Solid Earth
Solid Earth
SE
Articles | Volume 10, issue 4
Articles | Volume 10, issue 4
https://doi.org/10.5194/se-10-1049-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/se-10-1049-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 4
Research article
 | 
05 Jul 2019
Research article |  | 05 Jul 2019

Quantification of uncertainty in 3-D seismic interpretation: implications for deterministic and stochastic geomodeling and machine learning

Alexander Schaaf and Clare E. Bond

Viewed

Total article views: 5,943 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,724 2,066 153 5,943 174 201
  • HTML: 3,724
  • PDF: 2,066
  • XML: 153
  • Total: 5,943
  • BibTeX: 174
  • EndNote: 201
Views and downloads (calculated since 02 Apr 2019)
Cumulative views and downloads (calculated since 02 Apr 2019)

Viewed (geographical distribution)

Total article views: 5,943 (including HTML, PDF, and XML) Thereof 5,000 with geography defined and 943 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 28 Jan 2026
Download
Short summary
Seismic reflection data allow us to infer subsurface structures such as horizon and fault surfaces. The interpretation of this indirect data source is inherently uncertainty, and our work takes a first look at the scope of uncertainties involved in the interpretation of 3-D seismic data. We show how uncertainties of fault interpretations can be related to data quality and discuss the implications for the 3-D modeling of subsurface structures derived from 3-D seismic data.
Read more
Share
Special issue
Understanding the unknowns: the impact of uncertainty in the...