Q Imaging

Accurate Q Models for Viscoacoustic Imaging

wave imagewave image
All PGS Q-enabled migration algorithms utilize a tomographically derived model within the migration process to compensate directly for amplitude loss and phase distortion. This can resolve localized attenuating anomalies that cause energy loss in seismic waves.
  • Compensates for attenuation affects upon both amplitude and phase in pre-stack data
  • Simultaneous updates of Q and V using consistent kinematics through tomography
  • Robust Q model updates even when velocity is imperfect
  • Fast and fully integrated with all PGS imaging algorithms

 

To create the most accurate images of complex geological structures, PGS employs a Q-velocity model building (Q-VMB) workflow to simultaneously build high-resolution anisotropic velocity and Q models.

The Q-VMB workflow consists of three steps

  • Q-residual moveout analysis (Q-RMO) to determine the inversion constraints
  • Q-joint tomography (Q-JWTOMO) to perform the inversion using the constraints to get high-resolution anisotropic velocity and Q models
  • Q-migration: Beam, Kirchhoff, wave equation migration (WEM), reverse time migration (RTM)
Before
After

Workflow Details

The illustration below shows the QVMB workflow in detail. Initial seismic images are generated through Q-migration using velocity model V0 and background Q model Q0. After this Q-RMO is applied to common image gathers (CIGs) to measure traveltime residuals for velocity updates and spectral decay for Q updates. Both residuals are back-projected by a joint tomography engine to derive updated models Vi and Qi, which may be used as input to Q-migration on subsequent iterations of Q-VMB.

 

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