Seismic data processing

Tunnelseis offers seismic processing services in the area of tunnel seismology and beyond. Our expertise may be particularly interesting to clients who (1) appreciate a careful data analysis and processing that honours the character of the data to aim at the best result and who (2) do have a data set with poor signal quality and high noise level. We do not simply pipe the data through a standard processing flow. Instead we may build the optimum processing flow for each particular data set. This can mean that new processes have to be developed or available processes have to be combined in a new way. Both can be done quickly because over the years we build a big tool-box of modules and special purpose subroutines that we can combine freely and efficiently.
Our reflection seismic processing capabilities allow anything between a standard processing flow centering around CMP-gathers and NMO-processing and a most advanced automatic pre-stack migration residual moveout analysis for velocity analysis in a standard or in a tunnel seismic geometry. Many single channel and multi channel filter operations can be included in the work flow, several are not available elsewhere. Discrimination between desired signal and noise is among our specialities along with amplitude preservation. We have several options to compute traveltimes and to invert them or to use them for imaging in two or three dimensions. Seismic attribute analysis and geostatistical techniques like kriging may support the interpretation. Borehole logs, vertical seismic profiles and similar data or refractions may all be processed and analysed by Tunnelseis.
Here are the principles that guide our processing work at Tunnelseis

  • quality first: A high-quality processing requires careful data analysis and parameter selection and this at all stages of processing

  • no black boxes: Use only processing modules whos source code is accessable and which are well understood and preferably have been implemented by Tunnelseis

  • no standard flow: Build the optimum processing flow for each particular data set

  • be open to innovations: Combine processes in a new way or invent new ones where this promises better results

  • think positive: Poor data is a challenge rather than a burden

  • honour physics: Processing must be guided by physical principles; we may not use processes like AGC except for display purposes

Last updated January 12, 2006. © 2006, Tunnelseis. All rights reserved.