Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 2
Articles | Volume 19, issue 2
https://doi.org/10.5194/gmd-19-1007-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-19-1007-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 2
Development and technical paper
 | 
30 Jan 2026
Development and technical paper |  | 30 Jan 2026

Automated stratigraphic interpretation from drillhole lithological descriptions with uncertainty quantification: litho2strat 1.0

Vitaliy Ogarko and Mark Jessell

Viewed

Total article views: 7,320 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
6,297 781 242 7,320 233 324
  • HTML: 6,297
  • PDF: 781
  • XML: 242
  • Total: 7,320
  • BibTeX: 233
  • EndNote: 324
Views and downloads (calculated since 26 May 2025)
Cumulative views and downloads (calculated since 26 May 2025)

Viewed (geographical distribution)

Total article views: 7,320 (including HTML, PDF, and XML) Thereof 7,276 with geography defined and 44 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 12 Oct 2026
Download
Short summary
Millions of historical drillholes contain rock descriptions but lack stratigraphic information needed for subsurface modeling. We developed an automated method converting rock descriptions into stratigraphic interpretations by testing plausible sequences using regional maps. The approach quantifies uncertainty and correlates multiple drillholes. Testing on fifty-two South Australian drillholes successfully predicted correct sequences, unlocking legacy data value for geological surveys.
Read more
Share
Special issue
The Loop 3D stochastic geological modelling platform – development...