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Title: 'EET 13: Velocities, Imaging, and Waveform Inversion - The Evolution of Characterizing the Earth's Subsurface' 

Instructor: Dr Ian Frederick Jones (ION, UK)

Level: Intermediate

Duration: 6 hours

CPD points: 3

Format: Self Paced Course, 7 video lectures recorded in a classroom delivery

Dates: the course is open for registration. After purchasing this course, you will have access to the course material for 2 months. Make sure to complete all the requirements for the achievement of the certificate within this period. 

Certificate
A certificate of attendance will be available upon completion of the course. After the end of the course, your certificate will remain available for download in your Profile page.

Course Material
All delegates will receive a copy of the e-book via email shortly after enrolling in the course. 

This book is part of Ian Jones’ EAGE Education Tour and will be a fusion of practical industrial elements, concentrating on the origin and nature of the geological complexities that give rise to imaging problems, as well as a physical (rather than mathematical) understanding of subsurface parameter estimation, and will also look at some possible future directions.

Short description
This video series will deal with velocities, imaging and waveform inversion, thereby concentrating on the origin and nature of the geological complexities that give rise to imaging problems, as well as a physical (rather than mathematical) understanding of the principles behind subsurface parameter estimation techniques, and will also look at some possible future directions. 

Participants' profile
The course is designed for practising geoscientists and geoscience students who desire to better understand the principles and limitations of both current and emerging technologies involved in subsurface parameter estimation and imaging, and geoscience students.

Pre-requisites

A general knowledge of geophysics.

About the instructor

Ian F. Jones received a joint honours BSc in Physics with Geology from the University of Manchester, UK, in 1977, an MSc in Seismology from the University of Western Ontario, Canada, and a PhD in Geophysical Signal Processing from the University of British Columbia, Canada. 

After working for ‘Inverse Theory & Applications Inc.’ in Canada for two years, he joined CGG, where for 15 years he was involved in R&D in the London and Paris offices, latterly as manager of the depth imaging research group. In 2000 he joined ION GX Technology, as a Senior Geophysical Advisor in their London office. In 2021 he joined BrightSkies Geoscience as Senior Geophysical Advisor.

His interests include velocity model building and migration, and his most recent activity includes writing the text books: ‘Velocities, Imaging, and Waveform Inversion: the evolution of characterising the Earth’s subsurface’ published by the EAGE in 2018; ‘An Introduction to Velocity Model Building’ published by the EAGE in 2010; and co-editing the SEG Geophysics Reprints series volumes ‘Classics of Elastic Wave Theory’ and also ‘Pre-Stack Depth Migration and Velocity Model Building’, as well as contributing the chapter on model building to the SEG online encyclopaedia.

He has served as an associate editor for the journals ‘Geophysics’ and ‘Geophysical Prospecting’, and teaches the SEG/EAGE/PESGB continuing education course on ‘Velocity Model Building’ and was an external lecturer at the University of Leeds and Imperial College London. Ian was awarded the EAGE’s Anstey Medal in 2003 for “contributions to the depth imaging literature”, made the SEG European Honorary Lecturer in 2012 for “contributions to advancing the science and technology of geophysics”, conducted the 2018-2019 EAGE International Education Tour, and was made an Honorary Life Member by the EAGE in 2018, and received the best paper award for his 2019 First Break tutorial on FWI.

By purchasing this course you agree to Terms and Conditions for  Registration
EAGE membership for the remainder of the year is included in the non-member fee
Lecturer name: Ian Jones
CPD poins: 3

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