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 test, iterate and QC data. In hands-on exercises you will learn how you can perform QC techniques at every step to 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 that may follow in a QI study.

In this online hands-on course you will work on a North Sea dataset. 

Hardware requirements

Session 1

  • Introduction to the Johan Sverdrup dataset
  • Prestack synthetic vs seismic
  • Seismic QC
  • Gather flattening using RMO

Session 2

  • RMO (continued)
  • Impact on health checks
  • Commonly used conditioning workflows
  • Gather flattening using trim statics

Session 3

  • Coherent noise attenuation
  • Impact on health checks
  • Q filters

Session 4

  • Random noise attenuation
  • Spectral balancing
  • Impact on health checks

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: March 11–14 2024, 09:00 CET
  • Americas: March 25–28 2024, 08:00 CST
  • Asia Pacific: April 8–11 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.