Bayesian Stratigraphy Integration of Geophysical, Geological, and Geotechnical Surveys Data Conference Paper uri icon


  • Abstract This paper introduces a probabilistic approach to significantly improve offshore site characterization from integrated geophysical, geological and geotechnical survey data, and from different technologies used from within each of these disciplines. The proposed Bayesian stratigraphy integration methodology is based on the sequential integration of available evidence (experimental observations, model predictions and experts beliefs), which allows for the reduction of uncertainty and improve the quality of geospatial analysis translated into higher stratigraphy resolution and higher confidence on the determination of sediments mechanical characteristics. A synthetic case study for a 2D heterogeneous shallow offshore soil media is presented to illustrate the overall methodology. One application of probabilistic cluster identification based on geological data is discussed (e.g. 1D density upscaling profile), as this is then transferred to a probabilistic geophysical inversion, including the corresponding uncertainty propagation and.

name of conference

  • Day 3 Wed, May 08, 2019

published proceedings

  • Day 3 Wed, May 08, 2019

author list (cited authors)

  • Medina-Cetina, Z., Son, J., & Moradi, M.

citation count

  • 4

complete list of authors

  • Medina-Cetina, Zenon||Son, Jungrak||Moradi, Moslem

publication date

  • April 2019