Webinar - Seismic Demultiple: Post-Migration Practical Workflows for Real-World Data Challenges
Seismic Demultiple: Post-Migration Practical Workflows for Real-World Data Challenges
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Are your demultiple workflows actually improving interpretation or just making gathers look cleaner? How do you remove multiples without damaging primaries? And with ML in the mix- what truly works?
Join this webinar for a practical, decision-oriented exploration of demultiple workflows post-migration based on real data using Sharp Reflections.
Date: Tuesday, 19th of May
Time: 1:00-1:30 PM GST - Dubai Time
Format: Online
For this webinar, we will begin with a concise introduction to Sharp Reflections software, followed by a live demonstration of Conventional Radon demultiple, highlighting its interactivity, usability, and the critical requirement for clear moveout separation between primaries and multiples.
We will then examine ML-based demultiple approach, discussing how trained models can enhance workflows while still facing similar physical constraints related to velocity discrimination.
The session will also address key challenges encountered in Middle East datasets, including interbed multiples, water-bottom reverberations, and complex onshore near-surface effects. We shall demonstrate why no single method solves all challenges. Instead, effective demultiple requires iterative testing and validation at the gather level.
Through live examples, we will show how our software enables:
Interactive demultiple testing directly on gathers
Comparison of conventional vs ML workflows
Real-time QC to assess amplitude preservation and geological consistency
Integrated noise attenuation workflows for near-offset ringing and coherent noise
Walk away with a clearer approach to designing, testing, and validating demultiple workflows that truly support interpretation.
“Demultiple Sharply. Interpret Confidently”
Who should attend
This webinar is intended for geophysicists, seismic processors, and interpreters seeking a clear, technically grounded perspective on both the limitations of conventional methods and the role of emerging machine learning solutions in seismic data processing.
🔑 Keywords
Sharp Reflections Software, Seismic Demultiple, Radon, Machine Learning Demultiple, Primaries, Cleaner Gathers, Amplitude Preservation, Software Evaluation, Interbed Multiples, Water-Bottom Reverberations, Complex Onshore Near-Surface Effects, Middle East, Complex Reservoirs