SeisOptŪ velocity optimization software achieves a globally optimized, velocity model using only first arrival travel time data and array geometry as input. SeisOptŪ requires no prior assumptions of subsurface structure, or any other subjective data, as input. We employ a controlled Monte-Carlo inversion method where models derived from our algorithm are conditionally accepted or rejected based on a probability criterion. The criterion allows the algorithm to escape from non-unique, local, travel time minima to achieve a unique, globally optimized model of subsurface velocity structure. The algorithm makes no assumptions on the orientation of the subsurface velocity gradient, and can therefore reveal vertical structures and strong lateral gradients, if present.

The method is therefore ideal in areas characterized by strong lateral velocity gradients, and in areas with extreme topography or complex near-surface structure.

SeisOptŪ @2D velocity in an area with strong lateral velocity gradient.

Optim is also able to process 3D data sets. All of the data can be loaded and processed in a single run. As with our 2D methods, the only data input required are the first-arrival picks from the seismic data and array geometry. No other a prior data are required. The result will be a

2D or 3D velocity model of your study area that reveals subsurface velocity gradients both laterally and vertically.

Let Us Test Process Your Data.


About Us• Products• Peer-Reviewed Papers• Services• Support and Service• Case Studies• Employment• Contact Us• Home