DLP Webinar with Peter Haffinger

Quantitative Prediction of Injected CO2 at Sleipner Using Wave-Equation Based AVO



  Tuesday 29 January 2018 - 15.00 (CET)


  1 hour lecture + 30 minutes Q&A




  Free for EAGE members 


  Computer with Internet connection and audio/video capabilities


EAGE webinars are live presentations with lecturers selected from the best presentations at EAGE Conferences. After the lecture, participants can interact with the instructor and ask questions. Joining a webinar is simple: all you need is a computer with Internet connection and audio/video capabilities (no software installation required). This service is complimentary for EAGE members and places are limited.

Webinar description

This lecture is mainly concerned with the quantitative prediction of reservoir fluids in the subsurface and to this purpose the concept of wave-equation based AVO (WEB-AVO) inversion will be discussed. While conventional AVO technologies are usually based on the linearised Zoeppritz equations, WEB-AVO solves the full elastic wave-equation. Effectively, the technology becomes a true amplitude AVO scheme that properly takes complex wave-propagation effects as internal multiple scattering and mode conversion into account.
Another aspect that will be treated is the use of compressibility and shear compliance (inverses of bulk modulus and shear modulus) as parameters for reservoir characterisation. While acoustic impedance, shear impedance and/or vp/vs are mostly used in this context, WEB-AVO solves for compressibility and shear compliance since the wave-equation is formulated in these terms. What sounds like a necessity turns into added value since these parameters are highly sensitive to porosity and pore fill (compressibility) but also to lithology (shear compliance).
The presented technology will be demonstrated on a seismic field dataset from the Sleipner Carbon Capture and Storage (CCS) project. WEB-AVO was used to quantitatively estimate the amount of injected CO2 in 2008 and the results are in good accordance with the reported figures from the operating company.


Participants' Profile

- Geoscientists involved in seismic reservoir characterisation
- Geoscientists in the field of CO2 capture, storage and sequestration
- Geoscientists with an interest in alternative parameters for reservoir characterisation
- Professionals/students interested in new technologies


About the Lecturer

Peter HaffingerBefore becoming a co-founder of Delft Inversion in 2013, Peter received a Ph.D. from Delft University of Technology (The Netherlands) for his work on full waveform inversion in general but also for specific applications to the reservoir. He was among the first year students of the International Joint Master programme in Applied Geophysics, organised by the IDEA League and including educational stays at TU Delft, ETH Zurich and RWTH Aachen. As part of his career he performed research for Western Geco in Gatwick, UK as well as the Saudi Aramco EXPEC Advanced Research Centre in Dhahran, Saudi Arabia. With the team of Delft Inversion his ambition is to establish the next generation AVO technology in the field of seismic reservoir characterisation.

Registration CLOSED

In order to ensure an interaction of good quality and a sufficient time for questions and answers, spaces for this webinar are limited. The applications for this webinar have reached the maximum capacity and registration is now closed. 

This service is dedicated to EAGE members: only applicants with a valid EAGE membership will be admitted. Admitted applicants will receive a confirmation of their registration and the link for connecting to the webinar. If you were admitted, you can expect to receive a confirmation one week prior to the webinar. The link will be sent to you about 1 hour prior to the start of the webinar and you will be able to join the connection 30 minutes before the scheduled start time.

If you were not admitted to this session, please consult our Calendar of Events to learn about future webinars. EAGE webinars are also organized on demand for groups of at least 10 member: click here to learn more about requesting a webinar.