Automatic refraction-based velocity model building in complex marine environments
- Ernesto Sandoval-Curiel (Geophysics Technology, EXPEC Advanced Research Center, Saudi Aramco) | Daniele Colombo (Geophysics Technology, EXPEC Advanced Research Center, Saudi Aramco) | Diego Rovetta (Geophysics Technology, EXPEC Advanced Research Center, Saudi Aramco) | Ersan Turkoglu (Geophysics Technology, EXPEC Advanced Research Center, Saudi Aramco) | Mohammed Al-Najjar (Geophysics Technology, EXPEC Advanced Research Center, Saudi Aramco) | Apostolos Kontakis (Geophysics Technology, EXPEC Advanced Research Center, Saudi Aramco)
- Document ID
- Society of Exploration Geophysicists
- 2018 SEG International Exposition and Annual Meeting, 14-19 October, Anaheim, California, USA
- Publication Date
- Document Type
- Conference Paper
- 2018. Society of Exploration Geophysicists
- Modeling, Marine, Migration, Refraction, Velocity analysis
- 0 in the last 30 days
- 15 since 2007
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Conventional velocity model building utilizes migration velocity analysis (MVA) to obtain the most accurate distribution of velocities for imaging. This is typically done in layer-stripping with interpretation support by migrating the seismic data with the best available estimate of interval velocities, analyzing the residual move-out after migration, and converting the kinematic errors into velocity updates. Several iterations of horizon interpretation, move-out picking and reflection tomography are typically needed where artifacts can be introduced in the velocity distribution if the signal-to-noise ratio is low. We developed a novel refraction analysis method to robustly derive in an automatic way the shallow velocity distribution. The key aspect of the method consists of the introduction of a common hyper-dimensional sorting domain for refracted waves consisting of midpoint-offset where travel time-offset functions are evaluated to automatically derive velocity-depth profiles. The process is entirely data driven and does not require a starting model. The methodology is demonstrated on three complex 3D marine datasets where it provides imaging results comparable to extensive velocity model building workflows.
Presentation Date: Monday, October 15, 2018
Start Time: 1:50:00 PM
Location: Poster Station 16
Presentation Type: Poster
|File Size||629 KB||Number of Pages||5|
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