Webinar Sessions
ffA’s webinar sessions are held across the internet and integrate data and conference call within a
standard Web browser.
The sessions provide you with the opportunity to view ffA software in real time and contribute through a
question and answer session.
To register for the sessions listed below, click on the ‘session title’ on the date and time you would
like to join and send the email.
In advance of the session you will receive the link and password required to join.
Set up will begin 15 minutes prior to the session start time.
If there is any other topics that you would like to see on the webinar schedule or if you would
like to arrange a free, exclusive webinar for your own organisation please
contact us
ffA Upcoming Webinars 2010
| Date |
Time |
Session Title |
Overview |
|
Thursday 8th July |
16:00 GMT |
Automated Fault Detection and Damage Zone Analysis.
|
Learn how to provide a rapid understanding of the faults within your dataset. |
|
Wednesday 14th July |
08:30 GMT |
Automated Fault Detection and Damage Zone Analysis.
|
As above. |
|
Tuesday 10th August |
16:00 GMT |
Thin Bed Analysis.
|
This webinar will focus on how seismic analysis can be used for identification and
investigation of thin beds, using SVI Pro as the tool to demonstrate this.
. |
|
Thursday 19th August |
08:30 GMT |
Thin Bed Analysis.
|
As above. |
Length: Each session is scheduled to last 30 minutes |
|
| Previous Session Topics |
|
|
What's New in SVI Pro & SEA 3D Pro 2010. Learn more about the latest release of our software packages SVI Pro and SEA 3D Pro. |
|
|
3D Carbonate Features. Identify and Extract 3D Carbonate Features. |
|
|
Non Amplitude based Stratigraphic Imaging: An overview of ways to analyse the stratigraphy in your data, including
Identifying pinch-outs, Mounding, Salt Diapirs and Gas Chimneys. |
|
|
Data Reconnisance. Exploring a new block? Have you tried ffA’s Data Reconnisance? |
|
|
New Releases. Introducing the latest improvements to ffA software. |
|
|
Seismic Analysis. Obtain better structural understanding with seismic analysis. |
|
|
Spectral Enhancement. Improve your interpretation with spectral enhancement. |
|
|
Thin Bed Analysis. How can seismic analysis be used for identification and investigation of thin beds? |
|
|
Iso-Proportional Slicing & ScanInterp.
ScanInterp – Provides a rapid method of extracting fault surfaces.
IPS – Efficient characterisation of geologically consistent intervals from reservoir to regional scale |
|
|
Cross Plot & Trace Stacking.
Sophisticated, user friendly volumetric attribute analysis and geobody delineation tools for
stratigraphic imaging. |
|
|
Where are your faults and what can you learn from them?
This covered Fault Imaging and Fault Damage Zone Analysis. |
|
|
Interactive Facies Classification: The IFC tool is a 3D interpreter driven seismic classification tool which allows multi
attributes to be combined with different weightings as decided by the interpreter to provide an accurate
facies classification.
The webinar looked at several geological settings and different ways to use the tool to create a classification. |
|
|
Carbonates: Identification and Extraction of 3D features and anomalies.
Key topics: Karsts, sinkholes, mounds and reefs. |
|
|
Data Conditioning: - Removal of Random and Coherent Noise.
- Spectral Enhancement.
- Adaptive Noise Cancellation which varies with the strata in your data.
- How to objectively assess a Noise Cancelled volume. |
|
|
New Enhanced Features of SEA 3D Pro: New Standalone application on Linux : with 16 and 32 bit processing,
seamless integration with GeoProbe and flexible methods of working for improved workflow efficiency and integration. |
|
|
Data Reconnaissance: How to use SVI Pro to screen for amplitude anomalies, identify regional structural and
local structural anomalies, and rapidly associate structure to amplitude. |
|
|
How non-amplitude based attributes can be applied in SVI Pro to aid understanding of different stratigraphic settings,
looking at both carbonate and clastic environments using attributes derived from the
Frequency, Phase, and structural variability of the data. |
|