in the energy industry. With over 20 years of teaching experience at the University of Southern California and at the University of Houston, he also has extensive industry experience not only in oil and gas, but also in geothermal energy and other areas of energy. He also served as the president of Society of Exploration Geophysicists. He has been author of multiple books and has written numerous papers that have been well-received by academics and industry experts alike. He served as the editor in chief of the journal, The Journal of Sustainable Energy Engineering, formerly of Scrivener Publishing. He is currently editing the series, "Sustainable Energy Engineering," for the Wiley-Scrivener imprint.

Inhaltsangabe

Foreword xix

Preface xxiii

Part 1: Introduction 1

1 Reservoir Characterization: Fundamental and Applications - An Overview 3
Fred Aminzadeh

1.1 Introduction to Reservoir Characterization? 3

1.2 Data Requirements for Reservoir Characterization 5

1.3 SURE Challenge 7

1.4 Reservoir Characterization in the Exploration, Development and Production Phases 10

1.4.1 Exploration Stage/Development Stage 10

1.4.2 Primary Production Stage 11

1.4.3 Secondary/Tertiary Production Stage 11

1.5 Dynamic Reservoir Characterization (DRC) 12

1.5.1 4D Seismic for DRC 13

1.5.2 Microseismic Data for DRC 14

1.6 More on Reservoir Characterization and Reservoir Modeling for Reservoir Simulation 15

1.6.1 Rock Physics 16

1.6.2 Reservoir Modeling 17

1.7 Conclusion 20

References 20

Part 2: General Reservoir Characterization and Anomaly Detection 23

2 A Comparison Between Estimated Shear Wave Velocity and Elastic Modulus by Empirical Equations and that of Laboratory Measurements at Reservoir Pressure Condition 25
Haleh Azizia, Hamid Reza Siahkoohi, Brian Evans, Nasser Keshavarz Farajkhah and Ezatollah KazemZadeh

2.1 Introduction 26

2.2 Methodology 28

2.1.2 Estimating the Shear Wave Velocity 28

2.2.2 Estimating Geomechanical Parameters 31

2.3 Laboratory Set Up and Measurements 32

2.3.1 Laboratory Data Collection 34

2.4 Results and Discussion 35

2.5 Conclusions 41

2.6 Acknowledgment 43

References 43

3 Anomaly Detection within Homogenous Geologic Area 47
Simon Katz, Fred Aminzadeh, George Chilingar and Leonid Khilyuk

3.1 Introduction 48

3.2 Anomaly Detection Methodology 49

3.3 Basic Anomaly Detection Classifiers 50

3.4 Prior and Posterior Characteristics of Anomaly Detection Performance 52

3.5 ROC Curve Analysis 55

3.6 Optimization of Aggregated AD Classifier Using Part of the Anomaly Identified by Universal Classifiers 58

3.7 Bootstrap Based Tests of Anomaly Type Hypothesis 61

3.8 Conclusion 64

References 65

4 Characterization of Carbonate Source-Derived Hydrocarbons Using Advanced Geochemical Technologies 69
Hossein Alimi

4.1 Introduction 70

4.2 Samples and Analyses Performed 71

4.3 Results and Discussions 72

4.4 Summary and Conclusions 79

References 80

5 Strategies in High-Data-Rate MWD Mud Pulse Telemetry 81
Yinao Su, Limin Sheng, Lin Li, Hailong Bian, Rong Shi, Xiaoying Zhuang and Wilson Chin

5.1 Summary 82

5.1.1 High Data Rates and Energy Sustainability 82

5.1.2 Introduction 83

5.1.3 MWD Telemetry Basics 85

5.1.4 New Telemetry Approach 87

5.2 New Technology Elements 88

5.2.1 Downhole Source and Signal Optimization 89

5.2.2 Surface Signal Processing and Noise Removal 92

5.2.3 Pressure, Torque and Erosion Computer Modeling 93

5.2.4 Wind Tunnel Analysis: Studying New Approaches 96

5.2.5 Example Test Results 108

5.3 Directional Wave Filtering 111

5.3.1 Background Remarks 111

5.3.2 Theory 112

5.3.3 Calculations 116

5.4 Conclusions 132

Acknowledgments 133

References 133

6 Detection of Geologic Anomalies with Monte Carlo Clustering Assemblies 135
Simon Katz, Fred Aminzadeh, George Chilingar, Leonid Khilyuk and Matin Lockpour

6.1 Introduction 135

6.2 Analysis of Inhomogeneity of