CRS4

3d crs analysis: a new data-driven optimization strategy for the simultaneous estimate of the eight stacking parameters

Ernesto Bonomi, Antonio Maria Cristini, Daniela Theis, Paolo Marchetti
Proceedings of 79th Annual Meeting and International Exposition of the Society of Exploration Geophysics-SEG, Houston - Texas, Volume 28 - 2009
Download the publication : crs4_1386.pdf [2.4Mo]  
We devised a data-driven strategy for the simultaneous estimate of the eight CRS traveltime attributes, solving a global non-linear minimization problem without the need of computing gradients. The essential elements in this Eni research and development activity are the following: a conjugate-direction method supported by well known convergence properties and an iterative line-search implementing the strong Wolfe-Powell rule for the control of the steplength. The resulting algorithm can reach very good solutions in presence of many local minima.

BibTex references

@InProceedings{BCTM09a,
  author       = {Bonomi, E. and Cristini, A. and Theis, D. and Marchetti, P.},
  title        = {3d crs analysis: a new data-driven optimization strategy for the simultaneous estimate of the eight stacking parameters},
  booktitle    = {Proceedings of 79th Annual Meeting and International Exposition of the Society of Exploration Geophysics-SEG, Houston - Texas},
  volume       = {28},
  year         = {2009},
  keywords     = {data-driven method, stacking parameters, conjugate-direction algorithms, hpc},
  url          = {http://publications.crs4.it/pubdocs/2009/BCTM09a},
}

Other publications in the database

» Ernesto Bonomi
» Antonio Maria Cristini
» Daniela Theis
» Paolo Marchetti