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Introduction to pre-stack data analysis with PreStack Pro
Please join us from the comfort of your own work environment, be it at home or your office, for an interactive, rewarding, educational and stimulating course.
You will be guided by our knowledgeable team through a complex, but typical, quantitative interpretation project, investigating the seismic response of a heterogeneous reservoir. You will be tasked to create, test and interpret QI attributes, as well as review their merits and pitfalls. Videos, accompanying the course, cover the detailed theory behind all of the workflows. These can be watched at your convenience, leaving you more time for hands-on activities.
Pre-stack data analysis using PreStack Pro unlocks all collected trace data. The software allows you to analyse and interpret your prospects and reservoirs more quantitatively; confidently predicting lithology and fluid-fill. Gather unique insight to data quality, with the capability to process and condition seismic for detailed attribute analysis that you will never extract from a stack volume.
PreStack Pro’s scalable HPC platform allows you to efficiently reduce interpretation and reservoir uncertainty by interrogating gather volumes that are routinely 100 times larger than a single stack and datasets in four and sometimes five dimensions.
Course main takeaways
- Exploit the value in pre-stack seismic data
- Understand the principles of seismic Amplitude-Versus-Offset/Angle, its relationship to rock and fluid elastic properties
- Validate seismic responses with forward modelling
- Review the concept of AVO classes and AVO cross-plots
- Understand the uses of seismic AVO attributes, relative impedance attributes, and pre-stack coloured inversion data
- Investigate common sources of error in typical quantitative interpretation workflows (QI), and how they can be avoided with pre-stack techniques
Program:
Half Day 1:
Getting started with PreStack Pro
- Optional introductory session for new users
- Project building, data loading, software navigation and visualization
Half Day 2:
- Introduction to the Johan Sverdup dataset
- Tuning and Interference
- Layer-based 1.5D modelling
Half Day 3:
- Synthetics versus Seismic AVA Reflectivity Analysis
- Pre-stack well ties
- Offset and Angle
- AVA attributes
Half Day 4:
- Seismic health checks
- Enhancing data quality
- Measuring improved quality with AVA attributes
Half Day 5:
- From interface to layer properties and final Interpretation
- Coloured inversion
- Elastic impedance and relative EEI
- Estimating layer properties
Recent Training Testimonials
“This has been one of the best courses I ever attended!”
“Thank you for the course! Tons of great info, it will be very useful. I appreciate it.”
“Great video lectures and great course material. Will go through this again with my own data.”
“The virtual class was very productive for me.”
“Very knowledgeable instructors.”
Hardware requirements
You don’t need a supercomputer to process the data sets. We will test your environment together beforehand – here’s what you will need:
- An up-to-date browser (eg Chrome, Safari, Firefox) with a stable internet connection (>15Mb/s)
- Ability to install HP Remote Graphics Software – download for free here for PC or here for MAC
- Ability to use Teams video-conference application
- A reasonable desktop/screen area (minimum 1920 x 1080), but to get the best experience we recommend two screens.
- Ability to display or print PDF guide to follow while working.
- Ability to view MP4-video files.
- A microphone and speaker or headphones.
Do you have questions about virtual training? Or are you interested in getting future updates? You can also send us an email.