Online Training: Pre-Stack Data Analysis with Pre-Stack Pro using Johan Sverdrup data. November 2020

LIMITED SPACE

To ensure you get the best learning experience there are only 15 seats available.

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Please join us from the comfort of your work environment, be it at home or your office, for an interactive, rewarding, educational and stimulating course. After running comprehensive training programs for a range of clients over the years, we are now launching a public online training course. Using Sharp Reflections’ Amazon AWS cloud-based PreStack Pro you will be guided by our knowledgeable team through a complex, but typical, quantitative interpretation project, investigating the seismic response of a heterogeneous reservoir. The program will run over four half days to fit around your working week.

You will be tasked to test and interpret QI attributes, as well as review their merits and pitfalls. Videos, accompanying the course, cover the detailed theory behind the workflows. These can be watched at your convenience, leaving you more time for hands-on activities.

 

Who should attend

  • Exploration and Production Geoscientists
  • Seismic interpreters
  • QI Geophysicists

No prior experience required

Pre-Stack Pro
Pre-stack data analysis using Pre-Stack 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.

Main program:
Pre-Stack Data Analysis with Pre-Stack Pro

Tue 10 Nov 8:00-12:30 (CET)
Introduction to Johan Sverdrup dataset
Tuning and Interference

Wed 11 Nov 8:00-12:30 (CET)
Synthetics versus Seismic
AVA Reflectivity Analysis

Thurs 12 Nov 8:00-12:30 (CET)
Seismic QC
Improving data quality

Fri 13 Nov 8:00-12:30 (CET)
From interface to layer properties
Final Interpretation

Cost: €1,200
Includes all AWS-cloud costs and optional program #

Optional Program:
Getting Started with Pre-Stack Pro (no cost optional add-on) #

Mon 9 Nov 8:00-14:30 (CET) #
Introductory session for new users, including tutorials

# Priority given to Main Program attendees

What can I expect from this Pre-Stack Data Analysis course?
Following the online training, you will be able to:

  • Understand the difference between pre-stack and post-stack seismic data, and relevance of pre-stack information for seismic interpreters
  • Compare pre-stack and post-stack response and investigate the relationship between partial angle stacks, angle gathers, and offset gathers
  • Review basic principles of seismic Amplitude-Versus-Offset/Angle, its
    relationship to elastic rock properties (density, P and S velocity), and the
    geophysical basis for estimating rock and fluid properties from pre-stack seismic
  • Learn to transform seismic offset data (used by processors) to the angle domain, and generate typical interpretation products themselves
  • Construct “blocky” 1-dimensional seismic models for typical sand/shale
    sequences, to explore amplitude behaviour and how it changes with fluid fill and layer thickness
  • Generate simple Amplitude-versus-angle curves from the results, and estimate the slope (gradient) and intercept for these plots
  • Review the concept of AVO classes and AVO cross-plots, and how they can be applied to 2D and 3D seismic data
  • Understand the uses of (and differences between) seismic AVO attributes, relative impedance attributes, and pre-stack coloured inversion data
  • Compare and contrast results on a real dataset, with well control for calibration
  • Investigate common sources of error in typical quantitative interpretation
    workflows (QI), and how they can be avoided with pre-stack techniques
  • Establish the importance of pre-stack visualization for assessing data quality, and conditioning pre-stack gathers for specific interpretation objective

Course Reviews
“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 Zoom 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 the virtual training? Or are you interested in getting future updates? You can also send us an email.