Interpreting Subsurface Seismic Data

Erscheinungsjahr 2022
ISBN: 978-0-12-818562-9
Verlag: Elsevier Science Publishing Co Inc

Buch, Englisch, 382 Seiten, Format (B × H): 236 mm x 191 mm, Gewicht: 752 g

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.

Autoren/Hrsg.

Iacopini, David

Bell, Rebecca

Vardy, Mark

Fachgebiete

• Geowissenschaften Geologie Vulkanologie, Seismologie
• Naturwissenschaften Physik Angewandte Physik Geophysik
• Geowissenschaften Geologie Geophysik

Inhaltsverzeichnis

1. Introduction 2. The use of public vintage seismic reflection profiles: an example of data rescue from the eastern Tyrrhenian margin (Italy) 3. Natural Gas Hydrate Systems 4. Products of Slope Failure Processes as Potential Petroleum System Elements - Seismic Examples From Offshore Northwest Shelf of Australia 5 Subjective uncertainty and biases: the impact on seismic data interpretation 6. Time to Depth Seismic Reprocessing of Vintage Data: a Case Study in the Otranto Channel (South Adriatic Sea) 7. Imaging Subsoil Structures Using Wave-Equation Datuming 8. Full waveform-inversion (FWI) of seismic data 9. AVO: Theory and Practice 10. Seismic AVA inversion for petrophysical characterization of subsurface targets

Über Autor(innen)

Iacopini, David
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.

Bell, Rebecca
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.

Vardy, Mark
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.