Velocity Modelling and Depth Imaging

SIP's unique depth migration workflow has as its starting point the highly accurate and geological AutoImager interval velocity field. This is, in most cases, a 90-95% accurate model for depth imaging. We can then either run a tomographic update (a single update is normally sufficient) or utilise the AutoImager technique in the depth domain to finalise the depth model. Both methods result in significant time and cost savings for the client and a more accurate image in depth. This key technology combination makes the endless iterations of tomography and horizon picking offered by other contractors redundant.

The final migration can then be performed by whichever migration algorithm suits the data best. SIP have 2 RTM algorithms (Tierra Geophysical and Tsunami) plus the traditional Kirchhoff techniques.

New Agreement with Tsunami Development LLC

Seismic Image Processing Ltd (SIP) is pleased to announce that it has signed an agreement with Tsunami Development of Houston, Texas for complete access to all their Depth Migration software. This partnership means that the unique and geologically accurate interval velocities derived from our AutoImager™ technology can be used as a near-perfect starting model for 3D pre-stack depth migration. Only one or two iterations of tomography (if at all) are subsequently required, which gives SIP a distinct advantage over other contractors.

AutoImager is a trademark of Data Modeling Inc.

About Tsunami Development

Tsunami Development was formed in 2000 with the goal of developing prestack migration software designed and optimised to take full advantage of the low cost linux cluster technology. This meant writing software code from scratch and not recompiling existing code to run in a Linux cluster as so many other companies have done. Tsunami migrations are faster than the most popular systems with better image quality. The exceptional scalability has been tested and proved over 1000's of CPUS.

See www.tsunamidevelopment.com for more information