A Live Webinar featuring, Dr. Scott MacKay

Duration/Format: 4 half-day interactive webinar sessions, July 28 to 31, 10:00 am to 2:00 pm Central Time (Houston, USA)

If you are new to the GSH Website, you will need to create a login ID to register and participate, thank you.

An interpreter-oriented approach to the theory, application, and interpretive aspects of depth imaging. The course covers an intuitive overview of migration theory and advances in tomography and full-waveform inversion for the near-surface model and velocity updating. A review of establishing seismic data polarity and phase is followed by a best practice for synthetic-seismogram ties; including the use of P-Impedance volumes and logs for greater accuracy.
Advanced database-validation methods, such as cross plots between horizon interpretations and well tops, are then used to identify and remove  inconsistencies before deriving anisotropic parameters and performing depth calibration.

Next, the course establishes intuitive QCs and provides spreadsheet analysis to plan and ensure stable depth solutions during the iterative depth-imaging process. A robust approach to well-top calibration of the depth volumes is demonstrated, as are statistical methods (freeware provided) for estimating depth uncertainty after calibration. Finally, the course reviews advanced attributes derived from depth imaging, including azimuthal inversion to yield lithologic
and stress-field (fracture) properties, plus practical aspects of machine-learning classification and estimation. 

Intended Audience: Seismic interpreters incorporating depth imaging into their evaluations, and depth-processing imagers looking to better interact with interpreters.

Learning Goals: Participants will gain an understanding of how to effectively design, guide, and quality control depth-imaging projects in a variety of geologic settings and be able to:
· Differentiate between time and depth migration
· Distinguish and select between commonly-used migration algorithms
· Evaluate the near-surface model: Using full-wave form inversion (below) and refraction solutions
· Issues and best practice for creating the initial velocity model (with attention to anisotropy!)
· Appraise methods for velocity updating (tomography/FWI) appropriate for the data and geology
· Establish consistency between well tops and horizons as part of database validation
· Plan and review QCs for iterative velocity updates
· Perform well-top calibration of depth-imaging volumes
· Implement practical aspects of machine-learning classification and estimation

Miss part of the sessions? Never fear. All sessions are recorded and available for later viewing by registered users.
It works on PC's, iPads, or iPhones. No travel costs. 1.6 CEU's are awarded.