Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 9
Articles | Volume 15, issue 9
https://doi.org/10.5194/gmd-15-3641-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-15-3641-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 9
Model description paper
 | 
09 May 2022
Model description paper |  | 09 May 2022

Blockworlds 0.1.0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models

Richard Scalzo, Mark Lindsay, Mark Jessell, Guillaume Pirot, Jeremie Giraud, Edward Cripps, and Sally Cripps

Viewed

Total article views: 4,531 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,453 978 100 4,531 100 128
  • HTML: 3,453
  • PDF: 978
  • XML: 100
  • Total: 4,531
  • BibTeX: 100
  • EndNote: 128
Views and downloads (calculated since 17 Aug 2021)
Cumulative views and downloads (calculated since 17 Aug 2021)

Viewed (geographical distribution)

Total article views: 4,531 (including HTML, PDF, and XML) Thereof 4,210 with geography defined and 321 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Nov 2025
Download
Short summary
This paper addresses numerical challenges in reasoning about geological models constrained by sensor data, especially models that describe the history of an area in terms of a sequence of events. Our method ensures that small changes in simulated geological features, such as the position of a boundary between two rock layers, do not result in unrealistically large changes to resulting sensor measurements, as occur presently using several popular modeling packages.
Read more
Share
Special issue
The Loop 3D stochastic geological modelling platform – development...