Interpreting Subsurface Seismic Data

Interpreting Subsurface Seismic Data

1st Edition - May 27, 2022

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  • Editors: Rebecca Bell, David Iacopini, Mark Vardy
  • eBook ISBN: 9780128196922
  • Paperback ISBN: 9780128185629

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Interpreting Subsurface Seismic Data presents recent advances in methodologies for seismic imaging and interpretation across multiple applications in geophysics including exploration, marine geology, and hazards. It provides foundational information for context, as well as focussing on recent advances and future challenges. It offers detailed methodologies for interpreting the increasingly vast quantity of data extracted from seismic volumes. Organized into three parts covering foundational context, case studies, and future considerations, Interpreting Subsurface Seismic Data offers a holistic view of seismic data interpretation to ensure understanding while also applying cutting-edge technologies. This view makes the book valuable to researchers and students in a variety of geoscience disciplines, including geophysics, hydrocarbon exploration, applied geology, and hazards.

Key Features

  • Presents advanced seismic detection workflows utilized cutting-edge technologies
  • Integrates geophysics and geology for a variety of applications, using detailed examples
  • Provides an overview of recent advances in methodologies related to seismic imaging and interpretation


Graduate students and researchers in geosciences, including geophysics, exploration geophysics, applied geology, and hydrocarbon exploration

Table of Contents

  • Cover image
  • Title page
  • Table of Contents
  • Copyright
  • Contributors
  • About the editors
  • Chapter 1. Introduction
  • 1. Brief history of seismic exploration
  • 2. Book overview
  • 3. Future outlook
  • Section 1. Interpretation of seismic data in complex systems
  • Chapter 2. Natural Gas Hydrate Systems
  • 1. Gas hydrate
  • 2. Bottom simulating reflections
  • 3. Direct gas hydrate indicators
  • 4. Summary
  • Chapter 3. Seismic geomorphology as a tool to explore the georesource potential of slope failures—examples from offshore North West Shelf, Australia
  • 1. Introduction
  • 2. Methods
  • 3. Slope failures in the North West Shelf of Australia
  • 4. Concluding remarks
  • Chapter 4. Seismic facies and geobody characterization in the pre-salt rift section: the Lagoa Feia Group, Campos Basin, offshore Brazil
  • 1. Introduction
  • 2. Geological and tectonic settings
  • 3. Datasets
  • 4. Methods
  • 5. Results
  • 6. Discussion
  • 7. Conclusions
  • Chapter 5. Subjective uncertainty and biases: The impact on seismic data interpretation
  • 1. Uncertainty and biases
  • 2. Anchoring to conceptual models
  • 3. Availability bias
  • 4. Herding
  • 5. Framing bias
  • 6. Mitigation
  • 7. Final considerations
  • Section 2. Interpretation and reprocessing of legacy data
  • Chapter 6. The use of public vintage seismic reflection profiles: An example of data rescue from the eastern Tyrrhenian margin (Italy)
  • 1. Introduction and background
  • 2. Materials and methods
  • 3. Geological background
  • 4. Results
  • 5. Discussion
  • 6. Conclusions
  • Chapter 7. Time to depth seismic reprocessing of vintage data: A case study in the Otranto Channel (South Adriatic Sea)
  • 1. Introduction
  • 2. Geological setting
  • 3. Data and methods
  • 4. Results and discussion
  • 5. Conclusions
  • Chapter 8. Imaging subsurface structures using wave equation datuming advanced seismic techniques
  • 1. Introduction
  • 2. Wave equation datuming technique
  • 3. Case studies
  • 4. Conclusion
  • Exercises
  • Section 3. Quantitative seismic interpretation
  • Chapter 9. AVO: Theory and practice
  • 1. AVO standard equation
  • 2. AVO measurements
  • 3. Measurement errors
  • 4. Anisotropy
  • 5. Intercept-gradient crossplots
  • 6. AVO and elastic properties
  • 7. AVO projections
  • 8. AVO in the impedance domain
  • 9. Seismic χ-angles
  • 10. Application
  • 11. Summary
  • Chapter 10. Applications of seismic AVA inversions for petrophysical characterization of subsurface targets
  • 1. Introduction
  • 2. A brief introduction to Bayesian inversion
  • 3. Nile Delta inversion example
  • 4. Example of MCMC inversion applied to an onshore reflection seismic data
  • 5. Conclusions
  • Chapter 11. Full-waveform inversion of seismic data
  • 1. Introduction
  • 2. Workflow and validation on a 3D field dataset
  • 3. Challenges and opportunities
  • Index

Product details

  • No. of pages: 382
  • Language: English
  • Copyright: © Elsevier 2022
  • Published: May 27, 2022
  • Imprint: Elsevier
  • eBook ISBN: 9780128196922
  • Paperback ISBN: 9780128185629

About the Editors

Rebecca Bell

Rebecca Bell has 18 years’ experience in the interpretation of seismic reflection data. She is currently a senior lecturer at Imperial College London and teaches Seismic Techniques to undergraduates and MSc students. She has worked on a wide-range of academic and industry 2D and 3D seismic datasets working on scientific problems from ‘how do rift zones initiative?’ to ‘what controls the style of earthquake behaviour at subduction zones?’. She also has experience in collection of field data optimal for full-waveform inversion techniques and is interested in the application of machine learning and artificial intelligence to aid seismic interpretation.

Affiliations and Expertise

Senior Lecturer, Imperial College London, UK

David Iacopini

David Iacopini is currently associate professor at the University of Naples Federico II. He teaches Marine Geology and subsurface geology techniques. In the past he has been working in Pisa and Aberdeen University where he did coordinated the Integrated Petroleum Geology MSc and contributed to establish the Geophysics Msci. His scientific interests range from basin analysis to marine geology including reservoir characterization for storage technology, using 2D and 3D seismic interpretation, boreholes and image processing techniques. He acted as research consultant for various O&G industry mainly on deep water structures, pre-salt reservoir characterization and subsurface fault characterization.

Affiliations and Expertise

Associate Professor at the University of Naples Federico II, Italy

Mark Vardy

Mark Vardy has 14 years’ experience in the acquisition, processing and interpretation of seismic reflection data. He is currently head of R&D at SAND Geophysics and holds a Visiting Researcher position at the University of Southampton, where he has taught seismic processing and interpretation methods at undergraduate and postgraduate level. He has contributed to a wide-range of academic and industry projects, working with data at all scales (engineering to crustal), 2D and 3D, and in a broad range of environments (both deep and shallow water). However, his primary focus is on quantitative imaging/inversion at engineering scales.

Affiliations and Expertise

Head of Research and Development, SAND Geophysics, UK

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