Quantitative Seismic Interpretation
Gerhard Diephuis
Jaap Mondt
5 days
Business context
In addition to structural and stratigraphic interpretation,
Quantitative Interpretation of seismic data can add considerable
value in the subsurface evaluation process. For exploration
prospects, various seismic attributes can be used to differentiate
between alternative porefill scenario's and improve the decision
making. In field development settings, where more well calibration
is normally available, tools like seismic inversion can extrapolate
and predict key reservoir properties outside well control and thus
improve the reliability of a reservoir model. The QI workflow
necessitates consistent integration of the available geological,
geophysical, petrophysical data, yielding also team integration and
data QC as an important spin-off.
Knowledge of the possibilities and limitations of the various QI
techniques and workflows is essential for successful application.
Knowing what data is required and how it must be pre-conditioned is
important as well.
Who should attend
Geologists, geophysicists and petroleum engineers involved in
the processing and interpretation of 2D and 3D seismic data.
Course content
- Seismic fundamentals for QI
- Rock and fluid physics
- Data preparation/conditioning
- Log QC, seismic-to-well calibration and wavelet extraction
- Statistics for QI
- Forward modeling
- AvO
- Acoustic, elastic and lithology inversion
- Seismically constrained reservoir modeling
- Acquisition and processing requirements for QI
- QI of time-lapse (4D) data (optional)
- Pressure Prediction from seismic data (optional)
Learning, methods and tools
At the end of the course participants will have a solid
foundation in Quantitative Interpretation concepts, workflows and
data requirements. They will be able to model the seismic response
of alternative geological scenario's, judge the feasibility of a QI
project for a dataset in question and be able to avoid the most
common pitfalls. And they can better liaise and collaborate with
staff in neighbouring Geoscience (sub)disciplines. Whereas the
course does not cover training in the hands-on use of common
industry software tools for QI or inversion, it will provide the
necessary foundation required for subsequent use of such tools in a
professional manner.
The course uses a mixture of lectures, practical exercises and
case histories. Use of participants laptops for exercises and WIFI
internet access in the classroom is recommended. Participants can
bring own cases for discussion.
The course should be customized to meet the specific background
and needs of the participants: focus can be more on fundamentals or
more on the advanced application. Topics can be tuned to the
geological setting in which participants operate, and focus on
those QI techniques that are most likely to be successful there.
The course can be extended with extra time for coaching
participants on the application of QI techniques in their own work
environment.
Alternative lecturers are Dr. Jaap Mondt and Drs. Ronald
Hoogenboom.