Prestack Seismic Inversion

Intermediate  |  4 half days  |  Online  |  Hands-on

In the course you will become familiar with the Sharp Reflections Big Data platform seismic inversion toolkit and algorithms and the basic inversion concepts. You will learn how to transform seismic reflectivities and amplitude versus angle (AVA) signatures into impedances, facies, and other rock and fluid properties, and quality control the seismic inversion. You will be guided through the principles behind prestack Bayesian seismic inversion and its practical, hands-on application.

The course covers the two methods CRAVA and PCube+ and teaches you how to use these to transform seismic reflectivity volumes into layered property cubes, providing valuable input to 3D reservoir models.

As part of this online hands-on course, you will work with a dataset from the Johan Sverdrup field.

Hardware requirements

Session 1

  • Introduction to Johan Sverdrup dataset
  • Well ties and wavelet estimation

Session 2

  • Assessing resolution limitations of seismic and inversion processes
  • Bayesian seismic inversion
  • Building a low frequency (CRAVA) model
  • Traditional (CRAVA) seismic inversion parameterization

Session 3

  • Interpretation of inversion-derived elastic properties
  • Introduction to rock physics models and litho-fluid classes (LFC) in elastic space, in preparation of a PCube+ classification inversion
  • Parameterizing PCube+ probabilistic inversion

Session 4

  • Interpreting the results of the probabilistic inversion, including uncertainties in classification and interpreted horizons
  • Estimating unit thicknesses from inversion results
  • Comparing CRAVA and PCube+ inversion results on synthetic (wedge model) and real data

Development and exploration and production geoscientists, seismic interpreters, QI geophysicists.

  • Understand how Bayes Theorem is applied to seismic inversion
  • Exploit well information to build an inversion prior model
  • Incorporate geologic constraints when building a prior probability model
  • Understand and define elastic and classification inversion parameters
  • Quality control inversion results
  • Understand the differences between elastic property and classification inversion

We recommend that users with no or limited experience in Sharp Reflections Big Data complete the Getting Started course.

General knowledge of geophysics and seismic interpretation is recommended. Trainees should have an understanding of basic rock physics and amplitude-versus-offset (AVO) principles.

You will be connecting to the Sharp Reflections cloud. You will need:

  • Up-to-date browser (e.g. Chrome, Safari, Firefox)
  • Stable internet connection (>15MBit/s)
  • Microsoft Teams videoconference

Upcoming courses

  • Americas:
    11-14 Nov, 2024, 08:00 CST
  • Europe:
    18-21 Nov, 2024, 09:00 CET

    Course fee: EUR 1600 / USD 1760
    (ex. applicable taxes)

    You will be able to select the class that fits your agenda and time zone when registering.