A stochastic approach to uncertainty quantification in residual moveout analysis

T. Johng-Ay*, E. Landa, S. Dossou-Gbété, L. Bordes

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review


Oil and gas exploration and production relies usually on the interpretation of a single seismic image, which is obtained from observed data. However, the statistical nature of seismic data and the various approximations and assumptions are sources of uncertainties which may corrupt the evaluation of parameters. The quantification of these uncertainties is a major issue which supposes to help in decisions that have important social and commercial implications. The residual moveout analysis, which is an important step in seismic data processing is usually performed by a deterministic approach. In this paper we discuss a Bayesian approach to the uncertainty analysis.

Original languageEnglish
Pages (from-to)52-59
Number of pages8
JournalJournal of Applied Geophysics
StatePublished - 1 Jun 2015
Externally publishedYes


  • Bayesian approach
  • Common image gathers
  • Residual moveout analysis
  • Uncertainty analysis


Dive into the research topics of 'A stochastic approach to uncertainty quantification in residual moveout analysis'. Together they form a unique fingerprint.

Cite this