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Online Training: Pre-Stack Seismic Inversion with PreStack Pro (January 2021)

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

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With Sharp Reflections’ fully integrated software, pre-stack seismic inversion is just a button-push away.

This interactive online course guides you through the principles behind one-step pre-stack Bayesian seismic inversion theory and its practical, hands-on application in our PreStack Pro software package. You will be guided by our knowledgeable team through a real-world inversion project, investigating the seismic response of a complex heterogeneous reservoir. At the end of the course, you will understand basic inversion concepts, and be able to set up, run and quality control seismic inversions for facies and elastic properties using PreStack-Pro software.

Model-based pre-stack AVO inversion derives lithofacies and/or rock properties from seismic amplitude data, with the aid of prior models that incorporate petrophysical reservoir properties and seismic horizons. Results transform seismic reflectivity volumes into layered property cubes, which improve vertical resolution and provide valuable input to 3D reservoir models. Two complementary algorithms are covered in the course: CRAVA and PCube+.

See how you can easily go beyond seismic for your interpretation.

Who should attend?

  • Exploration and Production Geoscientists
  • Seismic interpreters
  • QI Geophysicists

No prior experience with PreStack Pro required.

PreStack Pro
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, then seamlessly step in to detailed attribute analysis and pre-stack inversion.

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 Seismic Inversion with PreStack Pro

Mon 25 Jan to Thurs 28 Jan
8:00-12:30 (CET)

Cost: €1,200
Includes all AWS-cloud costs

What can I expect from this Pre-Stack Seismic Inversion course?

Following the online training, you will be able to:

  • Understand seismic reflectivity, the concepts of interfaces and layers, and how this is extended to the pre-stack domain with Zoeppritz, etc.
  • Have insight as to how Bayes Theorem is applied to seismic inversion, why it works and how we can compute uncertainty. Appreciate the assumptions that must be made in probabilistic inversion theory
  • Build a prior model in CRAVA with elastic well log data and low frequencies, together with handling stratigraphy and depth trends in the prior model
  • Define and understand CRAVA inversion parameterisation including Signal to Noise
  • Estimate seismic wavelets and use wavelet scaling to account for variations in seismic amplitude versus seismic reflectivity
  • Exploit the relationships between elastic properties and how these relationships are propagated from location to location. This way lateral variability in the subsurface can be accounted for
  • Build and interpret Rock Physics Models to create litho-fluid classes (LFC) in elastic space, in preparation of a PCube+ classification inversion then manage the differences between the resolution of and distribution within the different data types – seismic, well data and interpreted horizons
  • Apply geologic constraints when building a prior model defining the probability of each LFC occurring in all layers used in the seismic inversion.
  • Capture one of the unique aspects of PCube+ :- horizon or structural uncertainty, which can be used as a KPI in your static model
  • Compute and interpret LFC probability volumes from a PCube+ inversion output. PCube+ is not an elastic inversion, outputs are the probability of any one LFC occurring. Elastic properties are calculated after inversion
  • Assess the level of influence of the seismic data on the inversion output and calibrate results against wedge models
  • Understand the differences between classification inversion (PCube+) and elastic property inversion (CRAVA)

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.


Published on November 11, 2020