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.
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: May 8–11, 08:00 CET
- Americas: May 22–25, 08:00 CST
- Asia Pacific: June 26–29, 06:30 CET
Course fee: EUR 1600 / USD 1760
You will be able to select the class that fits your agenda and time zone when registering.
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