Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 1
Articles | Volume 16, issue 1
https://doi.org/10.5194/gmd-16-289-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-289-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 1
Model description paper
 | 
11 Jan 2023
Model description paper |  | 11 Jan 2023

The Intelligent Prospector v1.0: geoscientific model development and prediction by sequential data acquisition planning with application to mineral exploration

John Mern and Jef Caers

Viewed

Total article views: 7,286 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
5,940 1,250 96 7,286 112 149
  • HTML: 5,940
  • PDF: 1,250
  • XML: 96
  • Total: 7,286
  • BibTeX: 112
  • EndNote: 149
Views and downloads (calculated since 08 Aug 2022)
Cumulative views and downloads (calculated since 08 Aug 2022)

Viewed (geographical distribution)

Total article views: 7,286 (including HTML, PDF, and XML) Thereof 7,097 with geography defined and 189 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 03 Dec 2025
Download
Short summary
In this work, we formulate the sequential geoscientific data acquisition problem as a problem that is similar to playing chess against nature, except the pieces are not fully observed. Solutions to these problems are given in AI and rarely used in geoscientific data planning. We illustrate our approach to a simple 2D problem of mineral exploration.
Read more
Share