Data Conditioning for Quantitative Interpretation

Intermediate  |  4 half days  |  Online

In this course you will experience the benefits of using a high-performance computing (HPC) setup to quickly QC and improve prestack data for more reliable quantitative interpretation of reservoir properties and fluid fill. In hands-on exercises you will learn how you can iterate with QC techniques that tell you if you are moving in the right direction and improving the data. You will use the complete toolkit to QC, process and analyze seismic amplitudes straight from imaged gathers, all the time considering the AVA based analysis and/or prestack inversion goals that may follow in a QI study.

In this online hands-on course you will work on an exploration dataset.

Hardware requirements

Session 1

  • Explore the dataset using prestack, stack and map viewers
  • Convert offset gathers to the basic inputs for Quantitative Interpretation:
    • Offset to angle conversion
    • Intercept/Gradient volumes computation
  • Compare prestack synthetic with the raw gathers using log viewer and data comparator
  • Use seismic Quality Control tools such as Signal/Noise and Bandwidth for QI health checks
  • Identify main sources of noise and plan appropriate gather conditioning steps

Session 2

  • Flatten gathers by Residual Move-Out (RMO) processing
  • QC RMO result and iterate interactively if necessary
  • Evaluate impact on QI health checks: move-out QC
  • Commonly used conditioning workflows and health checks
  • Practice workflow manipulation
  • Flatten gathers further using trim statics
  • Know when and how to switch to non-interactive, offline processing.

Session 3

  • Attenuate prestack coherent noise such as multiples with parabolic Radon and refractions with linear Radon
  • Attenuate structurally coherent noise with prestack dip filtering
  • Evaluate impact on QI health checks with interactive difference-in-viewer
  • Estimate and apply Q compensation for de-absorption

Session 4

  • Attenuate random noise in gathers and/or the volume with 3D structural consistent denoise algorithms
  • Apply spectral balancing across the gather offset or angle range to avoid QI pollution by far angle stretch
  • Evaluate impact on QI health checks
  • Discussion and Q&A

Exploration and production geoscientists, seismic interpreters, QI geophysicists, processing geophysicists.

  • Understanding the overarching processing ideology in Sharp Reflections Big Data
  • Quantitative validation of data
  • Implementation of commonly used algorithms
  • Creating and editing workflows

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

General knowledge of geophysics, seismic interpretation and rock physics is recommended.

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

  • Europe: 9-12 Sept, 2024, 09:00 CET
  • Americas: 23-26 Sept, 2024, 08:00 CST
  • Asia Pacific: 14-17 Oct, 2024, 06:30 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.