TBI Uses Seismic Forward Modelling to Refine Seismic Imaging Workflow
When: Thursday, October 6, 2016 9:00 AM - 9:30 AM MST
What: Join Thrust Belt Imaging (TBI) during this free informative webinar to learn more about the uses of seismic forward modelling to refine seismic imaging workflow.
Seismic data in complex land environments often presents imaging challenges due to rapid changes in near surface velocities and anisotropy. This webinar shows how Acceleware's seismic forward modelling product AxWAVE™ has allowed TBI to better understand these challenges and modify their workflow to get the most out of the data.
First, they will show an example of how they have optimized their ray-tracing through complex models using synthetic data from AxWAVE. Next, they will show the imaging improvement using a detailed near surface velocity model instead of statics corrections. Finally, they will show the impact of complex anisotropy in the near surface on the imaging of a deeper horizon.
These examples show how AxWAVE has enabled TBI to improve their understanding of velocity pitfalls in their seismic imaging and how they have further refined their workflow as a result.
Below is the recording of the webinar. Please contact us if you have any further questions!
Eric Trouillot – Director of Business Development and Technology, Seismic Imaging Software, Acceleware Ltd.
Eric is responsible for the global sales and product direction of Acceleware's seismic imaging software. He has over 27 years of experience in the upstream geoscience technology sector, and his previous experiences includes management positions at Paradigm Geophysical and at Halliburton providing geological, petrophysical and geophysical solutions to the oil and gas industry. Eric has a technical civil engineering degree from the University of Egletons in France.
Greg Cameron – Processing Manager, Thrust Belt Imaging
Greg manages the data processing team at Thrust Belt Imaging. He has over 15 years experience processing land seismic data from around the world. Greg has worked on data with a wide variety of processing objectives from AVO-compliant time-lapse surveys to complex structure datasets. He has extensive experience in near-surface modeling, multiple attenuation and multi-dimensional interpolation. Greg received a BScE in Geological Engineering from Queen’s University in 2001.