A novel workflow for seismic net pay estimation with uncertainty

M. Glinsky; D. Baptiste; M. Unaldi; V. Nagassar

DOI:10.1190/segam2016-13879729.1

Corpus ID: 118549699

A novel workflow for seismic net pay estimation with uncertainty

@article{Glinsky2016ANW,
  title={A novel workflow for seismic net pay estimation with uncertainty},
  author={M. Glinsky and D. Baptiste and M. Unaldi and V. Nagassar},
  journal={arXiv: Geophysics},
  year={2016},
  pages={2786-2790}
}

M. Glinsky, D. Baptiste, +1 author V. Nagassar

Published 2016

Computer Science, Physics, Geology

arXiv: Geophysics

This paper presents a novel workflow for seismic net pay estimation with uncertainty. It is demonstrated on the Cassra/Iris Field. The theory for the stochastic wavelet derivation (which estimates the seismic noise level along with the wavelet, time-to-depth mapping, and their uncertainties), the stochastic sparse spike inversion, and the net pay estimation (using secant areas) along with its uncertainty; will be outlined. This includes benchmarking of this methodology on a synthetic model. A… CONTINUE READING

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